Abstract
Composite Circular hollow Steel tubes with and without GFRP infill for three different grades of Light weight concrete are tested for
ultimate load capacity and axial shortening , under Cyclic loading. Steel tubes are compared for different lengths, cross sections and
thickness. Specimens were tested separately after adopting Taguchi’s L9 (Latin Squares) Orthogonal array in order to save the initial
experimental cost on number of specimens and experimental duration. Analysis was carried out using ANN (Artificial Neural
Network) technique with the assistance of Mini Tab- a statistical soft tool. Comparison for predicted, experimental & ANN output is
obtained from linear regression plots. From this research study, it can be concluded that *Cross sectional area of steel tube has most
significant effect on ultimate load carrying capacity, *as length of steel tube increased- load carrying capacity decreased & *ANN
modeling predicted acceptable results. Thus ANN tool can be utilized for predicting ultimate load carrying capacity for composite
columns.
Keywords: Light weight concrete, GFRP, Artificial Neural Network, Linear Regression, Back propagation, orthogonal
Array, Latin Squares
A nonlinear model for the vibration suppression of a smart composite elastic plate using graphical representation involving fuzzy control is presented. The plate follows the von Kármán and Kirchhoff plate bending theories and the oscillations are caused by external transversal loading forces, which are applied directly on it. Two different control forces, one continuous and one located at discrete points, are considered. The mechanical model is spatially discretized by using the time spectral Galerkin and collocation methods. The aim is to suppress vibrations through a simulation process within a modern graphical computing environment. Here we use MATLAB/SIMULINK, while other similar packages can be used as well. The nonlinear controller is designed, based on an application of a Mamdani-type fuzzy inference system. A computational algorithm, proposed and tested here is not only effective but robust as well. Furthermore, all elements of the study can be replaced or extended, due to the flexibility of the used SIMULINK environment.
This paper presents a model for calculation of torsion capacity of the reinforced concrete beams using the artificial neural network. Considering the complex reaction of reinforced concrete beams under torsion moments, torsion strength of these beams is depended on different parameters; therefore using the artificial neural network is a proper method for estimating the torsion capacity of the beams. In the presented model the beam's dimensions, concrete compressive strength and longitudinal and traverse bars properties are the input data, and torsion capacity of the reinforced concrete beam is the output of the model. Also considering the neural network results, a sensitivity analysis is performed on the network layers weight, and the effect of different parameters is evaluated on the torsion strength of the reinforced concrete beams. According to the sensitivity analysis, properties of traverse steel have the most effect on torsion capacity of the beams.
A nonlinear model for the vibration suppression of a smart composite elastic plate using graphical representation involving fuzzy control is presented. The plate follows the von Kármán and Kirchhoff plate bending theories and the oscillations are caused by external transversal loading forces, which are applied directly on it. Two different control forces, one continuous and one located at discrete points, are considered. The mechanical model is spatially discretized by using the time spectral Galerkin and collocation methods. The aim is to suppress vibrations through a simulation process within a modern graphical computing environment. Here we use MATLAB/SIMULINK, while other similar packages can be used as well. The nonlinear controller is designed, based on an application of a Mamdani-type fuzzy inference system. A computational algorithm, proposed and tested here is not only effective but robust as well. Furthermore, all elements of the study can be replaced or extended, due to the flexibility of the used SIMULINK environment.
This paper presents a model for calculation of torsion capacity of the reinforced concrete beams using the artificial neural network. Considering the complex reaction of reinforced concrete beams under torsion moments, torsion strength of these beams is depended on different parameters; therefore using the artificial neural network is a proper method for estimating the torsion capacity of the beams. In the presented model the beam's dimensions, concrete compressive strength and longitudinal and traverse bars properties are the input data, and torsion capacity of the reinforced concrete beam is the output of the model. Also considering the neural network results, a sensitivity analysis is performed on the network layers weight, and the effect of different parameters is evaluated on the torsion strength of the reinforced concrete beams. According to the sensitivity analysis, properties of traverse steel have the most effect on torsion capacity of the beams.
Comparative study of rc framed structures using spectra based pushover analysiseSAT Journals
Abstract Spectra based multimodal adaptive pushover analysis considers higher modes of vibration and combines them using SRSS rule and scale factors. Damage index for the structures are calculated to evaluate the degree of damage occurred after a seismic event. For the present study the Spectra based multimodal adaptive pushover analysis is adopted for G+ 4 storeys Symmetric and G+ 4 storeys Asymmetric Reinforced concrete framed structures. The Expended Energy based damage index methods are used to calculate Damage Index for symmetric and asymmetric structures. ETABS 2015 software is utilized for modeling and analysis of Reinforced concrete framed structures. The comparative studies are carried out between the structure considering only 1st mode and considering all modes and compared between 3 methods of damage index. It is observed that the capacity obtained by considering all modes is less than the capacity obtained by considering only 1st mode. The target displacement obtained considering only 1st mode is less than the target displacement obtained considering all modes. And the damage index obtained by considering all modes is more than the damage index obtained by considering only 1st mode. Therefore it is necessary to consider all modes to get accurate results. In asymmetric building the ductility is less, the capacity is less, demand is high, and degree of damage is more when compared with symmetric building. Keywords: pushover analysis, damage index, RC frame, multimodal, symmetric and asymmetric
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
Assessment of wear rate is an inseparable section of the saw ability of dimension stone, and an essential task to optimization in the diamond wire saw performance. This research aims to provide an accurate, practical and applicable model for predicting the wear rate of diamond bead based on rock properties using applications and performances of intelligent systems. In order to reach this purpose, 38 cutting test results with 38 different rocks were used from andesites, limestones and real marbles quarries located in eleven areas in Turkey. Prediction of wear rate is determined by optimization techniques like Multilayer Perceptron (MLP) and hybrid Genetic algorithm –Artificial neural network (GA-ANN) models that were utilized to build two estimation models by MATLAB software. In this study, 80% of the total samples were used randomly for the training dataset, and the remaining 20% was considered as testing data for GA-ANN model. Further, accuracy and performance capacity of models established were investigated using root mean square error (RMSE), the coefficient of determination (R2) and standard deviation (STD). Finally, a comparison was made among performances of these soft computing techniques for predicting and the results obtained indicated hybrid GA-ANN model with a coefficient of determination (R2) of training = 0.95 and testing = 0.991 can get more accurate predicting results in comparison with MLP models.
