Static cone penetration test (CPT) is a broadly satisfactory and dependable geotechnical in-situ apparatus that gives brisk and honest substantial measure of data about soil classification, stratification and properties. Un-drained shear strength of clay (cu) is one of the principle soil parameters that could be sensibly evaluated from the (CPT) results, as it is specifically connected to the tip resistance through the experimental cone factor (Nk). Earlier researches showed that (Nk) value depends on type of soil, nature and stress history conditions and many other variables. Construction development in some locations with thick deposits of soft to very soft clays motivates extensive researches to define the reasonable value of the (Nk) factor for such types of clay. The performed study concentrated on utilizing the genetic programming technique (GP) to predict (Nk) value of clay using the consistency limits that can be easily determined in the laboratory. A set of 102 records were gathered from the CPT site investigations and corresponding consistency limits and other physical properties experiments, were divided into training set of 72 records and validation set of 30 records. Both (GN7) & (MEPX) software were used to apply (GP) on the available data. Four trials for each software with different chromosome lengths were performed to correlate the (Nk) factor with the clay consistency limits, water content (wc) and unit weight (γ) using training data set, then, the produced relations were tested using the validation data set. The four generated formulas using (GN7) showed accuracies ranging between 93% and 97% and coefficient of determination (R2) ranging between 0.7 and 0.9, while the other four formulas form (MEPX) showed accuracy not exceeding 95% and coefficient of determination (R2) ranging between 0.45 and 0.75.
Prediction of scour depth at bridge abutments in cohesive bed using gene expr...Mohd Danish
The scour modelling in cohesive beds is relatively more complex than that in sandy beds and
thus there is limited number of studies available on local scour at bridge abutments on cohesive
sediment. Recently, a good progress has been made in the development of data-driven techniques
based on artificial intelligence (AI). It has been reported that AI-based inductive modelling
techniques are frequently used to model complex process due to their powerful and non-linear model
structures and their increased capabilities to capture the cause and effect relationship of such
complex processes. Gene Expression Programming (GEP) is one of the AI techniques that have
emerged as a powerful tool in modelling complex phenomenon into simpler chromosomal
architecture. This technique has been proved to be more accurate and much simpler than other AI
tools. In the present study, an attempt has been made to implement GEP for the development of
scour depth prediction model at bridge abutments in cohesive sediments using laboratory data
available in literature. The present study reveals that the performance of GEP is better than nonlinear
regression model for the prediction of scour depth at abutments in cohesive beds.
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.
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.
Scour prediction at bridge piers in cohesive bed using gene expression progra...Mohd Danish
Accurate and reliable estimation of the scour depth at a bridge pier is essential for the safe and economical design of the bridge
foundation. The phenomenon of scour at the pier placed on sediments is extremely complex in nature. Only a limited number of
studies have been reported on local scour around bridge piers in cohesive sediment mainly due to the fact that scour modeling in
cohesive beds is relatively more complex than that in sandy beds. Recent research has made good progress in the development of
data-driven technique based on artificial intelligence (AI). It has been reported that AI-based inductive modeling techniques are
frequently used to model complex process due to their powerful and non-linear model structures and their increased capabilities
to capture the cause and effect relationship of such complex processes. Gene Expression Programming (GEP) is one of the AI
techniques that have emerged as a powerful tool in modeling complex phenomenon into simpler chromosomal architecture. This
technique has been proved to be more accurate and much simpler than other AI tools. In the present study, an attempt has been
made to implement GEP for the development of scour depth prediction model at bridge piers in cohesive sediments using
laboratory data available in literature. The present study reveals that the performance of GEP is better than nonlinear regression
model for the prediction of scour depth at piers in cohesive beds
Prediction of scour depth at bridge abutments in cohesive bed using gene expr...Mohd Danish
The scour modelling in cohesive beds is relatively more complex than that in sandy beds and
thus there is limited number of studies available on local scour at bridge abutments on cohesive
sediment. Recently, a good progress has been made in the development of data-driven techniques
based on artificial intelligence (AI). It has been reported that AI-based inductive modelling
techniques are frequently used to model complex process due to their powerful and non-linear model
structures and their increased capabilities to capture the cause and effect relationship of such
complex processes. Gene Expression Programming (GEP) is one of the AI techniques that have
emerged as a powerful tool in modelling complex phenomenon into simpler chromosomal
architecture. This technique has been proved to be more accurate and much simpler than other AI
tools. In the present study, an attempt has been made to implement GEP for the development of
scour depth prediction model at bridge abutments in cohesive sediments using laboratory data
available in literature. The present study reveals that the performance of GEP is better than nonlinear
regression model for the prediction of scour depth at abutments in cohesive beds.
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.
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.
