Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetr...Pouyan Fakharian
Resilient modulus (Mr) of subgrade soils is considered as one of the most important factors for designing flexible pavements using empirical methods as well as mechanistic-empirical methods. The resilient modulus is commonly measured by a dynamic triaxial loading test, which is complex and expensive. In this research, back-propagation artificial neural network method has been employed to model the resilient modulus of clayey subgrade soils based on the results of the cone penetration test. The prediction of the resilient modulus of clayey subgrade soil can be possible through the developed neural network based on the parameters of the cone tip resistance (qc), sleeve friction (fs), moisture content (w), and dry density (γd). The results of the present study show that the coefficients of determination (R2) for training and testing sets are 0.9837 and 0.9757, respectively. According to the sensitivity analysis results, the moisture content is the least important parameter to predict the resilient modulus of clayey subgrade soils, while the importance of other parameters is almost the same. In this study, the effect of different parameters on the resilient modulus of clayey subgrade soil was evaluated using parametric analysis and it was found that with increasing the cone tip resistance (qc), the sleeve friction (fs) and the dry density (γd) and also with decreasing the moisture content (w) of soils, the resilient modulus of clayey subgrade soils increases.
An Investigation of the Interlayer Adhesion Strength in Deeper Layers of the ...AM Publications
A road pavement structure is typically composed of different layers arranged one on top of the other, all supported by a natural or improved subgrade. The main purpose of this configuration is to provide the most effective structure with adequate potential to spread traffic loading from the surface to the subgrade with minimum damage. In spite of material properties and construction techniques, researchers have shown that the overall pavement performance is significantly influenced by the interlayer adhesion condition throughout the pavement structure ([8], [11], [21], [22]). Lack of intimate contact between layers results in them acting as individuals rather than as a thick bonded unit. This therefore induces overloading of layers which leads to premature deterioration of the entire structure due to traffic induced distresses. This work, therefore investigated the interlayer adhesion characteristics between the granular base and the lightly cemented subbase of a typical South African pavement structure. The influence of bonding condition on the overall pavement performance was also studied. A series of interlayer direct shear tests was run on 300 x 300 mm samples made of two layers: a 100mm G2 Granular Base (GB) compacted on top of the 100mm Cement Treated Subbase (CTSB) composed of a G5 material stabilised with 1.8% of cement. Effects of the CTSB scarification, normal pressure and moisture conditions were analysed whereby the results of the interlayer strength tests were compared with those of intra-layer strength tests. The comparative analysis showed that scarifying the CTSB before laying the GB enhances intimate contact between two layers and stimulates the unison interaction which, according to structural modelling results, improves the overall pavement performance.
A new proposed approach for moment capacity estimation of ferrocement members...Pouyan Fakharian
Ferrocement composites are widely used as a novel method for many different structural purposes recently. The uniform distribution and the high surface area-to-volume ratio of the reinforcement of such composites would improve the crack-arresting mechanism. Given these properties, ferrocement is an ideal option as a replacement for some traditional structures methods. In members with axially loaded reinforced concrete ferrocement composite, it would be the best alternative to use ferrocement members. Lack of sufficient research in this approach is the cause of not well defining this field for RC structures. This study has aimed to evaluate the moment capacity of ferrocement members using the GMDH method. Mechanical and geometrical parameters including the width of specimens, total depth specimens, compressive strength of ferrocement, ultimate strength of wire mesh and volume fraction of wire mesh are considered as inputs to predict the moment capacity of ferrocement members. For evaluating this model, mean absolute error (MAE), root mean absolute error (RMAE), normalized root mean square error (NRMSE) and mean absolute percentage error (MAPE) were carried out. The results conducted that the GMDH model is significantly better than some previous models and comparable to some other methods. Moreover, a new formulation for moment capacity of ferrocement members based on GMDH approach is presented. Finally, Sensitivity analysis is operated to understand the influence of each input parameters on moment capacity of ferrocement members.
Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-N...Pouyan Fakharian
To provide lateral resistance in structures as well as buildings, there are some types of structural systems such as shear walls. The utilization of lateral loads occurs on a plate on the wall's vertical dimension. Conventionally, these sorts of loads are transferred to the wall collectors. There is a significant resistance between concrete shear walls and lateral seismic loading. To guarantee the building's seismic security, the shear strength of the walls has to be prognosticated by using models. This paper aims to predict shear strength by using Artificial Neural Network (ANN), Neural Network-Based Group Method of Data Handling (GMDH-NN), and Gene Expression Programming (GEP). The concrete's compressive strength, the yield strength of transverse reinforcement, the yield strength of vertical reinforcement, the axial load, the aspect ratio of the dimensions, the wall length, the thickness of the reinforced concrete shear wall, the transverse reinforcement ratio, and the vertical reinforcement ratio are the input parameters for the neural network model. And the shear strength of the reinforced concrete shear wall is considered as the target parameter of the ANN model. The results validate the capability of the models predicted by ANN, GMDH-NN, and GEP, which are suitable for use as a tool for predicting the shear strength of concrete shear walls with high accuracy.
The purpose of this paper is to perform a structural optimization of a flat thermoplastic plate (tile). This task is developed computationally through the interface between an optimization algorithm and the finite element method with the goal of minimizing the equivalent stress with specified target stress of 2 MPa when applied with a load intensity of 1000N. A 300 x 300 x 20 mm thermoplastic plate was selected for the optimization, which was performed with a tool in MATLAB R2012b known as genetic algorithm accompanied with static analysis in ANSYS 15. The results produced the optimum equivalent stress (δopt) of 2.136 MPa with the optimum dimensions of 305 x 302 x 20 mm. Also, the dimensions of the plate with the optimum value of the equivalent stress were discovered to be within the lower and upper bound dimensions of the plate. The thermoplastic plate object of the optimization was a square plate of 300 x 300mm, and 20 mm thick with isotropic properties and a particular load and boundary conditions were applied on the entire plate.
Improving the Properties of Self-compacted Concrete with Using Combined Silic...Pouyan Fakharian
The viscosity is the main property of self- compacted concrete (SCC) and using of pozzolan material such as metakaolin (MK) and Silica fume (SF) can help to achieve that goal. The effect of simultaneous substitution of MK and SF instead of cement on the rheological and mechanical properties of self-compacted concrete was experimentally investigated in this paper. Seventeen mix designs were cast with a substitution weight percentage (5, 10, 15, 20 %) in water to adhesive material ratio equal 0.32. All mixes were examined by compressive, tensile strengths and water absorption tests with an appropriate fluidity, without having signs of segregation or instability. The test results were indicated that the SCC mixes containing MK and SF had higher compressive and tensile strengths in comparison with no-pozzolan concrete. The comparison of linear multiple regression techniques (LMRT) and nonlinear multiple regression technique outputs with experimental results showed an appropriate similarity.
Today, retrofitting of the old structures is important. For this purpose, determination of capacities for these buildings, which mostly are non-ductile, is a very useful tool. In this context, non-ductile RC joint in concrete structures, as one of the most important elements in these buildings are considered, and the shear capacity, especially for retrofitting goals can be very beneficial. In this paper, three famous soft computing methods including artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) and also group method of data handling (GMDH) were used to estimating the shear capacity for this type of RC joints. A set of experimental data which were a failure in joint are collected, and first, the effective parameters were identified. Based on these parameters, predictive models are presented in detail and compare with each other. The results showed that the considered soft computing techniques are very good capabilities to determine the shear capacity.
This document presents a study that uses gene expression programming (GEP) to develop a model for predicting sediment transport in sewers under no-deposition conditions. The study first reviews existing sediment transport equations developed using dimensional analysis and semi-experimental methods. It then describes using GEP to present six different models considering effective parameters on sediment transport. The best model is selected by comparing their performance on validation data not used in model development. The results show the GEP model achieves a root mean squared error of 0.12 and mean average percentage error of 2.56 on the training data, and 0.14 and 2.82 respectively on the validation data. This performance is compared to existing sediment transport equations.
Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetr...Pouyan Fakharian
Resilient modulus (Mr) of subgrade soils is considered as one of the most important factors for designing flexible pavements using empirical methods as well as mechanistic-empirical methods. The resilient modulus is commonly measured by a dynamic triaxial loading test, which is complex and expensive. In this research, back-propagation artificial neural network method has been employed to model the resilient modulus of clayey subgrade soils based on the results of the cone penetration test. The prediction of the resilient modulus of clayey subgrade soil can be possible through the developed neural network based on the parameters of the cone tip resistance (qc), sleeve friction (fs), moisture content (w), and dry density (γd). The results of the present study show that the coefficients of determination (R2) for training and testing sets are 0.9837 and 0.9757, respectively. According to the sensitivity analysis results, the moisture content is the least important parameter to predict the resilient modulus of clayey subgrade soils, while the importance of other parameters is almost the same. In this study, the effect of different parameters on the resilient modulus of clayey subgrade soil was evaluated using parametric analysis and it was found that with increasing the cone tip resistance (qc), the sleeve friction (fs) and the dry density (γd) and also with decreasing the moisture content (w) of soils, the resilient modulus of clayey subgrade soils increases.
An Investigation of the Interlayer Adhesion Strength in Deeper Layers of the ...AM Publications
A road pavement structure is typically composed of different layers arranged one on top of the other, all supported by a natural or improved subgrade. The main purpose of this configuration is to provide the most effective structure with adequate potential to spread traffic loading from the surface to the subgrade with minimum damage. In spite of material properties and construction techniques, researchers have shown that the overall pavement performance is significantly influenced by the interlayer adhesion condition throughout the pavement structure ([8], [11], [21], [22]). Lack of intimate contact between layers results in them acting as individuals rather than as a thick bonded unit. This therefore induces overloading of layers which leads to premature deterioration of the entire structure due to traffic induced distresses. This work, therefore investigated the interlayer adhesion characteristics between the granular base and the lightly cemented subbase of a typical South African pavement structure. The influence of bonding condition on the overall pavement performance was also studied. A series of interlayer direct shear tests was run on 300 x 300 mm samples made of two layers: a 100mm G2 Granular Base (GB) compacted on top of the 100mm Cement Treated Subbase (CTSB) composed of a G5 material stabilised with 1.8% of cement. Effects of the CTSB scarification, normal pressure and moisture conditions were analysed whereby the results of the interlayer strength tests were compared with those of intra-layer strength tests. The comparative analysis showed that scarifying the CTSB before laying the GB enhances intimate contact between two layers and stimulates the unison interaction which, according to structural modelling results, improves the overall pavement performance.
A new proposed approach for moment capacity estimation of ferrocement members...Pouyan Fakharian
Ferrocement composites are widely used as a novel method for many different structural purposes recently. The uniform distribution and the high surface area-to-volume ratio of the reinforcement of such composites would improve the crack-arresting mechanism. Given these properties, ferrocement is an ideal option as a replacement for some traditional structures methods. In members with axially loaded reinforced concrete ferrocement composite, it would be the best alternative to use ferrocement members. Lack of sufficient research in this approach is the cause of not well defining this field for RC structures. This study has aimed to evaluate the moment capacity of ferrocement members using the GMDH method. Mechanical and geometrical parameters including the width of specimens, total depth specimens, compressive strength of ferrocement, ultimate strength of wire mesh and volume fraction of wire mesh are considered as inputs to predict the moment capacity of ferrocement members. For evaluating this model, mean absolute error (MAE), root mean absolute error (RMAE), normalized root mean square error (NRMSE) and mean absolute percentage error (MAPE) were carried out. The results conducted that the GMDH model is significantly better than some previous models and comparable to some other methods. Moreover, a new formulation for moment capacity of ferrocement members based on GMDH approach is presented. Finally, Sensitivity analysis is operated to understand the influence of each input parameters on moment capacity of ferrocement members.
Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-N...Pouyan Fakharian
To provide lateral resistance in structures as well as buildings, there are some types of structural systems such as shear walls. The utilization of lateral loads occurs on a plate on the wall's vertical dimension. Conventionally, these sorts of loads are transferred to the wall collectors. There is a significant resistance between concrete shear walls and lateral seismic loading. To guarantee the building's seismic security, the shear strength of the walls has to be prognosticated by using models. This paper aims to predict shear strength by using Artificial Neural Network (ANN), Neural Network-Based Group Method of Data Handling (GMDH-NN), and Gene Expression Programming (GEP). The concrete's compressive strength, the yield strength of transverse reinforcement, the yield strength of vertical reinforcement, the axial load, the aspect ratio of the dimensions, the wall length, the thickness of the reinforced concrete shear wall, the transverse reinforcement ratio, and the vertical reinforcement ratio are the input parameters for the neural network model. And the shear strength of the reinforced concrete shear wall is considered as the target parameter of the ANN model. The results validate the capability of the models predicted by ANN, GMDH-NN, and GEP, which are suitable for use as a tool for predicting the shear strength of concrete shear walls with high accuracy.
The purpose of this paper is to perform a structural optimization of a flat thermoplastic plate (tile). This task is developed computationally through the interface between an optimization algorithm and the finite element method with the goal of minimizing the equivalent stress with specified target stress of 2 MPa when applied with a load intensity of 1000N. A 300 x 300 x 20 mm thermoplastic plate was selected for the optimization, which was performed with a tool in MATLAB R2012b known as genetic algorithm accompanied with static analysis in ANSYS 15. The results produced the optimum equivalent stress (δopt) of 2.136 MPa with the optimum dimensions of 305 x 302 x 20 mm. Also, the dimensions of the plate with the optimum value of the equivalent stress were discovered to be within the lower and upper bound dimensions of the plate. The thermoplastic plate object of the optimization was a square plate of 300 x 300mm, and 20 mm thick with isotropic properties and a particular load and boundary conditions were applied on the entire plate.
Improving the Properties of Self-compacted Concrete with Using Combined Silic...Pouyan Fakharian
The viscosity is the main property of self- compacted concrete (SCC) and using of pozzolan material such as metakaolin (MK) and Silica fume (SF) can help to achieve that goal. The effect of simultaneous substitution of MK and SF instead of cement on the rheological and mechanical properties of self-compacted concrete was experimentally investigated in this paper. Seventeen mix designs were cast with a substitution weight percentage (5, 10, 15, 20 %) in water to adhesive material ratio equal 0.32. All mixes were examined by compressive, tensile strengths and water absorption tests with an appropriate fluidity, without having signs of segregation or instability. The test results were indicated that the SCC mixes containing MK and SF had higher compressive and tensile strengths in comparison with no-pozzolan concrete. The comparison of linear multiple regression techniques (LMRT) and nonlinear multiple regression technique outputs with experimental results showed an appropriate similarity.
Today, retrofitting of the old structures is important. For this purpose, determination of capacities for these buildings, which mostly are non-ductile, is a very useful tool. In this context, non-ductile RC joint in concrete structures, as one of the most important elements in these buildings are considered, and the shear capacity, especially for retrofitting goals can be very beneficial. In this paper, three famous soft computing methods including artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) and also group method of data handling (GMDH) were used to estimating the shear capacity for this type of RC joints. A set of experimental data which were a failure in joint are collected, and first, the effective parameters were identified. Based on these parameters, predictive models are presented in detail and compare with each other. The results showed that the considered soft computing techniques are very good capabilities to determine the shear capacity.
This document presents a study that uses gene expression programming (GEP) to develop a model for predicting sediment transport in sewers under no-deposition conditions. The study first reviews existing sediment transport equations developed using dimensional analysis and semi-experimental methods. It then describes using GEP to present six different models considering effective parameters on sediment transport. The best model is selected by comparing their performance on validation data not used in model development. The results show the GEP model achieves a root mean squared error of 0.12 and mean average percentage error of 2.56 on the training data, and 0.14 and 2.82 respectively on the validation data. This performance is compared to existing sediment transport equations.
This document discusses a finite element analysis that was performed to evaluate the responses of asphalt pavement mixtures modified with different additives. A 2D model was created using PLAXIS software to simulate pavement structures consisting of an asphalt layer modified with nano silica, silica fume, lime, rubber or polymer over an aggregate base and subgrade. Laboratory testing was conducted to determine modulus and Poisson's ratio of the modified mixtures. The model analyzed vertical displacement and stresses under traffic loads and found that mixtures modified with silica fume exhibited the least deformation and stresses.
IRJET- Assessment and Evaluation of Crash Barrier for Enhanced Safety Perform...IRJET Journal
This document reviews different types of crash barriers used in roadways and their safety performance evaluations. It discusses various studies that have evaluated crash barriers through computer simulations, crash tests, and analyses of real-world collision data. The key findings are that different barrier designs have varying safety advantages, with weaker barriers generally performing better in reducing occupant injuries. Finite element modeling is commonly used to simulate impacts before physical crash testing. Evaluation criteria include structural integrity, risk to occupants, and vehicle trajectory after collisions. The document concludes that crash barriers effectively reduce the severity of accidents but may increase total collision numbers by redirecting vehicles rather than allowing them to leave the roadway.