AN IMPROVED METHOD FOR IDENTIFYING WELL-TEST INTERPRETATION MODEL BASED ON AG...IAEME Publication
This paper presents an approach based on applying an aggregated predictor formed by multiple versions of a multilayer neural network with a back-propagation optimization algorithm for helping the engineer to get a list of the most appropriate well-test interpretation models for a given set of pressure/ production data. The proposed method consists of three stages: (1) data decorrelation through principal component analysis to reduce the covariance between the variables and the dimension of the input layer in the artificial neural network, (2) bootstrap replicates of the learning set where the data is repeatedly sampled with a random split of the data into train sets and using these as new learning sets, and (3) automatic reservoir model identification through aggregated predictor formed by a plurality vote when predicting a new class. This method is described in detail to ensure successful replication of results. The required training and test dataset were generated by using analytical solution models. In our case, there were used 600 samples: 300 for training, 100 for cross-validation, and 200 for testing. Different network structures were tested during this study to arrive at optimum network design. We notice that the single net methodology always brings about confusion in selecting the correct model even though the training results for the constructed networks are close to 1. We notice also that the principal component analysis is an effective strategy in reducing the number of input features, simplifying the network structure, and lowering the training time of the ANN. The results obtained show that the proposed model provides better performance when predicting new data with a coefficient of correlation approximately equal to 95% Compared to a previous approach 80%, the combination of the PCA and ANN is more stable and determine the more accurate results with lesser computational complexity than was feasible previously. Clearly, the aggregated predictor is more stable and shows less bad classes compared to the previous approach.
Network Reconfiguration of Distribution System for Loss Reduction Using GWO A...IJECEIAES
This manuscript presents a feeder reconfiguration in primary distribution networks with an objective of minimizing the real power loss or maximization of power loss reduction. An optimal switching for the network reconfiguration problem is introduced in this article based on step by step switching and simultaneous switching. This paper proposes a Grey Wolf Optimization (GWO) algorithm to solve the feeder reconfiguration problem through fitness function corresponding to optimum combination of switches in power distribution systems. The objective function is formulated to solve the reconfiguration problem which includes minimization of real power loss. A nature inspired Grey Wolf Optimization Algorithm is utilized to restructure the power distribution system and identify the optimal switches corresponding minimum power loss in the distribution network. The GWO technique has tested on standard IEEE 33-bus and 69-bus systems and the results are presented.
Comparison of backstepping, sliding mode and PID regulators for a voltage inv...IJECEIAES
In the present paper, an efficient and performant nonlinear regulator is designed for the control of the pulse width modulation (PWM) voltage inverter that can be used in a standalone photovoltaic microgrid. The main objective of our control is to produce a sinusoidal voltage output signal with amplitude and frequency that are fixed by the reference signal for different loads including linear or nonlinear types. A comparative performance study of controllers based on linear and non-linear techniques such as backstepping, sliding mode, and proportional integral derivative (PID) is developed to ensure the best choice among these three types of controllers. The performance of the system is investigated and compared under various operating conditions by simulations in the MATLAB/Simulink environment to demonstrate the effectiveness of the control methods. Our investigation shows that the backstepping controller can give better performance than the sliding mode and PID controllers. The accuracy and efficiency of the proposed backstepping controller are verified experimentally in terms of tracking objectives.
Multi Area Economic Dispatch Using Secant Method and Tie Line MatrixIJAPEJOURNAL
In this paper, Secant method and tie line matrix are proposed to solve multi area economic dispatch (MAED) problem with tie line loss. Generator limits of all generators in each area are calculated at given area power demands plus export (or import) using secant method and the generator limits of all generators are modified as modified generator limits. Central economic dispatch (CED) problem is used to determine the output powers of all generators and finally power flows in all tie lines are determined from tie line matrix. Here, Secant method is applied to solve the CED problem. A modified tie line matrix is used to find power flow in each tie line and then tie line loss is calculated from the power flow in each tie line. The proposed approach has been tested on two-area (two generators in each area) system and four-area (four generators in each area) system. It is observed from various cases that the proposed approach provides optimally best solution in terms of cost with tie line loss with less computational burden.
Optimal Siting of Distributed Generators in a Distribution Network using Arti...IJECEIAES
Distributed generation (DG) sources are being installed in distribution networks worldwide due to their numerous advantages over the conventional sources which include operational and economical benefits. Random placement of DG sources in a distribution network will result in adverse effects such as increased power loss, loss of voltage stability and reliability, increase in operational costs, power quality issues etc. This paper presents a methodology to obtain the optimal location for the placement of multiple DG sources in a distribution network from a technical perspective. Optimal location is obtained by evaluating a global multi-objective technical index (MOTI) using a weighted sum method. Clonal selection based artificial immune system (AIS) is used along with optimal power flow (OPF) technique to obtain the solution. The proposed method is executed on a standard IEEE-33 bus radial distribution system. The results justify the choice of AIS and the use of MOTI in optimal siting of DG sources which improves the distribution system efficiency to a great extent in terms of reduced real and reactive power losses, improved voltage profile and voltage stability. Solutions obtained using AIS are compared with Genetic algorithm (GA) and Particle Swarm optimization (PSO) solutions for the same objective function.
Relevance Vector Machines for Earthquake Response Spectra drboon
This study uses Relevance Vector Machine (RVM) regression to develop a probabilistic model for the average horizontal component of 5%-damped earthquake response spectra. Unlike conventional models, the proposed approach does not require a functional form, and constructs the model based on a set predictive variables and a set of representative ground motion records. The RVM uses Bayesian inference to determine the confidence intervals, instead of estimating them from the mean squared errors on the training set. An example application using three predictive variables (magnitude, distance and fault mechanism) is presented for sites with shear wave velocities ranging from 450 m/s to 900 m/s. The predictions from the proposed model are compared to an existing parametric model. The results demonstrate the validity of the proposed model, and suggest that it can be used as an alternative to the conventional ground motion models. Future studies will investigate the effect of additional predictive variables on the predictive performance of the model.
Basics of earthquake & structural and non structural guidelines for building ...Bhasker Vijaykumar Bhatt
The presentation covers the scenario post a hazard of Earthquake turned into a disaster. Further, it includes the basic terminology, dynamics of EQ event, and suggests remedial practices for structural and non-structural elements of a building. Purpose the compilation is to sensitize learners.
This document gives the class notes of Unit-8: Torsion of circular shafts and elastic stability of columns. Subject: Mechanics of materials.
Syllabus contest is as per VTU, Belagavi, India.
Notes Compiled By: Hareesha N Gowda, Assistant Professor, DSCE, Bengaluru-78.