Scour prediction at bridge piers in cohesive bed using gene expression progra...Mohd Danish
Accurate and reliable estimation of the scour depth at a bridge pier is essential for the safe and economical design of the bridge
foundation. The phenomenon of scour at the pier placed on sediments is extremely complex in nature. Only a limited number of
studies have been reported on local scour around bridge piers in cohesive sediment mainly due to the fact that scour modeling in
cohesive beds is relatively more complex than that in sandy beds. Recent research has made good progress in the development of
data-driven technique based on artificial intelligence (AI). It has been reported that AI-based inductive modeling techniques are
frequently used to model complex process due to their powerful and non-linear model structures and their increased capabilities
to capture the cause and effect relationship of such complex processes. Gene Expression Programming (GEP) is one of the AI
techniques that have emerged as a powerful tool in modeling complex phenomenon into simpler chromosomal architecture. This
technique has been proved to be more accurate and much simpler than other AI tools. In the present study, an attempt has been
made to implement GEP for the development of scour depth prediction model at bridge piers in cohesive sediments using
laboratory data available in literature. The present study reveals that the performance of GEP is better than nonlinear regression
model for the prediction of scour depth at piers in cohesive beds
Changes in dam break hydrodynamic modelling practice - Suter et alStephen Flood
Abstract: Today, many organisations rely on hydrodynamic modelling to assess the consequences of dam break failure on downstream populations and infrastructure. The availability of finite volume shock-capturing schemes and flexible mesh schematisations in widely used software platforms imply that dam break modelling projects will be carried out differently in the future: Finite volume based platforms allow widespread application of shock-capturing methods and flexible mesh platforms can represent features in the study area more realistically and are more flexible thanks to varying mesh resolutions. Furthermore, the recent adoption of Graphics Processing Unit (GPU) technology in mainstream scientific and engineering computing will also significantly decrease computation times at relatively low cost.
This paper examines the application of finite volume, flexible mesh and GPU technologies to dam break modelling. One-dimensional (1D) modelling results are compared to those from two-dimensional (2D) finite difference and finite volume approaches. The results demonstrate that there are differences between modelling approaches and that the computational speeds of 2D simulations can be significantly reduced by the use of GPU processors.
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.
NEURAL NETWORK ASSISTED CONCRETE MIX DESIGN WITH AND WITHOUT MINERAL ADMIXTUREAbdulRazakBH
This paper presents a novel method of predicting concrete mix parameters using design charts developed
as per IS 10262:2009 codal provisions and these results are compared with Artificial Neural Network
(ANN) predicted values for the concrete mixes, designed with and without partial replacement of cement
with Fly ash. The concrete grades selected for preparing design charts are M20, M25, M30, M35, M40 and
M45 and an application of ANN is made to design concrete mix for grades M40 and M45 with and without
partial replacement of cement with Fly ash. 30% of Cement replacement with Fly ash is considered and
the type of concrete for placing is pumpable concrete. Both the design charts and Neural network is used
to predict the quantities of cement, Fly ash, water, water cement ratio, coarse aggregates, fine aggregates,
chemical admixture & minimum cement content and maximum water cement ratio for various exposure
conditions. Six inputs namely the grade of concrete, required slump, maximum size of aggregates, type of
aggregates, zone of sand and exposure conditions are used for the neural net. A five layer neural network
predicted values are in error range of 0.5% to 6%.
Key words: ANN, Coarse aggregates, Concrete mix design, Fine aggregates, Fly ash, W/C.
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.
Waste concrete is one of the most usable and economic kind of concrete which is used in many civil projects all around the world, and its importance is undeniable. Also, the explanation of constructional process and destruction of them cause the extensive growth of irreversible waste to the industry cycle, which can be as one of the main damaging factors to the economy. In this investigation, with using of constructional waste included concrete waste, brick, ceramic and tile and stone new aggregate was made. Also it was used with different weight ratios of cement in the mix design. The results of laboratory studies showed that the using of the ratio of sand to cement 1 and waste aggregate with 20% weight ratio (W20), replacing of normal aggregate, increased the 28 days compressive strength to the maximum stage 45.23 MPa. In the next stage, in order to develop the experimental results backpropagation neural network was used. This network with about 91% regression, 0.24 error, and 1.41 seconds, is a proper method for estimating results.
This paper relates the best practices in Log preprocessing in Petrophysics which
are necessary to have a good model for Facies and Permeability. The well-logs which
were used for the Electrofacies modeling and permeability modeling consist of
Gamma-Ray(GR), Bulk Density Porosity(RHOB) Neutron porosity(NPHI).
Meanwhile, the model distinct type of facies consists of sand, Shaly sand, and shale.
Precise Electrofacies sorting was accomplished by the Multi-Resolution Graph-based
Clustering (MRGC). The improvement in the Logs from the Well-X1 after undergoing
pre-processing like Log Normalization, Compaction Effect Removal, Fluid Effect
Removal returned the logs to their natural states and were used as input into Multi-
Resolution Graph-based Clustering (MRGC) model to produce better output Facies
and Permeability when compared to the Output which did not undergo preprocessing.
These practices can be utilized to validate very good Facies and
Permeability Models
"A full experimental and numerical modelling of the practicability of thin fo...Mehran Naghizadeh
Paper entitled "A full experimental and numerical modelling of the practicability of thin foam barrier as vibration reduction measure" published by Soil Dynamics and Earthquake Engineering (2020).
STRESSES BELOW EXISTING STRUCTURES DURING TUNNEL EXCAVATION USING TUNNEL BORI...ijiert bestjournal
The Finite element (FE) analysis include the response of structures t o horizontal & vertical dynamic forces and consider all site characteristics,such as soils and geologic conditions. The induced stresses under the foundation of adjacent buildings during newly constructed underground tunnel through TBM,were investigated in this study. Results of this study were examined to find out whether the amount of variations in forces and stresses are in the allowable ranges or not. In this paper,soil parameters used for the study are based on the existing Delhi Metro tunnel site. Using these soils parameters,tunnel excavation through TBM has been modelled in PLAXIS Tunnel - 3D and the adjacent structures have also been included in the model.
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.