Moisture penetration causes many direct and indirect distresses in flexible asphalt pavement. Due to damage in asphalt concrete and binder by moisture are the prime concern of failure for flexible pavement worldwide. The causes and prediction are investigated in this study. The asphalt binder was modified with carbon nanotubes (CNT) with very small percentages. The modified binder was simulated with moisture damage with AASHTO T-283 methods. In this study, polymer and carbon nanotubes (CNT) have been added to liquid asphalt binder to examine whether the resulting modified binder has improved moisture damage resistance. Using laboratory tested data, an artificial intelligence modeling technique has been utilized to determine the moisture damage behavior of the modified binder. Multi-Layer Perceptron (MLP) provides the best prediction for wet and dry samples AFM readings with R2 values respectively 0.6407 and 0.8371.
USING ADVANCED INSPECTION METHOD (THREE-DIMENSIONAL ULTRASONIC)IN RECOGNITION...msejjournal
In this study, using Harfang Code 32 device, the slag catcher pipelines in one of the South Pars phases
were tested. In radiography method of these lines, no clear defect was observed in radiographic films due
to the high thickness of 40 mm. However, marvelous results were obtained using advanced ultrasonic.
Review and analysis of the results will result in high potential of three-dimensional ultrasonic method in
identifying defects in pipelines with high thicknesses and preventing financial and life-threatening risks
during the use of these refineries in the future.
Developing A Prediction Model for Tensile Elastic Modulus of Steel Fiber – Ce...IJRESJOURNAL
ABSTRACT: This paper attempts to develop a prediction model that can be used in line with prescribed laboratory experiments for indirect tensile test such that tensile elastic modulus can be predicted for cement stabilized lateritic soil reinforced with steel fiber using measured properties of the material. The results of the tensile elastic modulus obtained from the Derived Prediction Model almost nearly replicates that obtained from calculations from laboratory experimentation. Results obtained revealed that both the predicted values and calculated values have a linear correlation with an R2 of 96.4%. On this basis the Derived Prediction Model can be said to be valid within the limits of the study.
Prof G.K.Pradhan successfully demonstrted the use of empty plastic bottles in explosives column during blasting. Resulted is savings in blasting cost and immense benefits attached environmental problems.
Smooth Particle Hydrodynamics for Bird-Strike Analysis Using LS-DYNAdrboon
In this second of a three-paper sequence, we developed a standard work using the Smoothed Particle Hydrodynamic (SPH) approach in LS-DYNA and compared the results against those the Lagrangian model and available experimental results. First, the SPH model was validated against a one-dimensional beam centered impact’s analytical solution and the results are within 3% error. Bird-strike events were divided into three separate problems: frontal impact on rigid flat plate, 0 and 30 deg impact on deformable tapered plate. The bird model was modeled as a cylindrical fluid. We successfully identified the most influencing parameters when using SPH in LS-DYNA. The case for 0 deg tapered plate impact shows little bird-plate interaction because the bird is sliced in two parts and the results are within 5% difference from the test data available in the literature, which is an improvement over the Lagrangian model. Conclusion: The developed SPH approach is suitable for bird-strike events within 10% error.
A new gradient based step size controlled inverse eigen sensitivity algorithm...Subhajit Mondal
The dynamic performance of any structure is extremely important from the safety, vibration serviceability and its operation point of view. Such behaviour is dependent mainly on the material properties and boundary stiffness parameters. For old infrastructural facilities in exposed environment, such parameters undergo substantial degradation from their initial values and are difficult to be assessed directly in operating conditions. These deteriorated parameters are estimated solving an inverse problem by correlating responses which can be easily measured with the responses obtained using finite element modeling and updating the initially assumed values of the parameters. The objective function, describing the differences in responses between the experimental and numerical models, is minimized iteratively to estimate the material and boundary stiffness parameters. The gradient based optimization methods are preferred due to their faster convergence from a set of initial guess points, but suffers mostly from lack of reliable methodology to select appropriate step sizes. Arbitrary selection of step sizes may sometimes work well, depending upon the judgment of the user, but is case specific. The present work describes the estimation of existing material properties and boundary stiffness of isotropic and orthotropic plates from measured frequencies and mode shapes using a new gradient based step size controlled inverse eigensensitivity algorithm. The method takes a strategy that the step sizes automatically become smaller when the change in gradient of objective function is having a high value and similarly, takes larger steps when the gradient is remaining fairly constants in subsequent iterations. The results obtained from the investigations are encouraging, as some convergences could be achieved by this new adaptive step size control only, whereas methods adopting arbitrary or no step size control diverged.
S. Rahesh conducted a study to optimize the use of plastic waste aggregates (PWAs) as a partial replacement for normal aggregates in concrete. Response surface methodology (RSM) and absolute volume method (AVM) were used to design mixes with up to 30% aggregate replacement by two types of PWAs. Results showed PWAs can be used to produce concrete with acceptable properties, with the highest compressive strength achieved at 0% replacement by one PWA type and 24% replacement by the other PWA type. This approach helps utilize plastic waste while maintaining good engineering properties in concrete.
The document summarizes a study on developing a new precast thin wall spread foundation called an IBS footing for use in low to moderate rise buildings using an Industrialized Building System approach. A parametric study using PLAXIS finite element software investigated the effect of wall length and thickness on the axial bearing capacity of different footing designs. The study found that increasing the wall length had a greater effect on bearing capacity than increasing the wall thickness. Based on the results, a new IBS footing design was proposed. Finite element analysis of the proposed footing using ABAQUS software determined that it could achieve a bearing capacity of 380 kPa for a 25 mm settlement, confirming its viability.
This document analyzes the nonlinear dynamic behavior of functionally graded micro-pipes conveying fluid using strain gradient theory. It develops mathematical formulations based on the Euler-Bernoulli beam model and von Kármán geometric nonlinearity. The properties of the functionally graded micro-pipes vary according to a power law distribution across the thickness. Hamilton's principle is used to obtain the differential equation of motion and boundary conditions for simply supported pipes. Galerkin's method expresses the governing equation as a Duffing equation. The homotopy analysis method is then used to determine explicit expressions for the nonlinear fundamental frequency for different fluid velocities and power law indices.
This document describes a multi-scale modeling study of the influence of porosity on the mechanical properties and fracture of Gilsocarbon graphite. The study used micro-cantilever tests to determine material properties at the microscale and developed a multi-scale model to predict properties at larger scales. The model accounted for the graphite's microstructure of matrix, filler particles, and pores. Simulation results showed decreasing mechanical properties with increasing porosity and that pore size distribution and particle-matrix interface strength significantly affect properties and crack propagation.
RESULTS OF FINITE ELEMENT ANALYSIS FOR INTERLAMINAR FRACTURE REINFORCED THERM...MSEJjournal1
The double cantilever beam (DCB) is widely used for fracture toughness testing and it has become popular
for opening-mode (mode I) delamination testing of laminated composites. Delamination is a crack that
forms between the adjacent plies of a composite laminate at the brittle polymer resin. This study was
conducted to emphasize the need for a better understanding of the DCB specimen of different fabric
reinforced systems (carbon fibers) with a thermoplastic matrix (EP, PEI), by using the extended finite
element method (X-FEM). It is well known that in fabric reinforced composites fracture mechanisms
include microcracking in front of the crack tip, fiber bridging and multiple cracking, and both contribute
considerably to the high interlaminar fracture toughness measured. That means, the interlaminar fracture
toughness of a composite is not controlled by a single material parameter, but is a result of a complex
interaction of resin, fiber and interface properties.
Bird-Strike Modeling Based on the Lagrangian Formulation Using LSDYNAdrboon
This document summarizes research on modeling bird-strike events using LS-DYNA's Lagrangian formulation. Key points:
- Bird-strikes pose safety risks and costs to the aviation industry, motivating efforts to model and predict damage through simulation.
- The bird is modeled as a fluid, and the Lagrangian method tracks material deformation. Initial validation involved a beam impact problem, with results within 2.5% of analytical solutions.
- Bird-strike events were divided into impacts on rigid and deformable plates at different angles, modeled after existing literature. Peak pressures and forces from simulations were within 10% of test data.