Comparative study of rc framed structures using spectra based pushover analysiseSAT Journals
Abstract Spectra based multimodal adaptive pushover analysis considers higher modes of vibration and combines them using SRSS rule and scale factors. Damage index for the structures are calculated to evaluate the degree of damage occurred after a seismic event. For the present study the Spectra based multimodal adaptive pushover analysis is adopted for G+ 4 storeys Symmetric and G+ 4 storeys Asymmetric Reinforced concrete framed structures. The Expended Energy based damage index methods are used to calculate Damage Index for symmetric and asymmetric structures. ETABS 2015 software is utilized for modeling and analysis of Reinforced concrete framed structures. The comparative studies are carried out between the structure considering only 1st mode and considering all modes and compared between 3 methods of damage index. It is observed that the capacity obtained by considering all modes is less than the capacity obtained by considering only 1st mode. The target displacement obtained considering only 1st mode is less than the target displacement obtained considering all modes. And the damage index obtained by considering all modes is more than the damage index obtained by considering only 1st mode. Therefore it is necessary to consider all modes to get accurate results. In asymmetric building the ductility is less, the capacity is less, demand is high, and degree of damage is more when compared with symmetric building. Keywords: pushover analysis, damage index, RC frame, multimodal, symmetric and asymmetric
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
Assessment of wear rate is an inseparable section of the saw ability of dimension stone, and an essential task to optimization in the diamond wire saw performance. This research aims to provide an accurate, practical and applicable model for predicting the wear rate of diamond bead based on rock properties using applications and performances of intelligent systems. In order to reach this purpose, 38 cutting test results with 38 different rocks were used from andesites, limestones and real marbles quarries located in eleven areas in Turkey. Prediction of wear rate is determined by optimization techniques like Multilayer Perceptron (MLP) and hybrid Genetic algorithm –Artificial neural network (GA-ANN) models that were utilized to build two estimation models by MATLAB software. In this study, 80% of the total samples were used randomly for the training dataset, and the remaining 20% was considered as testing data for GA-ANN model. Further, accuracy and performance capacity of models established were investigated using root mean square error (RMSE), the coefficient of determination (R2) and standard deviation (STD). Finally, a comparison was made among performances of these soft computing techniques for predicting and the results obtained indicated hybrid GA-ANN model with a coefficient of determination (R2) of training = 0.95 and testing = 0.991 can get more accurate predicting results in comparison with MLP models.
AN IMPROVED METHOD FOR IDENTIFYING WELL-TEST INTERPRETATION MODEL BASED ON AG...IAEME Publication
This paper presents an approach based on applying an aggregated predictor formed by multiple versions of a multilayer neural network with a back-propagation optimization algorithm for helping the engineer to get a list of the most appropriate well-test interpretation models for a given set of pressure/ production data. The proposed method consists of three stages: (1) data decorrelation through principal component analysis to reduce the covariance between the variables and the dimension of the input layer in the artificial neural network, (2) bootstrap replicates of the learning set where the data is repeatedly sampled with a random split of the data into train sets and using these as new learning sets, and (3) automatic reservoir model identification through aggregated predictor formed by a plurality vote when predicting a new class. This method is described in detail to ensure successful replication of results. The required training and test dataset were generated by using analytical solution models. In our case, there were used 600 samples: 300 for training, 100 for cross-validation, and 200 for testing. Different network structures were tested during this study to arrive at optimum network design. We notice that the single net methodology always brings about confusion in selecting the correct model even though the training results for the constructed networks are close to 1. We notice also that the principal component analysis is an effective strategy in reducing the number of input features, simplifying the network structure, and lowering the training time of the ANN. The results obtained show that the proposed model provides better performance when predicting new data with a coefficient of correlation approximately equal to 95% Compared to a previous approach 80%, the combination of the PCA and ANN is more stable and determine the more accurate results with lesser computational complexity than was feasible previously. Clearly, the aggregated predictor is more stable and shows less bad classes compared to the previous approach.
Network Reconfiguration of Distribution System for Loss Reduction Using GWO A...IJECEIAES
This manuscript presents a feeder reconfiguration in primary distribution networks with an objective of minimizing the real power loss or maximization of power loss reduction. An optimal switching for the network reconfiguration problem is introduced in this article based on step by step switching and simultaneous switching. This paper proposes a Grey Wolf Optimization (GWO) algorithm to solve the feeder reconfiguration problem through fitness function corresponding to optimum combination of switches in power distribution systems. The objective function is formulated to solve the reconfiguration problem which includes minimization of real power loss. A nature inspired Grey Wolf Optimization Algorithm is utilized to restructure the power distribution system and identify the optimal switches corresponding minimum power loss in the distribution network. The GWO technique has tested on standard IEEE 33-bus and 69-bus systems and the results are presented.
Comparison of backstepping, sliding mode and PID regulators for a voltage inv...IJECEIAES
In the present paper, an efficient and performant nonlinear regulator is designed for the control of the pulse width modulation (PWM) voltage inverter that can be used in a standalone photovoltaic microgrid. The main objective of our control is to produce a sinusoidal voltage output signal with amplitude and frequency that are fixed by the reference signal for different loads including linear or nonlinear types. A comparative performance study of controllers based on linear and non-linear techniques such as backstepping, sliding mode, and proportional integral derivative (PID) is developed to ensure the best choice among these three types of controllers. The performance of the system is investigated and compared under various operating conditions by simulations in the MATLAB/Simulink environment to demonstrate the effectiveness of the control methods. Our investigation shows that the backstepping controller can give better performance than the sliding mode and PID controllers. The accuracy and efficiency of the proposed backstepping controller are verified experimentally in terms of tracking objectives.
Multi Area Economic Dispatch Using Secant Method and Tie Line MatrixIJAPEJOURNAL
In this paper, Secant method and tie line matrix are proposed to solve multi area economic dispatch (MAED) problem with tie line loss. Generator limits of all generators in each area are calculated at given area power demands plus export (or import) using secant method and the generator limits of all generators are modified as modified generator limits. Central economic dispatch (CED) problem is used to determine the output powers of all generators and finally power flows in all tie lines are determined from tie line matrix. Here, Secant method is applied to solve the CED problem. A modified tie line matrix is used to find power flow in each tie line and then tie line loss is calculated from the power flow in each tie line. The proposed approach has been tested on two-area (two generators in each area) system and four-area (four generators in each area) system. It is observed from various cases that the proposed approach provides optimally best solution in terms of cost with tie line loss with less computational burden.