The deposition of the flow of suspended particles has always been a problematic case in the process of flow transmission through sewers. Deposition of suspended materials decreases transmitting capacity. Therefore, it is necessary to have a method capable of precisely evaluating the flow velocity in order to prevent deposition. In this paper, using Gene-Expression Programming, a model is presented which properly predicts sediment transport in the sewer. In order to present Gene-Expression Programming model, firstly parameters which are effective on velocity are surveyed and considering every of them, six different models are presented. Among the presented models the best is being selected. The results show that using verification criteria, the presented model presents the results as Root Mean Squared Error, RMSE=0.12 and Mean Average Percentage Error, MAPE=2.56 for train and RMSE=0.14 and MAPE=2.82 for verification. Also, the model presented in this study was compared with the other existing sediment transport equations which were obtained using nonlinear regression analysis.
Drilling rate prediction using bourgoyne and young model associated with gene...Avinash B
Bourgoyne and Young model (BYM) has been the dominant
method for drilling rate prediction. It demonstrates a relation
between drilling rate and the parameters affecting it. There are
eight variables influencing the drilling rate, and they depend on
ground formation type and must be determined based on the data
gathered in advance. Bourgoyne and Young proposed multiple
regression method for determining the unknown coefficients,
albeit, this method has the shortcoming that may lead to an
outcome, which doesn’t make sense physically in some
circumstances. To dissolve this flaw, some new mathematical
methods have been introduced, but utilizing these methods will
confront us with a loss in the accuracy of drilling rate prediction.
Our proposed method solves the two above mentioned
deficiencies, physically meaningless coefficients, and the decrease
in accuracy. In our method, we have employed Genetic algorithm
(GA) to determine the unknown parameters of BYM. Our
practical data sets were nine wells of “Khangiran” Iranian gas
field. Simulation results do prove the efficiency of our new
method for determining constant coefficients of Bourgoyne and
Young model over the previous ones.
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.
Structural evaluation of low volume road pavements using pavement dynamic con...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
Structural evaluation of low volume road pavements using pavement dynamic con...eSAT Journals
Abstract
Static and dynamic cone penetration tests are widely used in Foundation engineering for measuring the penetration resistance of the
ground and for relating it to the degree of compaction and safe bearing capacity of soils. In Highway Engineering, Pavement
Dynamic Cone Penetrometer (DCP) is used for rapid in-situ strength evaluation of subgrade and other unbound pavement layers. In
the present studies, an attempt has been made to identify the strength and thickness of different pavement layers of newly constructed
low volume roads in the State of Karnataka, India using dynamic cone penetration studies and was compared with actual
measurements at the site. The evaluation of pavement test stretches was made for a period of two years, and changes in penetration
resistance of different pavement layers were measured. A Software was used to analyze the DCP data and to correlate with field
observation. The results have favoured the possibility of using dynamic cone penetrometer as a quality control and pavement
monitoring tool for low volume roads, eliminating the need for a Benkelman beam or a falling weight deflectometer.
Keywords: Pavement Dynamic Cone Penetrometer, CBR, Subgrade, Rural roads
Prediction of soil liquefaction using genetic programmingAhmed Ebid
DOI: 10.13140/2.1.2034.4644
In most geotechnical problems, it is too difficult to predict soil and structural behavior accurately, because of the large variation in soil parameters and the assumptions of numerical solutions. But recently many geotechnical problems are solved using Artificial Intelligence (AI) techniques, by presenting new solutions or developing existing ones. Genetic Programming, (GP), is one of the most recently developed (AI) techniques based on Genetic Algorithm (GA) technique. In this research, GP technique is utilized to develop prediction criteria for liquefaction phenomena in cohesivless soils using collected historical records. The liquefaction formula is developed using special software written by the authors in "Visual C++" language. The accuracy of the developed formula was also compared with earlier prediction methods.
Changes in dam break hydrodynamic modelling practice - Suter et alStephen Flood
Abstract: Today, many organisations rely on hydrodynamic modelling to assess the consequences of dam break failure on downstream populations and infrastructure. The availability of finite volume shock-capturing schemes and flexible mesh schematisations in widely used software platforms imply that dam break modelling projects will be carried out differently in the future: Finite volume based platforms allow widespread application of shock-capturing methods and flexible mesh platforms can represent features in the study area more realistically and are more flexible thanks to varying mesh resolutions. Furthermore, the recent adoption of Graphics Processing Unit (GPU) technology in mainstream scientific and engineering computing will also significantly decrease computation times at relatively low cost.
This paper examines the application of finite volume, flexible mesh and GPU technologies to dam break modelling. One-dimensional (1D) modelling results are compared to those from two-dimensional (2D) finite difference and finite volume approaches. The results demonstrate that there are differences between modelling approaches and that the computational speeds of 2D simulations can be significantly reduced by the use of GPU processors.
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.
NEURAL NETWORK ASSISTED CONCRETE MIX DESIGN WITH AND WITHOUT MINERAL ADMIXTUREAbdulRazakBH
This paper presents a novel method of predicting concrete mix parameters using design charts developed
as per IS 10262:2009 codal provisions and these results are compared with Artificial Neural Network
(ANN) predicted values for the concrete mixes, designed with and without partial replacement of cement
with Fly ash. The concrete grades selected for preparing design charts are M20, M25, M30, M35, M40 and
M45 and an application of ANN is made to design concrete mix for grades M40 and M45 with and without
partial replacement of cement with Fly ash. 30% of Cement replacement with Fly ash is considered and
the type of concrete for placing is pumpable concrete. Both the design charts and Neural network is used
to predict the quantities of cement, Fly ash, water, water cement ratio, coarse aggregates, fine aggregates,
chemical admixture & minimum cement content and maximum water cement ratio for various exposure
conditions. Six inputs namely the grade of concrete, required slump, maximum size of aggregates, type of
aggregates, zone of sand and exposure conditions are used for the neural net. A five layer neural network
predicted values are in error range of 0.5% to 6%.