- The developed Lagrangian approach is suitable for modeling bird-strikes to predict
Estimating damping in structure made of different m aterials (steel,brass,aluminum) and processes sti ll remains as one of the biggest challengers. All mate rials posses certain amount of internal damping,wh ich manifested as dissipation of energy from the system . This energy in a vibratory system is either dissipated into heat or radiated away from the syst em. Material damping or internal damping contribute s to about 10-15% of total system damping. Cantilever beams of required size & shape are prepared for experimental purpose & damping ratio is investigate d. Damping ratio is determined by half-power bandwidth method. It is observed that damping ratio is higher for steel than brass than aluminum.
Comparative study of experimental and analytical results of frp strengthened ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IRJET- In-Situ Testing of Concrete Structures – A ReviewIRJET Journal
This document reviews various in-situ testing methods for concrete structures. It discusses common non-destructive testing (NDT) methods like rebound hammer testing and ultrasonic pulse velocity testing that can evaluate concrete strength and homogeneity. The document summarizes several studies that have investigated using these NDT methods to predict compressive concrete strength by correlating NDT results with destructive testing data. It concludes that while NDT methods are useful for assessing concrete properties, interpretation of test results can be difficult due to various factors affecting measurements.
Steve Jones presents "Development of Civil Engineering Design skills through active learning" at the University of Liverpool Learning and Teaching Conference 2009.
In 2008 the Department of Engineering launched the Liverpool Engineer initiative, which comprises an educational framework incorporating the principles of CDIO to develop multifaceted engineers ready to meet the professional needs of the 21st century. Active learning is at the core of the Liverpool Engineer learning and teaching philosophy. For Civil Engineering students the development of open minded design skills is fostered through a series of three Design-Build-Test projects, introduced in the first year of their academic studies. Students work in groups to develop a model cardboard bridge. The new Active Learning Laboratory was completed in 2008 and provides an ideal facility for these projects.
The structured progression of the bridge design projects allows students to explore the properties of tension and compression members fabricated from cardboard. Their findings are compared with member properties derived from computer structural analyses to allow them to develop a complete bridge structure with the specified factor of safety. The truss geometry and member properties of the first "Icebreaker" bridge are tightly constrained. For the second and third bridges the student groups have increasing freedom to develop their own concepts and structural solutions to the problem.
The presentation will focus on the student experience and some problems and pitfalls encountered with their understanding of structural behaviour.
This document outlines procedures for performing an unconfined compression test to determine the shear strength of cohesive soils. It describes the objectives of the test as measuring the shearing resistance and shear strength parameters (c and φ) of undisturbed or remolded cohesive soil specimens. The theory section explains that the unconfined compressive strength is the load per unit area at which a soil cylinder fails in compression and is used to calculate the soil's undrained shear strength as one half the unconfined compressive strength. The document provides details on required equipment, procedures for specimen preparation and testing, methods for data analysis and calculation of stress and strain, and conclusions regarding determination of unconfined compressive strength and undrained
This document discusses a finite element analysis that was performed to evaluate the responses of asphalt pavement mixtures modified with different additives. A 2D model was created using PLAXIS software to simulate pavement structures consisting of an asphalt layer modified with nano silica, silica fume, lime, rubber or polymer over an aggregate base and subgrade. Laboratory testing was conducted to determine modulus and Poisson's ratio of the modified mixtures. The model analyzed vertical displacement and stresses under traffic loads and found that mixtures modified with silica fume exhibited the least deformation and stresses.
IRJET- Assessment and Evaluation of Crash Barrier for Enhanced Safety Perform...IRJET Journal
This document reviews different types of crash barriers used in roadways and their safety performance evaluations. It discusses various studies that have evaluated crash barriers through computer simulations, crash tests, and analyses of real-world collision data. The key findings are that different barrier designs have varying safety advantages, with weaker barriers generally performing better in reducing occupant injuries. Finite element modeling is commonly used to simulate impacts before physical crash testing. Evaluation criteria include structural integrity, risk to occupants, and vehicle trajectory after collisions. The document concludes that crash barriers effectively reduce the severity of accidents but may increase total collision numbers by redirecting vehicles rather than allowing them to leave the roadway.
Moisture penetration causes many direct and indirect distresses in flexible asphalt pavement. Due to damage in asphalt concrete and binder by moisture are the prime concern of failure for flexible pavement worldwide. The causes and prediction are investigated in this study. The asphalt binder was modified with carbon nanotubes (CNT) with very small percentages. The modified binder was simulated with moisture damage with AASHTO T-283 methods. In this study, polymer and carbon nanotubes (CNT) have been added to liquid asphalt binder to examine whether the resulting modified binder has improved moisture damage resistance. Using laboratory tested data, an artificial intelligence modeling technique has been utilized to determine the moisture damage behavior of the modified binder. Multi-Layer Perceptron (MLP) provides the best prediction for wet and dry samples AFM readings with R2 values respectively 0.6407 and 0.8371.
USING ADVANCED INSPECTION METHOD (THREE-DIMENSIONAL ULTRASONIC)IN RECOGNITION...msejjournal
In this study, using Harfang Code 32 device, the slag catcher pipelines in one of the South Pars phases
were tested. In radiography method of these lines, no clear defect was observed in radiographic films due
to the high thickness of 40 mm. However, marvelous results were obtained using advanced ultrasonic.
Review and analysis of the results will result in high potential of three-dimensional ultrasonic method in
identifying defects in pipelines with high thicknesses and preventing financial and life-threatening risks
during the use of these refineries in the future.
Developing A Prediction Model for Tensile Elastic Modulus of Steel Fiber – Ce...IJRESJOURNAL
ABSTRACT: This paper attempts to develop a prediction model that can be used in line with prescribed laboratory experiments for indirect tensile test such that tensile elastic modulus can be predicted for cement stabilized lateritic soil reinforced with steel fiber using measured properties of the material. The results of the tensile elastic modulus obtained from the Derived Prediction Model almost nearly replicates that obtained from calculations from laboratory experimentation. Results obtained revealed that both the predicted values and calculated values have a linear correlation with an R2 of 96.4%. On this basis the Derived Prediction Model can be said to be valid within the limits of the study.
Prof G.K.Pradhan successfully demonstrted the use of empty plastic bottles in explosives column during blasting. Resulted is savings in blasting cost and immense benefits attached environmental problems.
Smooth Particle Hydrodynamics for Bird-Strike Analysis Using LS-DYNAdrboon
In this second of a three-paper sequence, we developed a standard work using the Smoothed Particle Hydrodynamic (SPH) approach in LS-DYNA and compared the results against those the Lagrangian model and available experimental results. First, the SPH model was validated against a one-dimensional beam centered impact’s analytical solution and the results are within 3% error. Bird-strike events were divided into three separate problems: frontal impact on rigid flat plate, 0 and 30 deg impact on deformable tapered plate. The bird model was modeled as a cylindrical fluid. We successfully identified the most influencing parameters when using SPH in LS-DYNA. The case for 0 deg tapered plate impact shows little bird-plate interaction because the bird is sliced in two parts and the results are within 5% difference from the test data available in the literature, which is an improvement over the Lagrangian model. Conclusion: The developed SPH approach is suitable for bird-strike events within 10% error.
A new gradient based step size controlled inverse eigen sensitivity algorithm...Subhajit Mondal
The dynamic performance of any structure is extremely important from the safety, vibration serviceability and its operation point of view. Such behaviour is dependent mainly on the material properties and boundary stiffness parameters. For old infrastructural facilities in exposed environment, such parameters undergo substantial degradation from their initial values and are difficult to be assessed directly in operating conditions. These deteriorated parameters are estimated solving an inverse problem by correlating responses which can be easily measured with the responses obtained using finite element modeling and updating the initially assumed values of the parameters. The objective function, describing the differences in responses between the experimental and numerical models, is minimized iteratively to estimate the material and boundary stiffness parameters. The gradient based optimization methods are preferred due to their faster convergence from a set of initial guess points, but suffers mostly from lack of reliable methodology to select appropriate step sizes. Arbitrary selection of step sizes may sometimes work well, depending upon the judgment of the user, but is case specific. The present work describes the estimation of existing material properties and boundary stiffness of isotropic and orthotropic plates from measured frequencies and mode shapes using a new gradient based step size controlled inverse eigensensitivity algorithm. The method takes a strategy that the step sizes automatically become smaller when the change in gradient of objective function is having a high value and similarly, takes larger steps when the gradient is remaining fairly constants in subsequent iterations. The results obtained from the investigations are encouraging, as some convergences could be achieved by this new adaptive step size control only, whereas methods adopting arbitrary or no step size control diverged.