Optimal Siting of Distributed Generators in a Distribution Network using Arti...IJECEIAES
Distributed generation (DG) sources are being installed in distribution networks worldwide due to their numerous advantages over the conventional sources which include operational and economical benefits. Random placement of DG sources in a distribution network will result in adverse effects such as increased power loss, loss of voltage stability and reliability, increase in operational costs, power quality issues etc. This paper presents a methodology to obtain the optimal location for the placement of multiple DG sources in a distribution network from a technical perspective. Optimal location is obtained by evaluating a global multi-objective technical index (MOTI) using a weighted sum method. Clonal selection based artificial immune system (AIS) is used along with optimal power flow (OPF) technique to obtain the solution. The proposed method is executed on a standard IEEE-33 bus radial distribution system. The results justify the choice of AIS and the use of MOTI in optimal siting of DG sources which improves the distribution system efficiency to a great extent in terms of reduced real and reactive power losses, improved voltage profile and voltage stability. Solutions obtained using AIS are compared with Genetic algorithm (GA) and Particle Swarm optimization (PSO) solutions for the same objective function.
Relevance Vector Machines for Earthquake Response Spectra drboon
This study uses Relevance Vector Machine (RVM) regression to develop a probabilistic model for the average horizontal component of 5%-damped earthquake response spectra. Unlike conventional models, the proposed approach does not require a functional form, and constructs the model based on a set predictive variables and a set of representative ground motion records. The RVM uses Bayesian inference to determine the confidence intervals, instead of estimating them from the mean squared errors on the training set. An example application using three predictive variables (magnitude, distance and fault mechanism) is presented for sites with shear wave velocities ranging from 450 m/s to 900 m/s. The predictions from the proposed model are compared to an existing parametric model. The results demonstrate the validity of the proposed model, and suggest that it can be used as an alternative to the conventional ground motion models. Future studies will investigate the effect of additional predictive variables on the predictive performance of the model.
Basics of earthquake & structural and non structural guidelines for building ...Bhasker Vijaykumar Bhatt
The presentation covers the scenario post a hazard of Earthquake turned into a disaster. Further, it includes the basic terminology, dynamics of EQ event, and suggests remedial practices for structural and non-structural elements of a building. Purpose the compilation is to sensitize learners.
This document gives the class notes of Unit-8: Torsion of circular shafts and elastic stability of columns. Subject: Mechanics of materials.
Syllabus contest is as per VTU, Belagavi, India.
Notes Compiled By: Hareesha N Gowda, Assistant Professor, DSCE, Bengaluru-78.
Similar to Experimental investigation on circular hollow steel columns in filled with light weight concrete (with & without gfrp) under cyclic loading
Application of ann for ultimate shear strength of fly ash concrete beamseSAT Journals
Abstract
The application of artificial neural networks (ANN) for ultimate shear strength of fly ash concrete beams with transverse
reinforcement is investigated in this paper. An ANN model is built, trained and tested using the available test data of 216 RC beams
collected from the literature also the experimental data of twenty seven fly ash concrete beams under shear. The experimental shear
strength were also compared to those obtained using building codal equations and empirical equations proposed by various
researchers. The ANN model was found to predict satisfactorily when compared to available analytical predictions.
Keywords: Artificial Neural Network (ANN), Building codes, Comparison, Charts, Empirical Equations, Fly ash
Concrete, Shear Strength.
Application of ann for ultimate shear strength of fly ash concrete beamseSAT Journals
Abstract
The application of artificial neural networks (ANN) for ultimate shear strength of fly ash concrete beams with transverse
reinforcement is investigated in this paper. An ANN model is built, trained and tested using the available test data of 216 RC beams
collected from the literature also the experimental data of twenty seven fly ash concrete beams under shear. The experimental shear
strength were also compared to those obtained using building codal equations and empirical equations proposed by various
researchers. The ANN model was found to predict satisfactorily when compared to available analytical predictions.
Keywords: Artificial Neural Network (ANN), Building codes, Comparison, Charts, Empirical Equations, Fly ash
Concrete, Shear Strength.
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
Design of area and power efficient half adder using transmission gateeSAT Journals
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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
Design of c slotted microstrip antenna using artificial neural network modeleSAT Journals
Abstract In this paper, neural network model has been used to estimation of resonance frequency of a coaxial feed C-slotted Microstrip Antenna. The Multi-Layer Perceptron Feed forward back Propagation (MLPFFBP) and Radial basis function Artificial Neural Network (RBFANN) have been used to implement the neural network model. A relative performance analysis of the proposed neural network for different training algorithms. Number of neurons and number of hidden layer is also carried out for estimating the resonance frequency. The method of moment (MOM) based IE3D software was used to generate data dictionary for training and validation set of ANN. The results obtain using ANN are compared with simulation feeding and found quite satisfactory and also it is concluded that RBFANN network is more accurate and fast compared to MLPFFBP network algorithm. Index Terms: Artificial Neural Network, C slot, Microstrip Antenna, Multilayer Feed Forward Networks, Radial basis function Artificial Neural Network, Resonance frequency.
Effect of stiffeners on the lateral stiffness of infill frames with openingseSAT 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.
A study on modelling and simulation of photovoltaic cellseSAT Journals
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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
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.
Design, analysis and development of special purpose machine to carry heavy lo...eSAT Journals
Abstract
In the olden days very complicated thing is in the industry is to carry heavy loaded components and lifting from one place to another place, human effort needs lots of energy and it takes more time for same work, there are many huge and large amount of load lifting machine available, in that first started with gantry hoist and gantry cranes with which they carry heavy loads from one place to other, it works so far by the time but it can operate only in open place, in small scale industries it can’t work, during the period the need is new machine which works in small scale industries with good time, the changing the generation with the new technology industries are planned to develop the special purpose machine which is used to lift the heavy loads. Structural analysis of the “Gantry Structure” has been carried out to find the mechanical response of the structure, subjected to applied loads and boundary conditions. The results include deformed shape of the structure, displacements at required locations. Modal analysis done for checking the model, Gravity Loading Applied for different position and checked for the deformation of Solid Beam for different position. Optimization is done to reduce the cost of the structure. The response of the structure got by structural analysis using MSC Nastran.
Keywords: Gantry, Types of gantry, Structural analysis, optimization, modal analysis, HyperMesh, NASTRAN.
Design, analysis and development of special purpose machine to carry heavy lo...eSAT Journals
Abstract
In the olden days very complicated thing is in the industry is to carry heavy loaded components and lifting from one place to another place, human effort needs lots of energy and it takes more time for same work, there are many huge and large amount of load lifting machine available, in that first started with gantry hoist and gantry cranes with which they carry heavy loads from one place to other, it works so far by the time but it can operate only in open place, in small scale industries it can’t work, during the period the need is new machine which works in small scale industries with good time, the changing the generation with the new technology industries are planned to develop the special purpose machine which is used to lift the heavy loads. Structural analysis of the “Gantry Structure” has been carried out to find the mechanical response of the structure, subjected to applied loads and boundary conditions. The results include deformed shape of the structure, displacements at required locations. Modal analysis done for checking the model, Gravity Loading Applied for different position and checked for the deformation of Solid Beam for different position. Optimization is done to reduce the cost of the structure. The response of the structure got by structural analysis using MSC Nastran.