Key words: ANN, Coarse aggregates, Concrete mix design, Fine aggregates, Fly ash, W/C.
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.
Waste concrete is one of the most usable and economic kind of concrete which is used in many civil projects all around the world, and its importance is undeniable. Also, the explanation of constructional process and destruction of them cause the extensive growth of irreversible waste to the industry cycle, which can be as one of the main damaging factors to the economy. In this investigation, with using of constructional waste included concrete waste, brick, ceramic and tile and stone new aggregate was made. Also it was used with different weight ratios of cement in the mix design. The results of laboratory studies showed that the using of the ratio of sand to cement 1 and waste aggregate with 20% weight ratio (W20), replacing of normal aggregate, increased the 28 days compressive strength to the maximum stage 45.23 MPa. In the next stage, in order to develop the experimental results backpropagation neural network was used. This network with about 91% regression, 0.24 error, and 1.41 seconds, is a proper method for estimating results.
This paper relates the best practices in Log preprocessing in Petrophysics which
are necessary to have a good model for Facies and Permeability. The well-logs which
were used for the Electrofacies modeling and permeability modeling consist of
Gamma-Ray(GR), Bulk Density Porosity(RHOB) Neutron porosity(NPHI).
Meanwhile, the model distinct type of facies consists of sand, Shaly sand, and shale.
Precise Electrofacies sorting was accomplished by the Multi-Resolution Graph-based
Clustering (MRGC). The improvement in the Logs from the Well-X1 after undergoing
pre-processing like Log Normalization, Compaction Effect Removal, Fluid Effect
Removal returned the logs to their natural states and were used as input into Multi-
Resolution Graph-based Clustering (MRGC) model to produce better output Facies
and Permeability when compared to the Output which did not undergo preprocessing.
These practices can be utilized to validate very good Facies and
Permeability Models
"A full experimental and numerical modelling of the practicability of thin fo...Mehran Naghizadeh
Paper entitled "A full experimental and numerical modelling of the practicability of thin foam barrier as vibration reduction measure" published by Soil Dynamics and Earthquake Engineering (2020).
STRESSES BELOW EXISTING STRUCTURES DURING TUNNEL EXCAVATION USING TUNNEL BORI...ijiert bestjournal
The Finite element (FE) analysis include the response of structures t o horizontal & vertical dynamic forces and consider all site characteristics,such as soils and geologic conditions. The induced stresses under the foundation of adjacent buildings during newly constructed underground tunnel through TBM,were investigated in this study. Results of this study were examined to find out whether the amount of variations in forces and stresses are in the allowable ranges or not. In this paper,soil parameters used for the study are based on the existing Delhi Metro tunnel site. Using these soils parameters,tunnel excavation through TBM has been modelled in PLAXIS Tunnel - 3D and the adjacent structures have also been included in the model.
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.
The deposition of the flow of suspended particles has always been a problematic case in the process of flow transmission through sewers. Deposition of suspended materials decreases transmitting capacity. Therefore, it is necessary to have a method capable of precisely evaluating the flow velocity in order to prevent deposition. In this paper, using Gene-Expression Programming, a model is presented which properly predicts sediment transport in the sewer. In order to present Gene-Expression Programming model, firstly parameters which are effective on velocity are surveyed and considering every of them, six different models are presented. Among the presented models the best is being selected. The results show that using verification criteria, the presented model presents the results as Root Mean Squared Error, RMSE=0.12 and Mean Average Percentage Error, MAPE=2.56 for train and RMSE=0.14 and MAPE=2.82 for verification. Also, the model presented in this study was compared with the other existing sediment transport equations which were obtained using nonlinear regression analysis.
Drilling rate prediction using bourgoyne and young model associated with gene...Avinash B
Bourgoyne and Young model (BYM) has been the dominant
method for drilling rate prediction. It demonstrates a relation
between drilling rate and the parameters affecting it. There are
eight variables influencing the drilling rate, and they depend on
ground formation type and must be determined based on the data
gathered in advance. Bourgoyne and Young proposed multiple
regression method for determining the unknown coefficients,
albeit, this method has the shortcoming that may lead to an
outcome, which doesn’t make sense physically in some
circumstances. To dissolve this flaw, some new mathematical
methods have been introduced, but utilizing these methods will
confront us with a loss in the accuracy of drilling rate prediction.
Our proposed method solves the two above mentioned
deficiencies, physically meaningless coefficients, and the decrease
in accuracy. In our method, we have employed Genetic algorithm
(GA) to determine the unknown parameters of BYM. Our
practical data sets were nine wells of “Khangiran” Iranian gas
field. Simulation results do prove the efficiency of our new
method for determining constant coefficients of Bourgoyne and
Young model over the previous ones.
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.