S. Rahesh conducted a study to optimize the use of plastic waste aggregates (PWAs) as a partial replacement for normal aggregates in concrete. Response surface methodology (RSM) and absolute volume method (AVM) were used to design mixes with up to 30% aggregate replacement by two types of PWAs. Results showed PWAs can be used to produce concrete with acceptable properties, with the highest compressive strength achieved at 0% replacement by one PWA type and 24% replacement by the other PWA type. This approach helps utilize plastic waste while maintaining good engineering properties in concrete.
The document summarizes a study on developing a new precast thin wall spread foundation called an IBS footing for use in low to moderate rise buildings using an Industrialized Building System approach. A parametric study using PLAXIS finite element software investigated the effect of wall length and thickness on the axial bearing capacity of different footing designs. The study found that increasing the wall length had a greater effect on bearing capacity than increasing the wall thickness. Based on the results, a new IBS footing design was proposed. Finite element analysis of the proposed footing using ABAQUS software determined that it could achieve a bearing capacity of 380 kPa for a 25 mm settlement, confirming its viability.
This document analyzes the nonlinear dynamic behavior of functionally graded micro-pipes conveying fluid using strain gradient theory. It develops mathematical formulations based on the Euler-Bernoulli beam model and von Kármán geometric nonlinearity. The properties of the functionally graded micro-pipes vary according to a power law distribution across the thickness. Hamilton's principle is used to obtain the differential equation of motion and boundary conditions for simply supported pipes. Galerkin's method expresses the governing equation as a Duffing equation. The homotopy analysis method is then used to determine explicit expressions for the nonlinear fundamental frequency for different fluid velocities and power law indices.
This document describes a multi-scale modeling study of the influence of porosity on the mechanical properties and fracture of Gilsocarbon graphite. The study used micro-cantilever tests to determine material properties at the microscale and developed a multi-scale model to predict properties at larger scales. The model accounted for the graphite's microstructure of matrix, filler particles, and pores. Simulation results showed decreasing mechanical properties with increasing porosity and that pore size distribution and particle-matrix interface strength significantly affect properties and crack propagation.
RESULTS OF FINITE ELEMENT ANALYSIS FOR INTERLAMINAR FRACTURE REINFORCED THERM...MSEJjournal1
The double cantilever beam (DCB) is widely used for fracture toughness testing and it has become popular
for opening-mode (mode I) delamination testing of laminated composites. Delamination is a crack that
forms between the adjacent plies of a composite laminate at the brittle polymer resin. This study was
conducted to emphasize the need for a better understanding of the DCB specimen of different fabric
reinforced systems (carbon fibers) with a thermoplastic matrix (EP, PEI), by using the extended finite
element method (X-FEM). It is well known that in fabric reinforced composites fracture mechanisms
include microcracking in front of the crack tip, fiber bridging and multiple cracking, and both contribute
considerably to the high interlaminar fracture toughness measured. That means, the interlaminar fracture
toughness of a composite is not controlled by a single material parameter, but is a result of a complex
interaction of resin, fiber and interface properties.
Bird-Strike Modeling Based on the Lagrangian Formulation Using LSDYNAdrboon
This document summarizes research on modeling bird-strike events using LS-DYNA's Lagrangian formulation. Key points:
- Bird-strikes pose safety risks and costs to the aviation industry, motivating efforts to model and predict damage through simulation.
- The bird is modeled as a fluid, and the Lagrangian method tracks material deformation. Initial validation involved a beam impact problem, with results within 2.5% of analytical solutions.
- Bird-strike events were divided into impacts on rigid and deformable plates at different angles, modeled after existing literature. Peak pressures and forces from simulations were within 10% of test data.
- The developed Lagrangian approach is suitable for modeling bird-strikes to predict
Estimating damping in structure made of different m aterials (steel,brass,aluminum) and processes sti ll remains as one of the biggest challengers. All mate rials posses certain amount of internal damping,wh ich manifested as dissipation of energy from the system . This energy in a vibratory system is either dissipated into heat or radiated away from the syst em. Material damping or internal damping contribute s to about 10-15% of total system damping. Cantilever beams of required size & shape are prepared for experimental purpose & damping ratio is investigate d. Damping ratio is determined by half-power bandwidth method. It is observed that damping ratio is higher for steel than brass than aluminum.
Comparative study of experimental and analytical results of frp strengthened ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IRJET- In-Situ Testing of Concrete Structures – A ReviewIRJET Journal
This document reviews various in-situ testing methods for concrete structures. It discusses common non-destructive testing (NDT) methods like rebound hammer testing and ultrasonic pulse velocity testing that can evaluate concrete strength and homogeneity. The document summarizes several studies that have investigated using these NDT methods to predict compressive concrete strength by correlating NDT results with destructive testing data. It concludes that while NDT methods are useful for assessing concrete properties, interpretation of test results can be difficult due to various factors affecting measurements.
Steve Jones presents "Development of Civil Engineering Design skills through active learning" at the University of Liverpool Learning and Teaching Conference 2009.
In 2008 the Department of Engineering launched the Liverpool Engineer initiative, which comprises an educational framework incorporating the principles of CDIO to develop multifaceted engineers ready to meet the professional needs of the 21st century. Active learning is at the core of the Liverpool Engineer learning and teaching philosophy. For Civil Engineering students the development of open minded design skills is fostered through a series of three Design-Build-Test projects, introduced in the first year of their academic studies. Students work in groups to develop a model cardboard bridge. The new Active Learning Laboratory was completed in 2008 and provides an ideal facility for these projects.
The structured progression of the bridge design projects allows students to explore the properties of tension and compression members fabricated from cardboard. Their findings are compared with member properties derived from computer structural analyses to allow them to develop a complete bridge structure with the specified factor of safety. The truss geometry and member properties of the first "Icebreaker" bridge are tightly constrained. For the second and third bridges the student groups have increasing freedom to develop their own concepts and structural solutions to the problem.
The presentation will focus on the student experience and some problems and pitfalls encountered with their understanding of structural behaviour.
This document outlines procedures for performing an unconfined compression test to determine the shear strength of cohesive soils. It describes the objectives of the test as measuring the shearing resistance and shear strength parameters (c and φ) of undisturbed or remolded cohesive soil specimens. The theory section explains that the unconfined compressive strength is the load per unit area at which a soil cylinder fails in compression and is used to calculate the soil's undrained shear strength as one half the unconfined compressive strength. The document provides details on required equipment, procedures for specimen preparation and testing, methods for data analysis and calculation of stress and strain, and conclusions regarding determination of unconfined compressive strength and undrained
The unconfined compression test is a type of unconsolidated-undrained test used for clay specimens. It involves compressing a cylindrical clay sample axially without lateral confinement. The major principal stress is the axial stress, while the minor principal stresses are zero. This allows measuring the unconfined compressive strength, sensitivity, shear strength parameters, and cohesion of cohesive soils. The test procedure involves extruding and trimming a soil specimen, measuring it, and compressing it at a controlled strain rate between loading plates while recording the load and stress. Parameters are calculated based on the failure load and specimen dimensions.
This document describes various special tests used to evaluate the cervical spine and shoulders. It provides the patient position, positive sign, clinical significance, and procedure for each test. Some of the tests described include Spurling's test and Jackson's test for the cervical spine, load and shift test and apprehension test for the shoulder, and supraspinatus test and drop arm test to assess the rotator cuff. The document serves as a reference for physical therapists and other clinicians to choose the appropriate orthopedic tests based on the patient's symptoms and medical history.
This document discusses image compression techniques. It begins by defining image compression as reducing the data required to represent a digital image. It then discusses why image compression is needed for storage, transmission and other applications. The document outlines different types of redundancies that can be exploited in compression, including spatial, temporal and psychovisual redundancies. It categorizes compression techniques as lossless or lossy and describes several algorithms for each type, including Huffman coding, LZW coding, DPCM, DCT and others. Key aspects like prediction, quantization, fidelity criteria and compression models are also summarized.
This document provides a major project synopsis presentation for an experimental and failure analysis of a CFRP-CFRP (carbon fiber reinforced plastic) single lap adhesive joint. The objectives are to fabricate single lap adhesive joint specimens with CFRP and Araldite AW106 adhesive, varying overlap length and adhesive thickness, and perform tensile testing and ANSYS analysis. The methodology involves a literature review, materials purchasing, specimen fabrication, testing, ANSYS analysis, results comparison, and conclusion. Dimensions, material properties, and validated ANSYS models are presented. The analysis shows maximum stresses at the overlap ends and agrees with reference results.