Seismic evelution of rc space frame with rectangular and equivalent square co...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
Optimization of prestressed concrete girdereSAT Journals
Abstract Bridge construction today has achieved a worldwide level of importance. Bridges are the key elements in any road network Use of prestressed concrete I girder bridge is gaining popularity in bridge engineering fraternity because of its better stability, serviceability, economy, aesthetic appearance and structural efficiency. This paper concerned idea about prestressed concrete.In the method of prestressing two types are consider that pre tensioning and post tensioning .At the time of prestressing different losses are consider. These are the losses due to elastic shortening, friction losses, relaxation losses, losses due to creep and shrinkage. In this way total amount of losses in pretensioning and post tensioning calculate and detailed information has given in this report. The objective is to minimize the total cost in the design process of the bridge system considering the cost of materials like steel, concrete, tendons etc. For a particular problem the design variables considered for the cost minimization of the bridge system, are depth of girder, various cross sectional dimensions of the girder, number of tendons, A programme is developed for analysis and designing an low cost prestressed girder in MATLAB R2010a software. The optimtool is used to find out minimum cost of structure Illustrative case of prestressed girder presented and discuss by using active set method from optimtool. Optimization problem is characterized by considering design variables and bound constraints are according to AASHTOO Standards ,IRC 21-2000 bridge specifications .The proposed cost optimization approach is compared with an existing project which leads to a considerable cost saving while resulting in feasible design. Keywords: Post tension I girder, Conventional design, Optimal design, MATLAB Software etc…
Effect of variation of plastic hinge length on the results of non linear anal...eSAT Journals
Abstract The nonlinear Static procedure also well known as pushover analysis is method where in monotonically increasing loads are applied to the structure till the structure is unable to resist any further load. It is a popular tool for seismic performance evaluation of existing and new structures. In literature lot of research has been carried out on conventional pushover analysis and after knowing deficiency efforts have been made to improve it. But actual test results to verify the analytically obtained pushover results are rarely available. It has been found that some amount of variation is always expected to exist in seismic demand prediction of pushover analysis. Initial study is carried out by considering user defined hinge properties and default hinge length. Attempt is being made to assess the variation of pushover analysis results by considering user defined hinge properties and various hinge length formulations available in literature and results compared with experimentally obtained results based on test carried out on a G+2 storied RCC framed structure. For the present study two geometric models viz bare frame and rigid frame model is considered and it is found that the results of pushover analysis are very sensitive to geometric model and hinge length adopted. Keywords: Pushover analysis, Base shear, Displacement, hinge length, moment curvature analysis
Effect of variation of plastic hinge length on the results of non linear anal...eSAT Journals
Abstract The nonlinear Static procedure also well known as pushover analysis is method where in monotonically increasing loads are applied to the structure till the structure is unable to resist any further load. It is a popular tool for seismic performance evaluation of existing and new structures. In literature lot of research has been carried out on conventional pushover analysis and after knowing deficiency efforts have been made to improve it. But actual test results to verify the analytically obtained pushover results are rarely available. It has been found that some amount of variation is always expected to exist in seismic demand prediction of pushover analysis. Initial study is carried out by considering user defined hinge properties and default hinge length. Attempt is being made to assess the variation of pushover analysis results by considering user defined hinge properties and various hinge length formulations available in literature and results compared with experimentally obtained results based on test carried out on a G+2 storied RCC framed structure. For the present study two geometric models viz bare frame and rigid frame model is considered and it is found that the results of pushover analysis are very sensitive to geometric model and hinge length adopted. Keywords: Pushover analysis, Base shear, Displacement, hinge length, moment curvature analysis
Similar to Experimental investigation on circular hollow steel columns in filled with light weight concrete (with & without gfrp) under cyclic loading (20)
Mechanical properties of hybrid fiber reinforced concrete for pavementseSAT Journals
Abstract
The effect of addition of mono fibers and hybrid fibers on the mechanical properties of concrete mixture is studied in the present
investigation. Steel fibers of 1% and polypropylene fibers 0.036% were added individually to the concrete mixture as mono fibers and
then they were added together to form a hybrid fiber reinforced concrete. Mechanical properties such as compressive, split tensile and
flexural strength were determined. The results show that hybrid fibers improve the compressive strength marginally as compared to
mono fibers. Whereas, hybridization improves split tensile strength and flexural strength noticeably.
Keywords:-Hybridization, mono fibers, steel fiber, polypropylene fiber, Improvement in mechanical properties.
Material management in construction – a case studyeSAT Journals
Abstract
The objective of the present study is to understand about all the problems occurring in the company because of improper application
of material management. In construction project operation, often there is a project cost variance in terms of the material, equipments,
manpower, subcontractor, overhead cost, and general condition. Material is the main component in construction projects. Therefore,
if the material management is not properly managed it will create a project cost variance. Project cost can be controlled by taking
corrective actions towards the cost variance. Therefore a methodology is used to diagnose and evaluate the procurement process
involved in material management and launch a continuous improvement was developed and applied. A thorough study was carried
out along with study of cases, surveys and interviews to professionals involved in this area. As a result, a methodology for diagnosis
and improvement was proposed and tested in selected projects. The results obtained show that the main problem of procurement is
related to schedule delays and lack of specified quality for the project. To prevent this situation it is often necessary to dedicate
important resources like money, personnel, time, etc. To monitor and control the process. A great potential for improvement was
detected if state of the art technologies such as, electronic mail, electronic data interchange (EDI), and analysis were applied to the
procurement process. These helped to eliminate the root causes for many types of problems that were detected.
Managing drought short term strategies in semi arid regions a case studyeSAT Journals
Abstract
Drought management needs multidisciplinary action. Interdisciplinary efforts among the experts in various fields of the droughts
prone areas are helpful to achieve tangible and permanent solution for this recurring problem. The Gulbarga district having the total
area around 16, 240 sq.km, and accounts 8.45 per cent of the Karnataka state area. The district has been situated with latitude 17º 19'
60" North and longitude of 76 º 49' 60" east. The district is situated entirely on the Deccan plateau positioned at a height of 300 to
750 m above MSL. Sub-tropical, semi-arid type is one among the drought prone districts of Karnataka State. The drought
management is very important for a district like Gulbarga. In this paper various short term strategies are discussed to mitigate the
drought condition in the district.
Keywords: Drought, South-West monsoon, Semi-Arid, Rainfall, Strategies etc.