Structural evaluation of low volume road pavements using pavement dynamic con...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
Structural evaluation of low volume road pavements using pavement dynamic con...eSAT Journals
Abstract
Static and dynamic cone penetration tests are widely used in Foundation engineering for measuring the penetration resistance of the
ground and for relating it to the degree of compaction and safe bearing capacity of soils. In Highway Engineering, Pavement
Dynamic Cone Penetrometer (DCP) is used for rapid in-situ strength evaluation of subgrade and other unbound pavement layers. In
the present studies, an attempt has been made to identify the strength and thickness of different pavement layers of newly constructed
low volume roads in the State of Karnataka, India using dynamic cone penetration studies and was compared with actual
measurements at the site. The evaluation of pavement test stretches was made for a period of two years, and changes in penetration
resistance of different pavement layers were measured. A Software was used to analyze the DCP data and to correlate with field
observation. The results have favoured the possibility of using dynamic cone penetrometer as a quality control and pavement
monitoring tool for low volume roads, eliminating the need for a Benkelman beam or a falling weight deflectometer.
Keywords: Pavement Dynamic Cone Penetrometer, CBR, Subgrade, Rural roads
Prediction of soil liquefaction using genetic programmingAhmed Ebid
DOI: 10.13140/2.1.2034.4644
In most geotechnical problems, it is too difficult to predict soil and structural behavior accurately, because of the large variation in soil parameters and the assumptions of numerical solutions. But recently many geotechnical problems are solved using Artificial Intelligence (AI) techniques, by presenting new solutions or developing existing ones. Genetic Programming, (GP), is one of the most recently developed (AI) techniques based on Genetic Algorithm (GA) technique. In this research, GP technique is utilized to develop prediction criteria for liquefaction phenomena in cohesivless soils using collected historical records. The liquefaction formula is developed using special software written by the authors in "Visual C++" language. The accuracy of the developed formula was also compared with earlier prediction methods.
Genetic programming for prediction of local scour at vertical bridge abutmenteSAT 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
FINITE ELEMENT ANALYSIS OF RIGID PAVEMENT USING EVERFE2.24& COMPARISION OF RE...civej
In this study analysis of plain cement concrete pavement was done with 3-D mechanistic FEM computer
programme EVERFE2.24. This programme was developed by Bill David, University of Maine,USA. Rigid
pavement is modelled as a flat slab with DLC as base course and subgrade beneath it.
Stresses in rigid pavement at critical location was calculated due to combined effect of axle load and
environmental factor.These results are compared with IRC58-2015&2002.The disparity between results
are analysed and plotted on graph.
This study finds that stressesgiven by IRC58-2015 is up to 42% less than that given by IRC58-2002, and
stresses given by EverFE2.24 is nearly same as given by IRC58-2002.italso highlighted some issues related
to new code of design i.e. IRC58-2015.
Building occupants’ comfort assessment in the PBWE frameworkFranco Bontempi
This research deals with the problem of the comfort assessment of high-rise building occupants under wind
action. Also if the problem has been studied by the researchers and by the civil engineering industry during last thirty years, appropriate methods to handling the design of high-rise buildings in order to avoid wind-induced occupant discomfort has not been defined yet, mainly due to the high uncertainties involved in the determination of both the demand and the sensitivity of the building occupants to wind-induced vibrations. The main issues related with this problem are first summarized, then the growing, pioneering performance-based wind engineering (PBWE) approach is proposed as tool to handle the problem. The required analyses are presented and discussed on both the conceptual and operational point of view. A case-study is then presented in order to demonstrate the effectiveness of the proposed approach. In the PBWE view, the contribution of the work is focused on the procedural step identified as “damage analysis”, something that, in authors’ knowledge, has not been yet developed in the literature.
Image processing techniques applied for pitting corrosion analysiseSAT Journals
Abstract
In order to study the behavior of the early stage of pitting corrosion, an image analysis based on discrete wavelet packet transform
and fractals was used. Image feature parameters were extracted and analyzed to characterize the pitting corrosion development with
test time. It was found that the feature parameters: Shannon entropy, energy, fractal dimension and intercept increased with the test
time. Therefore the image processing techniques were promising and effective tools to analyze and detect the pitting corrosion.
Keywords: corrosion, pitting corrosion, surface topography, surface analysis, carbon steel, tap water
BLASTING FRAGMENTATION MANAGEMENT USING COMPLEXITY ANALYSIS David Wilson
Ontonix Brasil academic collaboration: Presentation to 6th Brazilian Congress on Open Pit Mining was awarded the best graduation/master degree work presented in the congress
A Study of Non-Gaussian Error Volumes and Nonlinear Uncertainty Propagation f...Justin Spurbeck
The ever-growing resident space object population poses a continual threat in that a hyper velocity impact is likely to be catastrophic to an active satellite. To avoid these scenarios, space operators compute a probability of collision metric for each potential conjunction. Uncertainty trends are studied in the conjunction plane and operational decisions to mitigate any high-risk situations are made based off this information. There are many methods of uncertainty propagation and probability of collision formulations and knowledge of their realism is required to maintain a sustainable space environment. Thus, this research studies the effect of Chan, Alfano, Foster, Gaussian mixture, and Monte Carlo probability of collision calculations and their correlation to uncertainty realism metrics. The linear, unscented transform, entropy-based, and Monte Carlo propagation techniques are utilized alongside the collision calculations and it is shown that there are important correlations any space operator should be aware of to support maintenance of a healthy spacecraft.
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
An Automated Tool for MC/DC Test Data GenerationAriful Haque
Structural testing is often the most common sought criteria for exercising aspects of control flow (i.e. such as
statement, branch and path coverage). In many cases, criteria based on statement, decision and path coverage appears
sufficiently effective for testing (in terms of selecting the appropriate test cases for testing consideration) the various parts of the software implementation. In other cases involving complex predicates, criteria based on statement, branch, and path coverage appear problematic owing to the problem of masking (where one variable is “masking” the effects of other variables). Addressing this issue, this paper discusses the design and implementation of an automatic test data generation called MC/DC GEN for structural testing based on Multiple Condition/Decision Coverage (MC/DC). In doing so, this paper also highlights the possible adoption of MC/DC GEN for practical use.