IRJET- A Review Paper on Mechanical Behavior and Engineering Applications of ...IRJET Journal
This document reviews research on the mechanical behavior and engineering applications of cellular structures. It summarizes 11 research papers that studied properties like modulus, strength, and Poisson's ratio of different cellular structures including honeycombs, auxetic structures, and chiral structures. Key findings include auxetic structures exhibiting better energy absorption and impact resistance than regular honeycombs. Applications discussed include auxetic fabrics for clothing and smart bandages. The document concludes more research is needed on nanoscale cellular structures and using biodegradable materials to produce them.
Utilization of steel in construction of high performance structures: A ReviewIRJET Journal
This document provides a literature review of research papers related to the analysis of steel structures using different alloys and metals in steel trusses. It summarizes several research papers that studied topics like cold-formed steel, steel beam-column connections, steel truss behavior, and comparisons of steel, concrete and cold-formed steel structures. The research papers used analytical and experimental methods to analyze structural behavior and load-carrying capacity. The results showed that cold-formed steel can provide economic and construction time benefits for buildings compared to other materials.
The document presents a study that uses deep convolutional neural networks (DCNNs) and digital microscope images to estimate the compressive strength of concrete. Three DCNN models - AlexNet, GoogLeNet, and ResNet - were trained on a dataset of microscope images of concrete specimens along with their experimentally determined compressive strengths. The ResNet model achieved the highest accuracy in estimating compressive strength, outperforming both AlexNet and GoogLeNet as well as a previous image processing-based artificial neural network model. The results indicate that DCNNs can utilize patterns in microscope images to effectively estimate concrete compressive strength in a nondestructive manner.
REVIEW STATIC AND DYNAMIC ANALYSIS OF A LAMINATED COMPOSITE BEAMIRJET Journal
This document summarizes research on analyzing the static and dynamic behavior of laminated composite beams. It reviews literature on analyzing composite beams through finite element analysis to study the effects of fiber orientation, stacking sequence, and other parameters on the beam's deflections, stresses, and natural frequencies. The document outlines research conducting both numerical simulations and experimental tests on composite beams to model their vibration characteristics. It surveys various studies that use finite element modeling to investigate behaviors like buckling, cracking, and delamination in composite beams made of materials like glass fiber reinforced polymers.
Comparative Analysis of Composite Materials based on Stress and Vibration by ...IRJET Journal
This document summarizes research on comparing the stress and vibration characteristics of different composite materials through experimental analysis. Specifically, it analyzes the natural frequency and mode shapes of cantilever beams made of steel, E-glass epoxy, and fiber reinforced plastic (FRP) composites using a fast Fourier transformer analyzer and stress testing with a universal testing machine. The study found that E-glass epoxy composite material performed better than steel and FRP materials with higher natural frequencies and was better able to withstand stresses. The behavior of vibrating structures obtained through experimental modal analysis can be used to validate results from finite element modeling of mode shapes.
IRJET- A Review - Optimization of Castellated Beam with StiffenerIRJET Journal
This document provides a literature review on optimization of castellated beams with stiffeners. It discusses previous research that has studied the behavior and failure modes of castellated beams through experimental testing and finite element analysis. The review found that existing design codes provide empirical formulas for castellated beams but the complex behavior is not fully understood. The objective of the current study is to define the behavior of castellated beams with stiffeners and optimize the stiffener location, size, and thickness to improve performance.
Nondestructive material testing with ultrasonicsFatma Abdalla
Ultrasonic pulse velocity (UPV) testing is a non-destructive testing method used to evaluate the quality and strength of concrete structures. UPV works by measuring the speed that ultrasonic pulses travel through the concrete, with higher velocities indicating higher quality concrete of greater density, homogeneity, and strength. The document describes experiments conducted to determine the relationship between UPV test results and compressive concrete strength for samples with varying water-cement ratios. UPV and compressive strength tests were performed on concrete samples at different ages. The results showed that UPV and strength increase with age and samples with lower water-cement ratios have higher UPV and strength. Correlation curves were developed to allow predicting concrete strength from
Characterization of Differential Concrete Mix Designs by Ultrasonic Pulse Vel...IRJET Journal
This document summarizes a study that characterized different concrete mix designs using ultrasonic pulse velocity testing. Six mix designs were tested with varying water-cement ratios, slump, and compressive strengths. Concrete cubes were cast and tested for ultrasonic pulse velocity and compressive strength at various ages. The objectives were to examine how drying conditions and mix properties influence ultrasonic pulse velocity results, determine the relationship between velocity and compressive strength, and develop charts relating non-destructive test results to mix designs. Results aimed to improve accuracy of using non-destructive methods to evaluate concrete strength.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document reviews several studies that analyzed bolted joints in composite laminates. It discusses how clamping force and laminate stacking sequence can affect failure mechanisms and strength. The review examines both experimental and modeling/simulation approaches. Studies investigated topics like bearing strength, fatigue characteristics, stress distributions, and the effects of parameters like bolt-hole clearance and clamping loads. Overall, the review indicates that while modeling techniques have improved understanding, further work is still needed to optimize bolted joint design given composites' brittle failure modes.
This document summarizes the key activities and findings from the author's Master's research project on modeling the deformation of glass reinforced plastic pipes during pipejacking installations. The author conducted a literature review, developed finite element models in ANSYS to simulate pipe deformation under jacking forces, validated the models using field data, and performed a sensitivity analysis. The numerical models matched field data most accurately when including a fixed support at the back of the pipe. The research helped improve understanding of structural performance and identify that higher jacking forces could be used without exceeding deformation limits. The author communicated results through meetings, presentations, and co-authoring a journal paper.
Sensor Placement based on FE Modal Analysis: Dynamic Characteristic of Cable ...IRJET Journal
This document summarizes a study that used finite element analysis to determine sensor placement locations for structural health monitoring of the Penang (I) cable-stayed bridge in Malaysia. The researchers created a 3D finite element model of the bridge and performed modal analysis to determine its natural frequencies and vibration modes under dead load conditions. They identified critical grid points on the bridge members that experienced high stresses due to vibration. They proposed 66 sensor placement locations corresponding to these grid points, including locations at the end side spans, towers, main span, and stay cables. The sensor locations were aimed at monitoring the dynamic behavior and structural health of the bridge.
This document presents a numerical analysis of pre-cast reinforced concrete dapped end beams using finite element modeling. A two-dimensional finite element model was created using ABAQUS software to study the behavior of dapped end beams under static loading. The model used concrete damaged plasticity and embedded truss elements to model the concrete and reinforcing steel. The behavior of the modeled beams was validated by comparing results to previous experimental studies. The finite element analysis found good agreement with test data, indicating it can accurately model the load-deflection behavior of dapped end beams.
IRJET- Use of Non Destructive Techniques to Analyze Fresh and Hardened State ...IRJET Journal
This document summarizes a study that used non-destructive techniques to analyze the properties of fresh and hardened concrete. Specifically, it used electrical methods to characterize the early-age behavior and setting of fresh concrete mixtures. It also used a combination of ultrasonic testing and AC impedance spectroscopy to analyze the distribution and orientation of fibers in hardened concrete beams. The results showed that the electrical methods could detect the influence of admixtures on setting time. AC impedance spectroscopy effectively characterized fiber orientation in beams and found preferential alignment in the direction of concrete flow. However, ultrasonic testing was not sensitive enough to detect fiber orientation differences at low fiber volumes below 1%.
Review on analytical study on strengthening of beam by frpeSAT Journals
Abstract
This paper present the review of analytical and numerical study of flexural and shear performance of retrofitted or strengthening
of beam by fibre reinforced polymer (FRP). Now a day investigator prefer numerical and analytical study to minimize error which
can’t reduce in experimental study, hence numerical study is more reliable than experimental study and analytical study less time
consuming then experimental still having good agreement with experimental study.Almost all the software available in market are
work based on finite element method (FEM) such as ANSYS, ATENA 3D and ABAQUS. Analytical study carried out by different
author using FEM basedsoftware they found ultimate capacity of beam increased noticeably.Analytical investigation of reinforced
concrete (RC) beam with FRP were carried out by number of investigator they all studied on different aspect, some of those
worked on single layer or double layer of FRP , some of those worked on different pattern and thickness of FRP and then
compared stress, strain and deflection with control specimen. For precise result by finite element method use fine mashing and
appropriate material property. Bond behaviour between steel-concrete and concrete-FRP sheets/plate must be specify for
accurate and realistic results.