Life cycle cost analysis of overlay for an urban road in bangaloreeSAT Journals
Abstract
Pavements are subjected to severe condition of stresses and weathering effects from the day they are constructed and opened to traffic
mainly due to its fatigue behavior and environmental effects. Therefore, pavement rehabilitation is one of the most important
components of entire road systems. This paper highlights the design of concrete pavement with added mono fibers like polypropylene,
steel and hybrid fibres for a widened portion of existing concrete pavement and various overlay alternatives for an existing
bituminous pavement in an urban road in Bangalore. Along with this, Life cycle cost analyses at these sections are done by Net
Present Value (NPV) method to identify the most feasible option. The results show that though the initial cost of construction of
concrete overlay is high, over a period of time it prove to be better than the bituminous overlay considering the whole life cycle cost.
The economic analysis also indicates that, out of the three fibre options, hybrid reinforced concrete would be economical without
compromising the performance of the pavement.
Keywords: - Fatigue, Life cycle cost analysis, Net Present Value method, Overlay, Rehabilitation
Laboratory studies of dense bituminous mixes ii with reclaimed asphalt materialseSAT Journals
Abstract
The issue of growing demand on our nation’s roadways over that past couple of decades, decreasing budgetary funds, and the need to
provide a safe, efficient, and cost effective roadway system has led to a dramatic increase in the need to rehabilitate our existing
pavements and the issue of building sustainable road infrastructure in India. With these emergency of the mentioned needs and this
are today’s burning issue and has become the purpose of the study.
In the present study, the samples of existing bituminous layer materials were collected from NH-48(Devahalli to Hassan) site.The
mixtures were designed by Marshall Method as per Asphalt institute (MS-II) at 20% and 30% Reclaimed Asphalt Pavement (RAP).
RAP material was blended with virgin aggregate such that all specimens tested for the, Dense Bituminous Macadam-II (DBM-II)
gradation as per Ministry of Roads, Transport, and Highways (MoRT&H) and cost analysis were carried out to know the economics.
Laboratory results and analysis showed the use of recycled materials showed significant variability in Marshall Stability, and the
variability increased with the increase in RAP content. The saving can be realized from utilization of recycled materials as per the
methodology, the reduction in the total cost is 19%, 30%, comparing with the virgin mixes.
Keywords: Reclaimed Asphalt Pavement, Marshall Stability, MS-II, Dense Bituminous Macadam-II
Laboratory investigation of expansive soil stabilized with natural inorganic ...eSAT Journals
Abstract
Soil stabilization has proven to be one of the oldest techniques to improve the soil properties. Literature review conducted revealed
that uses of natural inorganic stabilizers are found to be one of the best options for soil stabilization. In this regard an attempt has
been made to evaluate the influence of RBI-81 stabilizer on properties of black cotton soil through laboratory investigations. Black
cotton soil with varying percentages of RBI-81 viz., 0, 0.5, 1, 1.5, 2, and 2.5 percent were studied for moisture density relationships
and strength behaviour of soils. Also the effect of curing period was evaluated as literature review clearly emphasized the strength
gain of soils stabilized with RBI-81 over a period of time. The results obtained shows that the unconfined compressive strength of
specimens treated with RBI-81 increased approximately by 250% for a curing period of 28 days as compared to virgin soil. Further
the CBR value improved approximately by 400%. The studies indicated an increasing trend for soil strength behaviour with
increasing percentage of RBI-81 suggesting its potential applications in soil stabilization.
Influence of reinforcement on the behavior of hollow concrete block masonry p...eSAT Journals
Abstract
Reinforced masonry was developed to exploit the strength potential of masonry and to solve its lack of tensile strength. Experimental
and analytical studies have been carried out to investigate the effect of reinforcement on the behavior of hollow concrete block
masonry prisms under compression and to predict ultimate failure compressive strength. In the numerical program, three dimensional
non-linear finite elements (FE) model based on the micro-modeling approach is developed for both unreinforced and reinforced
masonry prisms using ANSYS (14.5). The proposed FE model uses multi-linear stress-strain relationships to model the non-linear
behavior of hollow concrete block, mortar, and grout. Willam-Warnke’s five parameter failure theory has been adopted to model the
failure of masonry materials. The comparison of the numerical and experimental results indicates that the FE models can successfully
capture the highly nonlinear behavior of the physical specimens and accurately predict their strength and failure mechanisms.
Keywords: Structural masonry, Hollow concrete block prism, grout, Compression failure, Finite element method,
Numerical modeling.
Influence of compaction energy on soil stabilized with chemical stabilizereSAT Journals
Abstract
Increase in traffic along with heavier magnitude of wheel loads cause rapid deterioration in pavements. There is a need to improve
density, strength of soil subgrade and other pavement layers. In this study an attempt is made to improve the properties of locally
available loamy soil using twin approaches viz., i) increasing the compaction of soil and ii) treating the soil with chemical stabilizer.
Laboratory studies are carried out on both untreated and treated soil samples compacted by different compaction efforts. Studies
show that increase in compaction effort results in increase in density of soil. However in soil treated with chemical stabilizer, rate of
increase in density is not significant. The soil treated with chemical stabilizer exhibits improvement in both strength and performance
properties.
Keywords: compaction, density, subgradestabilization, resilient modulus
Geographical information system (gis) for water resources managementeSAT Journals
Abstract
Water resources projects are inherited with overlapping and at times conflicting objectives. These projects are often of varied sizes
ranging from major projects with command areas of millions of hectares to very small projects implemented at the local level. Thus,
in all these projects there is seldom proper coordination which is essential for ensuring collective sustainability.
Integrated watershed development and management is the accepted answer but in turn requires a comprehensive framework that can
enable planning process involving all the stakeholders at different levels and scales is compulsory. Such a unified hydrological
framework is essential to evaluate the cause and effect of all the proposed actions within the drainage basins.
The present paper describes a hydrological framework developed in the form of a Hydrologic Information System (HIS) which is
intended to meet the specific information needs of the various line departments of a typical State connected with water related aspects.
The HIS consist of a hydrologic information database coupled with tools for collating primary and secondary data and tools for
analyzing and visualizing the data and information. The HIS also incorporates hydrological model base for indirect assessment of
various entities of water balance in space and time. The framework would be maintained and updated to reflect fully the most
accurate ground truth data and the infrastructure requirements for planning and management.