A Simulation Experiment on a Built-In Self Test Equipped with Pseudorandom Te...VLSICS Design
This paper investigates the impact of the changes of the characteristic polynomials and initial loadings, on behaviour of aliasing errors of parallel signature analyzer (Multi-Input Shift Register), used in an LFSR based digital circuit testing technique. The investigation is carried-out through an extensive simulation study of the effectiveness of the LFSR based digital circuit testing technique. The results of the study show that when the identical characteristic polynomials of order n are used in both pseudo-random test-pattern generator, as well as in Multi-Input Shift Register (MISR) signature analyzer (parallel type) then the probability of aliasing errors remains unchanged due to the changes in the initial loadings of the pseudo-random test-pattern generator.
A Simulation Experiment on a Built-In Self Test Equipped with Pseudorandom Te...VLSICS Design
This paper investigates the impact of the changes of the characteristic polynomials and initial loadings, on behaviour of aliasing errors of parallel signature analyzer (Multi-Input Shift Register), used in an LFSR based digital circuit testing technique. The investigation is carried-out through an extensive simulation study of the effectiveness of the LFSR based digital circuit testing technique. The results of the study show that when the identical characteristic polynomials of order n are used in both pseudo-random test-pattern generator, as well as in Multi-Input Shift Register (MISR) signature analyzer (parallel type) then the probability of aliasing errors remains unchanged due to the changes in the initial loadings of the pseudo-random test-pattern generator.
17 decision support system for optimum soft clay improvement techniqueAhmed Ebid
Identifying a soft clay improvement strategy is a main challenging in highway construction projects due
to the various conditions involved. Hence, the objective of this paper is to present a Decision Support
System (DSS) to select the optimum soft clay improvement technique for this type of projects. Value
Engineering (VE) is integrated with Analytical Hierarchy Process (AHP) for the proposed (DSS). Using
the AHP provides a robust means of identifying the relative importance of any criteria or factors for soft
clay improvement alternatives. The scope of this study includes four of the most commonly used techniques
for soft clay improvement: soil replacement, pre-loading, vertical drains, and the construction
of embankments on piles. The proposed methodology was verified using four case studies of highways
under construction in northern Egypt. The results show that the proposed (DSS) successfully predicted
the optimum soft clay improvement technique in three out of the four cases.
15 experimental study for strengthening of rc rectangular columns with anchor...Ahmed Ebid
Debonding between CFRP sheets and concrete surface is one of the most important modes of failure. The common solution to
prevent this mode of failure is to extend the CFRP sheets by enough length to avoid debonding. A more advanced technique is to anchor the CFRP sheets to the concrete element using either steel or CFRP anchors. The aim of this research is to study the effect of using CFRP anchors on the capacity of concentric and eccentric RC columns. In order to achieve that goal, ten specimens of RC columns divided into two sets were tested. The first set was tested under concentric load, while the other set was tested under eccentric load. Each set had one control sample, while the other four samples were wrapped with CFRP bands. Two of the wrapped samples were anchored and the others were not. The spacing between CFRP wraps was varied between 80 and 200 mm. The results showed that the concentric and eccentric capacity of the sample increased with decreasing the spacing between CFRP bands as long as the eccentricity is small enough to cause
compression failure mode. But for samples with tension failure caused by large eccentricity, the CFRP bands have no effect on the capacity. It was also noted that anchors have no significant effect on the axial capacity of the samples
Surface or shallow compaction is one of the earliest, cheapest and commonly used techniques to improve the physical and
mechanical properties of loose soil specially for imported structural fill. It is simply rearranging of soil particles to reduce air ratios using
surface static or vibrating mechanical effort. Usually, shallow compaction procedure includes subjecting the loose soil to certain number of
compacting equipment passes to archive the accepted compaction level; this number of passes is a function of many parameters such as
type of soil, initial soil parameters, compacting equipment characteristics and thickness of soil lift. International codes, specifications and
handbooks include just guidelines about the required number of passes; accordingly, it is usually determined based on personal
experience and field trials. This research has two goals, the first is to estimate the properties improvement of certain natural surface loose
soil under certain surface compaction procedure by calculating the enhancement in soil properties after each pass and updating the soil
properties for next pass calculations. The second goal is to use the previous approach to develop set of equations to design surface
compaction procedure for imported structural fill, this includes calculating minimum compaction equipment characteristics, maximum lift
thickness and minimum number of passes to enhance certain imported fill from certain initial condition to certain final condition. The
proposed approach for the first goal was verified using case studies and showed good matches, and the developed designing equations for
surface compaction procedure were verified using case studies and showed good matches.