Keywords: retrofitting of beam, strengthening of beam, GFRP, CFRP, Finite Element Method (FEM), ANSYS
Experimental Determination of Fracture Energy by RILEM Methodtheijes
This paper deals with investigation of fracture energy (GF) of concrete. The study involves experimental determination of fracture energy (GF) by testing three point bend concrete beams of same size but varying notch to depth ratios. RILEM fracture energy (GF) and Stress Intensity factor values is determined
The document discusses using a machine learning algorithm called Multi Expression Programming (MEP) to develop a computational model for predicting the compressive strength of carbon fiber-reinforced polymer (CFRP) confined concrete. The model will be based on an extensive database of 828 experimental specimens, incorporating parameters like specimen diameter, height, unconfined concrete strength, CFRP layer thickness, and elastic modulus. MEP is described as an advanced evolutionary algorithm that can accurately model problems with unspecified complexities better than other techniques. The validation and performance of the proposed MEP model will be assessed by comparing predictions to experimental data and other existing strength models.
Finite Element Modeling of a Multi-Storeyed Retrofitted Reinforced Concrete F...IOSR Journals
In the present study, the non-linear response of RC frame using FE modeling under the incremental
loading has been carried out in the first phase of analysis to study the response and load-carrying capacity of a
four storeyed RC frame using non-linear finite element analysis. In the second phase of study an analysis model
for retrofitted RC frame using finite element method using software ATENA is presented. The results obtained
from FE analysis in both cases are compared with the experimental data for four storeyed RC frame tested by
BARC at CPRI. The results from finite element analysis were calculated at the same location as used in
experimental test. The accuracy of the finite element model is assessed by the comparison with experimental
results which are to be in good agreement. The base shear/ displacement curves from finite element analysis
agree well with the experimental results in linear range. The maximum difference in base shear is observed to
be 7.9%
The document summarizes research on using the Dynamic Cone Penetrometer (DCP) to characterize subsurface soil and pavement material strengths in situ. Key points:
- The DCP is an inexpensive and simple device used to measure soil/material strength by recording penetration depth of a cone tip with each drop of an 8kg hammer from 575mm.
- Testing generates a continuous profile of penetration resistance that can be correlated to parameters like CBR, strength, and modulus.
- Researchers in Minnesota have been using the DCP to evaluate pavement structures, embankments, and base material, finding it a useful supplement to traditional testing.
PREDICTION OF PUNCHING SHEAR STRENGTH USING METAHEURISTIC APPROACH OF OPTIMIZ...adeij1
The relationship between technology and application of civil engineering is not a new concept.
Over the years civil engineering has encountered a slew of issues, most of them have been
solved with the aid of technology. Prediction of punching shear strength is one such problem
statement which could be solved using a metaheuristic approach of optimization. Numerous
experiments on the punching shear resistance of reinforced concrete slabs have been conducted
by researchers, with positive findings. The actual service life will be shortened due to steel bars’
propensity for corrosion. The main goals of all organizations are to make civil engineering
applications more valuable intrinsically so that people can use them to construct faster so that
resources are used more effectively, and to ultimately improve people’s lives. Using
evolutionary artificial neural networks, internal flat slabs of reinforced concrete can be
predicted for their punching shear strength. It is a hybrid model of an artificial neural network
(ANN) and a Genetic algorithm, a metaheuristic based on natural selection that is a subset of
the larger category of evolutionary algorithms (EA). The experimental findings from 519 flat
slabs tested by various authors starting in 1938 were used in this research. The model tries to
predict the dependent feature, Punching shear resistance, using independent features such as
Shape of the column cross section, Column side or smaller side, Larger side of the column,
Average effective depth in X and Y directions, Average reinforcement ratio in X and Y
directions, Column effective width, Effective width / Effective depth, Concrete compressive
strength, and Steel yield strength. Sometimes, signals are altered at the receiving synapses, and
the processing element adds the weighted inputs. Input from one neuron is sent to another (or
output is sent to the outside world) if it reaches the threshold, and the cycle continues. The
algorithm builds the subsequent population at each stage using members of the current
generation. By using Selection, Crossover and Mutation, we can obtain a set of optimal
parameters that aid in producing effective results. We also contrasted the accuracy attained
using GA with other popularly employed optimizer types like SGD, ADAM and RMSProp. We
have also made use of the benefits of the GA algorithm, such as its adaptability, understanding
ability, and lack of computational complexity.
Similar to DLSU Research Congress 2014 - Civil Engineering Abstracts (20)
This document contains 20 Star Wars jokes, with each joke presented on its own line preceded by "EPISODE #". The jokes poke fun at characters and elements from the Star Wars universe through puns and plays on words.
1) Andy is preparing for his first day of online classes by putting on a funny face and mustache for his computer camera.
2) The document emphasizes the importance of how students present themselves visually during online classes and providing engaging content to hold students' attention.
3) Some of the challenges discussed with online teaching include distractions in the home environment, keeping students engaged, and managing emotions when technology fails.
The comic summarizes the sixth week of the "Eric & Andy Stupidity Quiz" pandemic special series. It features five statements or actions from public figures that are presented as quiz questions to test readers' ability to identify "stupidity." Eric and Andy note they have posted 25 quizzes so far and ask fans for more suggestions. They also announce this will be the last week and encourage readers to vote in a poll to name the "Smart Awardee of Week #6." The duo then say they have completed 30 days of quizzes and it is time to "Go Smart" with their next project.
The document is a comic strip by Eric & Andy presenting their "Stupidity Quiz" series during the COVID-19 pandemic. It aims to increase awareness of current events through humor and challenging readers' critical thinking. This week's quiz features quotes from public figures and asks readers to identify "stupid" comments and actions. It also humorously depicts the characters discussing past and potential future guests for their quiz. In the end, readers are prompted to vote for the "Smart Awardee of Week #5."
This comic presents the fourth issue of "Eric & Andy's Stupidity Quiz", which aims to increase awareness of current events in the Philippines during the COVID-19 pandemic through humor and challenging readers' critical thinking. It features public figures' statements and actions that impact the public, along with a related "Stupidity Quiz" to lighten the issue. This issue includes quizzes about the use of PhilHealth funds, who should manage the "Memorial Park", ways to improve mental health using synthetic white sand, and the PNP's favorite social media platform. It also announces a vote for the "Smartest Awardee of Week #4".
This comic strip presents the third installment of the "Eric & Andy Stupidity Quiz", which aims to increase awareness of current events in the Philippines during the COVID-19 pandemic through humor. It features quotes and actions from public figures that have impacted the pandemic response, and presents a "stupidity quiz" with questions related to each issue to challenge critical thinking. This week's quiz includes questions poking fun at statements about disinfecting with gasoline, hitting the "beerus" coronavirus, revolution, the Russian Sputnik V vaccine, and the location of Malacañang Palace.
This comic strip presents the second issue of the "Eric & Andy Stupidity Quiz", which aims to increase awareness of current events in the Philippines during the COVID-19 pandemic through humor and challenging readers' critical thinking. This issue features quotes from public figures and poses related quiz questions to test if readers can identify "stupidity". It reveals that the winners from the previous week's quiz were statements from Senators Bong Go and Bato dela Rosa, which tied for the most "stupid". The comic teases that next week will have an exclusive guest with uniquely smart ideas.
This document presents the introduction to a weekly comic series called "Eric & Andy's Stupidity Quiz" which aims to increase awareness of current events in the Philippines during the COVID-19 pandemic through humor. It features public figures and their statements on issues related to the pandemic. Each issue presents a question about the statement or issue in a "Stupidity Quiz" to challenge critical thinking. This first issue features a quiz about a politician not properly wearing a face mask and the answers of the characters Eric and Andy to the quiz questions. It encourages readers to think about the issues and announces the guest for the next issue will be either human or animal.
The Philippine Group of IABSE, in support to IABSE’s 90th Founding Anniversary, conducted an Information Forum on “Outstanding featured IABSE’s OSTRA awardees and finalists with highlights on the innovations and significance of each bridge and building structure. Learning lessons from IABSE OStrA awardees & finalists for the most remarkable, innovative, creative & stimulating structures
The document summarizes a father's experience cooking 21 main dishes in 60 days while his wife was away for two months. He rated most dishes a "5" but gave a "4" to giniling and paksiw dishes, as his son does not enjoy vegetables or certain meats. In addition to the main dishes, he also prepared simple fried or heated ready-to-eat foods like tocino, longganiza, hot dogs and noodles.