Keywords: Hydrological Information System (HIS); WebGIS; Data Model; Web Mapping Services
Forest type mapping of bidar forest division, karnataka using geoinformatics ...eSAT Journals
Abstract
The study demonstrate the potentiality of satellite remote sensing technique for the generation of baseline information on forest types
including tree plantation details in Bidar forest division, Karnataka covering an area of 5814.60Sq.Kms. The Total Area of Bidar
forest division is 5814Sq.Kms analysis of the satellite data in the study area reveals that about 84% of the total area is Covered by
crop land, 1.778% of the area is covered by dry deciduous forest, 1.38 % of mixed plantation, which is very threatening to the
environmental stability of the forest, future plantation site has been mapped. With the use of latest Geo-informatics technology proper
and exact condition of the trees can be observed and necessary precautions can be taken for future plantation works in an appropriate
manner
Keywords:-RS, GIS, GPS, Forest Type, Tree Plantation
Factors influencing compressive strength of geopolymer concreteeSAT Journals
Abstract
To study effects of several factors on the properties of fly ash based geopolymer concrete on the compressive strength and also the
cost comparison with the normal concrete. The test variables were molarities of sodium hydroxide(NaOH) 8M,14M and 16M, ratio of
NaOH to sodium silicate (Na2SiO3) 1, 1.5, 2 and 2.5, alkaline liquid to fly ash ratio 0.35 and 0.40 and replacement of water in
Na2SiO3 solution by 10%, 20% and 30% were used in the present study. The test results indicated that the highest compressive
strength 54 MPa was observed for 16M of NaOH, ratio of NaOH to Na2SiO3 2.5 and alkaline liquid to fly ash ratio of 0.35. Lowest
compressive strength of 27 MPa was observed for 8M of NaOH, ratio of NaOH to Na2SiO3 is 1 and alkaline liquid to fly ash ratio of
0.40. Alkaline liquid to fly ash ratio of 0.35, water replacement of 10% and 30% for 8 and 16 molarity of NaOH and has resulted in
compressive strength of 36 MPa and 20 MPa respectively. Superplasticiser dosage of 2 % by weight of fly ash has given higher
strength in all cases.
Keywords: compressive strength, alkaline liquid, fly ash
Experimental behavior of circular hsscfrc filled steel tubular columns under ...eSAT Journals
Abstract
This paper presents an outlook on experimental behavior and a comparison with predicted formula on the behaviour of circular
concentrically loaded self-consolidating fibre reinforced concrete filled steel tube columns (HSSCFRC). Forty-five specimens were
tested. The main parameters varied in the tests are: (1) percentage of fiber (2) tube diameter or width to wall thickness ratio (D/t
from 15 to 25) (3) L/d ratio from 2.97 to 7.04 the results from these predictions were compared with the experimental data. The
experimental results) were also validated in this study.
Keywords: Self-compacting concrete; Concrete-filled steel tube; axial load behavior; Ultimate capacity.
Evaluation of punching shear in flat slabseSAT Journals
Abstract
Flat-slab construction has been widely used in construction today because of many advantages that it offers. The basic philosophy in
the design of flat slab is to consider only gravity forces; this method ignores the effect of punching shear due to unbalanced moments
at the slab column junction which is critical. An attempt has been made to generate generalized design sheets which accounts both
punching shear due to gravity loads and unbalanced moments for cases (a) interior column; (b) edge column (bending perpendicular
to shorter edge); (c) edge column (bending parallel to shorter edge); (d) corner column. These design sheets are prepared as per
codal provisions of IS 456-2000. These design sheets will be helpful in calculating the shear reinforcement to be provided at the
critical section which is ignored in many design offices. Apart from its usefulness in evaluating punching shear and the necessary
shear reinforcement, the design sheets developed will enable the designer to fix the depth of flat slab during the initial phase of the
design.
Keywords: Flat slabs, punching shear, unbalanced moment.
Evaluation of performance of intake tower dam for recent earthquake in indiaeSAT Journals
Abstract
Intake towers are typically tall, hollow, reinforced concrete structures and form entrance to reservoir outlet works. A parametric
study on dynamic behavior of circular cylindrical towers can be carried out to study the effect of depth of submergence, wall thickness
and slenderness ratio, and also effect on tower considering dynamic analysis for time history function of different soil condition and
by Goyal and Chopra accounting interaction effects of added hydrodynamic mass of surrounding and inside water in intake tower of
dam
Key words: Hydrodynamic mass, Depth of submergence, Reservoir, Time history analysis,
Evaluation of operational efficiency of urban road network using travel time ...eSAT Journals
Abstract
Efficiency of the road network system is analyzed by travel time reliability measures. The study overlooks on an important measure of
travel time reliability and prioritizing Tiruchirappalli road network. Traffic volume and travel time were collected using license plate
matching method. Travel time measures were estimated from average travel time and 95th travel time. Effect of non-motorized vehicle
on efficiency of road system was evaluated. Relation between buffer time index and traffic volume was created. Travel time model has
been developed and travel time measure was validated. Then service quality of road sections in network were graded based on
travel time reliability measures.
Keywords: Buffer Time Index (BTI); Average Travel Time (ATT); Travel Time Reliability (TTR); Buffer Time (BT).
Estimation of surface runoff in nallur amanikere watershed using scs cn methodeSAT Journals
Abstract
The development of watershed aims at productive utilization of all the available natural resources in the entire area extending from
ridge line to stream outlet. The per capita availability of land for cultivation has been decreasing over the years. Therefore, water and
the related land resources must be developed, utilized and managed in an integrated and comprehensive manner. Remote sensing and
GIS techniques are being increasingly used for planning, management and development of natural resources. The study area, Nallur
Amanikere watershed geographically lies between 110 38’ and 110 52’ N latitude and 760 30’ and 760 50’ E longitude with an area of
415.68 Sq. km. The thematic layers such as land use/land cover and soil maps were derived from remotely sensed data and overlayed
through ArcGIS software to assign the curve number on polygon wise. The daily rainfall data of six rain gauge stations in and around
the watershed (2001-2011) was used to estimate the daily runoff from the watershed using Soil Conservation Service - Curve Number
(SCS-CN) method. The runoff estimated from the SCS-CN model was then used to know the variation of runoff potential with different
land use/land cover and with different soil conditions.
Keywords: Watershed, Nallur watershed, Surface runoff, Rainfall-Runoff, SCS-CN, Remote Sensing, GIS.
Estimation of morphometric parameters and runoff using rs & gis techniqueseSAT Journals
Abstract
Land and water are the two vital natural resources, the optimal management of these resources with minimum adverse environmental
impact are essential not only for sustainable development but also for human survival. Satellite remote sensing with geographic
information system has a pragmatic approach to map and generate spatial input layers of predicting response behavior and yield of
watershed. Hence, in the present study an attempt has been made to understand the hydrological process of the catchment at the
watershed level by drawing the inferences from moprhometric analysis and runoff. The study area chosen for the present study is
Yagachi catchment situated in Chickamaglur and Hassan district lies geographically at a longitude 75⁰52’08.77”E and
13⁰10’50.77”N latitude. It covers an area of 559.493 Sq.km. Morphometric analysis is carried out to estimate morphometric
parameters at Micro-watershed to understand the hydrological response of the catchment at the Micro-watershed level. Daily runoff
is estimated using USDA SCS curve number model for a period of 10 years from 2001 to 2010. The rainfall runoff relationship of the
study shows there is a positive correlation.