This research work mainly investigates the local production of 12 built up GFRP I-beams using Hand Lay-Up production method (since up-till now there is no pultrusion industry in Egypt). Overall strength characteristics of these beams will determined experimentally and compared to those manufactured by the Pultrusion process. This comparison will help to estimate to how extent the locally manufactured beams (by Hand Lay-Up technique) can be used in full permanent structures (like pultruded beams) or at least used in light and temporary structures. In order to achieve this goal, the experimental study was divided into two stages: The first stage is to manufacture GFRP plates using glass fibers and polyester. Two types of plates were produced one for flange plates and the other for web plates. These two types of plates are different in fibers orientation of different layers within the plate thickness in order to reach the possible higher tensile and flexural strength for flange plates and possible higher shear strength for web plates. Longitudinal and transverse tensile, compressive, and flexural strength for these two types of plates were experimentally determined using coupons tests. The second stage is to produce built-up GFRP I-beams using the aforementioned plates and composite angles. The overall stiffness and modes of failure of these beams were experimentally determined. The obtained results were compared with those of pultruded I-beams manufactured in the United States by pultrusion process. Also three different connecting methods for the 12 tested beams were investigated, namely: Bonding – Bolting – Bolting/Bonding connecting techniques. Of course it is expected that some local fabrication parameters (like fiber and polymer properties available in the local market, labour, temperature, polymer curing …etc) are expected to affect the properties of the fabricated beams specially that these beams are manufactured manually.
10 simple mathematical approach for granular fill Ahmed Ebid
improving soil parameters using dynamic
compaction of was intensively studied by many researchers since
1980’s. Earlier researchers depended on statistical analysis of
many case studies and soil dynamic principals to develop
empirical formula used in designing dynamic compaction
procedure. Recent researchers used different finite element
models to describe the behavior of soil under dynamic
compaction; those models varied between 1-D simple model and
up to 3-D sophisticated ones. The aim of this research is to
introduce a simple mathematical approach to simulate ground
deformations and soil parameters improvement due to dynamic
compaction. The proposed approach consists of two equations, the
1st one used to calculate the ground settlement due to one temper
drop, the 2nd one used to calculate the updated soil parameters
due to the ground settlement from the previous drop. By applying
the two equations successively, both ground settlement and soil
parameters improvement could be calculated after each tamper
drop. The proposed approach was applied on four case studies and
its results were so close to measured ones. The proposed approach
could be used in designing or testing the dynamic compaction
procedures and also in monitoring the quality of execution by
comparing the measured settlement after each drop with
calculated one.
Image compression using genetic programmingAhmed Ebid
The fast growth in digital image applications such as web sites, multimedia and even personal image archives encouraged researchers to develop advanced techniques to compress images. Many compression techniques where introduced whether reversible or not. Most of those techniques were based on statistical analysis of repetition or mathematical transforming to reduce the size of the image. This research is concerning in applying Genetic programing (GP) technique in image compression. In order to achieve that goal, a parametric study was carried out to determine the optimum combination of (GP) parameters to achieve maximum quality and compression ratio. For simplicity the study considered 256 level gray scale image. A special C++ software was developed to carry out all calculations, the compressed images was rendered using Microsoft Excel. Study results was compared with JPEG results as one of the most popular lossy compression techniques. It is concluded that using optimum (GP) parameters leads to acceptable quality (objectively and subjectively) corresponding to compression ratio ranged between 2.5 and 4.5.
optimum alternative to reduce column size considering behavior and cost impac...Ahmed Ebid
The increasing of high raise and heavy industrial construction industry causes increasing in structural columns loads and
accordingly their cross sections, on other hand; architectural and mechanical requirements limit the available spaces for
columns. Commonly, three alternatives are used to reduce column size to fit into the available space with same axial capacity,
the first is to use higher concrete strength, the second is to use composite column (enclosed or in-filled) and the third is to use
high strength steel column. In this research, a parametric study is carried out to figure out the impact of each alternative on
the structural behavior and direct cost of the project. The study is based on average materials, labor and equipment rates in
USA in 2016. Study results indicated that optimum alternative is to use higher concrete strength up to 1.4 times the concrete
strength of floors beyond this limit, composite column (enclosed or in-filled) is recommended. Finally high strength steel
column is the only alternative for very compacted columns.
Prediction of uplift capacity using genetic programmingAhmed Ebid
DOI: 10.13140/2.1.3107.6163
In most geotechnical problems, it is too difficult to predict soil and structural behavior accurately, because of the large variation in soil parameters and the assumptions of numerical solutions. But recently many geotechnical problems are solved using Artificial Intelligence (AI) techniques, by presenting new solutions or developing existing ones. Genetic Programming, (GP), is one of the most recently developed (AI) techniques based on Genetic Algorithm (GA) technique. In this research, GP technique is utilized to develop prediction criteria for uplift capacity of shallow foundations using collected historical records. The uplift capacity formula is developed using special software written by the authors in "Visual C++" language. The accuracy of the developed formula was also compared with earlier prediction methods.
Theoretical study for r.c. columns strengthened with gfrp with different main...Ahmed Ebid
DOI: 10.13140/2.1.3631.9041
It becomes a common practice to strength and repair reinforced concrete columns by wrapping them with GFRP sheets. The aim of this research is to develop a formula to describe the relation between the gain of strength of reinforced concrete square columns, their longitudinal reinforcement and number of warped layers of GFRP sheets. The research is based on simulating loading tests of a set of 12 reinforced concrete columns with different reinforcement ratios and different number of warped layers of GFRP sheets using ANSYS software. The outputs of the ANSYS models are verified using experimental tests results carried out by the author in earlier research. The results of the study are used to develop a proposed formula to correlate the axial capacity of the warped square RC column with its reinforcement ratio and the confining stress caused by the sheets. Values from both proposed formula design and formula of Egyptian Code of Practice (ECP) are compared with ANSYS outputs and experimental results. The final conclusion is that gained strength due to confining equals to (confining stress / Fcu)
Optimum replacement depth to control heave of swelling claysAhmed Ebid
The behavior of unsaturated swelling soils under changing of moisture content was intensively studied by many researchers since the 1950’s. Many proposed formulas and techniques were used to classify, describe and predict the swelling behavior and parameters of such type of soil. On the other hand, many techniques are used to allow structures to be founded on swelling soils without suffering any damages due to the soil heave. Replacing the swelling soil with granular mixture is one of the most famous and cheapest techniques especially in case of light structures on shallow layer of swelling soil. The aim of this research is to develop a simplified formula to estimate the heave of swelling soil considering the effect of replaced layer. The developed formula is used to estimate the required replacement depth to avoid damage due to excessive heave.