The document outlines 12 discoveries about The Netherlands, including visiting iconic windmills in Kinderdijk that remind visitors of Don Quixote, enjoying Dutch breakfast foods like hagelslag and stroopwaffles, exploring Amsterdam by canal tour, learning about famous painter Vincent Van Gogh at his museum, and seeing street performers in Dam Square. Bicycles are very popular transportation in The Netherlands, with dedicated bike lanes. Rotterdam features modern, unique architecture. The Dutch constructed Neeltje Jans island to protect against floods. Jazz music is beloved in The Netherlands, with festivals like Breda Jazz. Cannabis products are sold in various forms in Amsterdam's coffee shops. While trains are comfortable, they can
This slide presentation is based on the book, De La Salle, CEO by Napoleon G. Almonte. Ten corporate leadership principles that the modern world can learn from the life of St. Lasalle are presented.
The document summarizes the Paskuhan sa Don Bosco Calauan event held on December 29, 2016. It describes the preparation of grocery bags for families, including basic contents. It lists activities that took place such as an opening message, choir performance, games organized by volunteers, singing, spelling games, dancing. Lunch and grocery bags were distributed to 100 kids and unused donations equivalent to 68 kids were given to Salesians of Don Bosco Calauan. The organizers and donors who supported the event are thanked.
NUAL - Philippine Branch New Year's General Assembly 2016andyoreta
Members of the Nagoya University Alumni Association - Philippine Branch held their New Year's General Assembly last Jan. 23, 2016 at Legend Villas, Mandaluyong City.
Paskuhan sa Don Bosco Calauan - 29 Dec 2015andyoreta
An outreach program for 100 kids at Don Bosco Calauan held last Dec 29, 2015 organized by the Friends of Fr. Boy Pablo, SDB - DBA Pampanga Alumni, OPAPP Policy Office, UP Engg AISC'83 and anonymous donors. Spearheaded by Andy & Apple Oreta and Alexis Pineda.
The document summarizes Don Bosco Calauan's efforts to help informal settlers displaced by typhoons through various livelihood and community development programs. Over 6,400 families now live in the 107-hectare resettlement site, with the population projected to reach 50,000-80,000 people. Don Bosco has established several small businesses like construction, farming, shoe-making and food stalls to generate jobs and income. They have also set up an aquaponics system and converted fallen trees and container vans into useful items to support the community. Don Bosco envisions empowering the residents to become a sustainable community within 3-5 years through these various social and economic initiatives.
Eric and Andy, known as the Dynamic Duo, are presenting a show called "The Naked Truth" which is number 24 in their series. The show is being put on by Eric & Andy, two performers called the Dynamic Duo, and is titled "The Naked Truth".
Eric and Andy, known as the Dynamic Duo, are presenting a show called "Pet Lovers" which is number 22 in their series. The show focuses on pet care and features tips for caring for common household pets.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
2. An Artificial Neural Network Approach to
Structural Cost Estimation of Building
Projects in the Philippines
Roxas, Cheryl Lyne C. and Ongpeng, Jason Maximino
Abstract: The objective of this study is to develop an artificial neural network
(ANN) model that can predict the total structural cost of building projects in the
Philippines. Data from thirty building projects were collected and randomly
divided into threesets: 60% for training, 20% for validating the performance
and 20% as a completely independent test of network generalization. Six input
parameters, namely: number of storeys, number of basements, floor area,
volume of concrete, area of formworks, and weight of reinforcing steel. These
variables were entered into the ANN architecture and simulated in MATLAB.
The feedforward b ackpropagation technique was used to generate the best
model for the total structural cost. The best ANN architecture consists of six
input variables, seven nodes in the hidden layer and one output node. The
resulting ANN model also reasonably predicted the total structural cost of
building projects with favourable training and testing phase outcomes.
Parallel Session on Sustainability, Environment & Energy
3. A Study on the Applicability of Replacing
GI Wires with Plastic Cablein Structural
Members
Nevin Y. Balibrea, Louie Mart M. Montrias, Gregorio S. Uymatiao
III Kelvin Gerard N. Yao and Dr. Bernardo A. Lejano
Abstract: This study aims to investigate the possibility of replacing GI wire
with commercial plastic cable ties and evaluate its effect on the structural
integrity of a reinforced concrete member. The two major factors that shall be
focused in this study is the overall strength of the structural member and the
time consumed to tie steel bars using both tie materials. A reinforced
concrete column was also tested based on the Standard Compression Test
(ASTM C39) to assess the effect of using plastic cable as tie wire. From
these tests, the researchers determined that although the strength of the
plastic cable is slightly weaker than that of the GI wire in the modified pullout test, the resulting strength from the compression test of the reinforced
concrete column samples is still higher than the requirement stipulated in the
2010 NSCP. As for the tying speed of an amateur worker, thetime used for
tying with plastic cable is almost one-third only of that of the GI wire.
Parallel Session on Sustainability, Environment & Energy
4. Investigation of the Strength of ColdFormed Steel C-Section in Compression
Arvin Patrick Yu and Dr. Bernardo A. Lejano
Abstract: The objective of this study is to verify experimentally and
computationally the performance of C-shaped Cold-Formed Steel (CFS)
when subjected to concentric axial compression load considering buckling.
The experimental aspect subjects the CFS members with compressive
loads using hydraulic jacks and load cell. For the computational aspect,
provisions found in the NSCP were used to determine the strength in
compression of the members based on the actual dimensions, thicknesses
and lengths of the member together with the material properties of the steel.
This was done to a total of 126 samples with 1 section shape, 6 different
lengths and 5 different thicknesses. It was found that the strength
calculations for both distortional buckling failure and torsionalflexuralbuckling failure given by the NSCP provisions were not consistent
with the results of the compression tests. For shorter lengths, distortional
buckling prevailed as the main failure while for longer lengths, torsionalflexural buckling occurred. All of the predicted strength were highly
conservative and well below the experimental value.
Parallel Session on Sustainability, Environment & Energy
5. Application of Response Surface
Methodology:Optimum Mix Design of
Concrete with Slag as Coarse Aggregate
Rhea Regulacion and Dr. Andres Winston Oreta
Abstract: To determine the mix design that will yield the optimum
compressive concrete strength, response surface methodology (RSM) is
explored in this study. RSM is an optimization tool that interprets
experimental results even in a non-linear response surface manner. RSM
was used on the data obtained from laboratory experiments conducted by
the researchers. The experiments conducted include the influencing factors:
slag percentage (50%, 75%, and 100%), curing period (14 days, 21 days,
and 28 days), and types of cement (1P, I, and IP), and the interaction effects
of these factors in compressive strength test are analyzed in this paper
through response surface methodology. The responses of each specimen
have showed significant increase in attained strength with respect to the
control specimens.
Parallel Session on Sustainability, Environment & Energy
6. Outcomes-Based Assessment of a
Basic Engineering Course
(Statics of Rigid Bodies)
Dr. Andres Winston C. Oreta and Cheryl Lyne C. Roxas
Abstract: This paper presents the implementation of the Outcomes-Based
Education (OBE) framework in a basic undergraduate engineering course –
Engineering Mechanics (Statics of Rigid Bodies), from syllabus design to
course assessment. The revision of the syllabus using the OBE format was
carried-out and outcomes-based assessment is conducted to determine if
the intended learning outcomes for this course using the revised syllabus
are achieved. Two types of assessment methods were applied: direct and
indirect methods to assess the attainment of the course learning outcomes.
The direct method used the scores in the quizzes and final exams. The
indirect method using an end-of-course evaluation by the faculty and
students to determine the perception on the achievement of outcomes.
Based on the outcomes-based assessment using direct methods, the
achievement of the learning outcomes is barely satisfactory and a review
of the course syllabus and teaching and learning activities is recommended.
Symposium on Scholarship & Innovation in Teaching & Learning (SILT)
7. Mode Choice and Value of Time of InterIsland Travellers: The Case of the
Philippines
Krister Ian Daniel Z. Roquel and Dr. Alexis M. Fillone
Abstract: This study covers the development of logit choice models, based
on revealed preferences of the traveling population across the PanayNegros islands. It was found that the travel mode characteristics like travel
time, cost, comfort as well socio-demographic information like age and
income, were significant in travel decision. The average value of travel time
savings was computed to be at Php 87.89 / hour ($ 2.04 / hour).
Furthermore, estimated value of time of different groups based on travel
frequency, day of travel, gender, civil status, income class, and trip purpose
were also determined. These values can be used in feasibility analysis of
various transport infrastructures that may be introduced to the network.
Graduate Students Colloquia