Optimum penetration depth of cantilever sheet pile walls in dry granular soil Ahmed Ebid
in Cantilevered sheet
pile walls are commonly used in shoring systems of deep excavation down to about 5.00 m. The most common design procedure for this type
of flexible retaining structures is to determine the required penetration depth for stability and then increasing the calculated penetration
depth by 20% to 40% to achieve a factor of safety of about 1.5 to 2.0. This procedure has two disadvantages; first, the procedure does not
give accurate values for penetration depth or corresponding factor of safety, second, it ignores the effect of uncertainty in the used
geotechnical parameters. The first aim of this study is to overcome those two disadvantages by introduce an alternative formula to
determine the optimum penetration depth of cantilever sheet pile walls in dry granular soil based on reliability analysis concept, while, the
second aim is to study the impact of using the optimum depth on the cost of the shoring system. The study results assure the validity of
provision of increasing the calculated penetration depth by (20% to 40%) and introduced a formula to calculate the required penetration
depth to achieve probability of failure of 0.1% and proved that using this optimum depth can reduce the direct cost of the shoring system by
5% to 10% based on internal friction angle of soil.
Estimating the economic quantities of different concrete slab typesAhmed Ebid
DOI: 10.15680/IJIRSET.2015.0405002
The economy of the structural design of reinforced concrete buildings is usually evaluated by comparing
the concrete volume per unit area and rebar weight per unit volume with certain empirical values depending on the type
of the structure and the past experience of the judging engineer. The aim of this paper is to refine those empirical values
and give that past experience the required scientific base. In order to achieve that goal, simplified methods of design
that stated in most of reinforced concrete design codes are used to figure out the required quantities of concrete and
reinforcement steel for different structural elements and types. Some reasonable assumptions are used to facilitate the
mathematical formulas to be usable and presentable. Produced formulas are accurate enough to be used in rough
estimation of concrete and rebar quantities, check quantity surveying results and evaluate the economy of the structural
design
Simplified approach to consider cracking effect on the behavior of laterally ...Ahmed Ebid
DOI: 10.15680/IJIRSET.2015.0410015
Laterally loaded pile is a famous case of soil-structure interaction problem which was intensively studied by many researchers before. The techniques used to predict the behavior of laterally loaded piles were developed with increasing of the available computational capabilities from closed mathematical formulas to finite differences technique and finally linear finite elements technique. Recently, very sophisticated 3D elasto-plastic non-linear finite element models were used to accurately predict that behavior. Unfortunately, those sophisticated models are too complicated to be used in practical design. Hence, the aim of this research is to introduce a much simpler and practical approach to predict the behavior of the laterally loaded concrete piles considering the nonlinear effect of concrete cracking. Special calculating tool based on finite elements is developed to carry out a parametric study of the behavior of a set of 24 piles with different aspect ratios, reinforcement ratios, relative stiffness and head constrains. The validity of the calculating tool is checked against case history field tests. The results of the parametric study show three different failure modes according to the flexibility of the pile. Comparing the results with the formulas of ECP (202/4) shows the matching in the ultimate lateral capacity, while the ultimate lateral deformations are about (127 to 132%) of the code prediction.
Application of risk analysis in uplift foundationAhmed Ebid
DOI: 10.13140/RG.2.1.2153.7766
The development of statistics and probability puts The expression (Probability of failure ) instead of ( Factor of safety) in most stability problems in geotechnical field, because it takes into consideration the non-uniformity of soil parameters as random variables since to obey the probability rules, which known as (Risk Analysis Theory).
So using this method to analyze the stability problems gives more accurate results than the conventional method of factor of safety.
This research is concerned with applying lhe risk analysis theory in case of uplift. foundations. The considered types of foundations are:
• Pad and chimney
• Tension piles
• Anchors
The aim of this thesis is to recommend the most suitable method and evaluate the corresponding factor of safety to predict the capacity of uplift foundation according to soil conditions and target probability of failure.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
9. International Journal of Scientific and Engineering Research
(IJSER)
PUBLICATION CERTIFICATE
Paper Number: I0130603
Paper Title: Predicting (Nk) factor of CPT test using (GP): Comparative Study of MEPX & GN7
Authors: Ahmed H. ELbosraty, Ahmed M. Ebid, Ayman L. Fayed
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�Research �Application �Case Study �Survey �On-going �Other
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Any additional comments: Paper Published in IJSER Volume 10, Issue3, March 2019 Edition (ISSN
2229-5518).
10. ISSN 2229-5518
CERTIFICATE OF ACCEPTANCE
International Journal of Scientific & Engineering Research
(IJSER)
Ahmed M. Ebid
Predicting (Nk) factor of CPT test using (GP): Comparative Study of MEPX and GN7
March 23,2019
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Predicting (Nk) factor of CPT test
using (GP): Comparative Study of
MEPX & GN7