Keywords: morphometric analysis, runoff, remote sensing and GIS, SCS - method
-
Effect of use of recycled materials on indirect tensile strength of asphalt c...eSAT Journals
Abstract
Depletion of natural resources and aggregate quarries for the road construction is a serious problem to procure materials. Hence
recycling or reuse of material is beneficial. On emphasizing development in sustainable construction in the present era, recycling of
asphalt pavements is one of the effective and proven rehabilitation processes. For the laboratory investigations reclaimed asphalt
pavement (RAP) from NH-4 and crumb rubber modified binder (CRMB-55) was used. Foundry waste was used as a replacement to
conventional filler. Laboratory tests were conducted on asphalt concrete mixes with 30, 40, 50, and 60 percent replacement with RAP.
These test results were compared with conventional mixes and asphalt concrete mixes with complete binder extracted RAP
aggregates. Mix design was carried out by Marshall Method. The Marshall Tests indicated highest stability values for asphalt
concrete (AC) mixes with 60% RAP. The optimum binder content (OBC) decreased with increased in RAP in AC mixes. The Indirect
Tensile Strength (ITS) for AC mixes with RAP also was found to be higher when compared to conventional AC mixes at 300C.
Keywords: Reclaimed asphalt pavement, Foundry waste, Recycling, Marshall Stability, Indirect tensile strength.
Effect of skew angle on static behaviour of reinforced concrete slab bridge d...eSAT Journals
Abstract
The effect of a skew angle on single-span reinforced concrete bridges is analyzed using the finite-element method and the results are
presented in this paper. Investigations are carried out on RC slab bridge decks with and without edge beams to study the influence of
aspect ratio, skew angle and type of load. The finite-element analysis results for skewed bridges are compared to the reference
straight bridges for dead load, IRC Class A loading and IRC 70R loading for with and without edge beam. A total of 90 bridge models
are analyzed. The variation of maximum deflection, maximum longitudinal sagging bending moment, maximum torsional moment, and
maximum support reaction with skew angle is studied for all 90 bridge deck models. The FEA results of Dead load and Live load
bending moments and deflections decreases with increase in skew angle, where as maximum support reactions increases with increase
in skew angle and the maximum torsional moment increases with skew angle up to 45 degrees and there after decreases. The benefit
of providing edge beam is reflected in significant decrease in deflection, longitudinal bending moment and torsional moment.
Keywords: Bridges, skew angle; Concrete slabs; Finite element method; span length; dead load; IRC Class A loading
and IRC Class 70R loading.
Earthquake analysis on 2 d rc frames with different aspect ratios of masonry ...eSAT Journals
Abstract
RC structures are one of the most famous and most utilized types of construction throughout the world. The wall panels for this type of
structures usually are made of masonry infill or monolithic RC panels. In this paper, earthquake analysis of a typical 2D-RC frame is
carried out. Masonry infill is modeled as equivalent diagonal strut and monolithic panel is modeled as shell element. Modal analysis
is carried out on the models and the results are compared with the shake table tests conducted at Central Power Research Institute
(CPRI), Bangalore to validate the models. Earthquake analysis is continued with equivalent static, response spectrum and time history
analyses for all the zones (II-V) as per IS: 1893(Part-1):2002. The analysis results such as natural frequency, displacement, interstorey
drift and acceleration are tabulated, compared and conclusions are drawn.
Key words: 2D-RC Frame, Masonry Infill, Monolithic wall, Shake table, Natural Frequency, Modal analysis, Response
spectrum, Equivalent Diagonal Strut, Time History, Inter-Storey drift.
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Palestine last event orientationfvgnh .pptxRaedMohamed3
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Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
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Experimental investigation on circular hollow steel columns in filled with light weight concrete (with & without gfrp) under cyclic loading
1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
IC-RICE Conference Issue | Nov-2013, Available @ http://www.ijret.org 116
EXPERIMENTAL INVESTIGATION ON CIRCULAR HOLLOW STEEL
COLUMNS IN-FILLED WITH LIGHT WEIGHT CONCRETE (WITH &
WITHOUT GFRP) UNDER CYCLIC LOADING
Syed Murtuza1
, N.S.Kumar2
1
Post Graduate Student –Structural Engineering,2
Professor & Director (R&D-Civil Engg.), Department of Civil
Engineering, Ghousia College of Engineering, Ramanagara,, Karnataka, India.
Syedmurtuza099@Gmail.com, drkumarns@gmail.com
Abstract
Composite Circular hollow Steel tubes with and without GFRP infill for three different grades of Light weight concrete are tested for
ultimate load capacity and axial shortening , under Cyclic loading. Steel tubes are compared for different lengths, cross sections and
thickness. Specimens were tested separately after adopting Taguchi’s L9 (Latin Squares) Orthogonal array in order to save the initial
experimental cost on number of specimens and experimental duration. Analysis was carried out using ANN (Artificial Neural
Network) technique with the assistance of Mini Tab- a statistical soft tool. Comparison for predicted, experimental & ANN output is
obtained from linear regression plots. From this research study, it can be concluded that *Cross sectional area of steel tube has most
significant effect on ultimate load carrying capacity, *as length of steel tube increased- load carrying capacity decreased & *ANN
modeling predicted acceptable results. Thus ANN tool can be utilized for predicting ultimate load carrying capacity for composite
columns.
Keywords: Light weight concrete, GFRP, Artificial Neural Network, Linear Regression, Back propagation, orthogonal
Array, Latin Squares
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1. INTRODUCTION
Columns occupy a vital place in the structural system.
Weakness or failure of a column destabilizes the entire
structure. Strength & ductility of steel columns need to be
ensured through adequate strengthening, repair &
rehabilitation techniques to maintain adequate structural
performance.
Recently, composite columns are finding a lot of usage for
seismic resistance. In order to prevent shear failure of RC
column resulting in storey collapse of building, it is necessary
to make ductility of columns larger. Recently, most of
building utilizes this Concrete Filled tubes (CFT) concept as
primary for lateral load resisting frames. The concrete used for
encasing the structural steel section not only enhances its
strength & stiffness, but also protects it from fire damages
Fig1.Composite columns
2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
IC-RICE Conference Issue | Nov-2013, Available @ http://www.ijret.org 117
As the light weight concrete has lesser density (300kg/m3-
1850kg/m3) than conventional concrete density (2200kg/m3-
2600kg/m3) it will have ease of handling, transporting &
reduced dead load in case of High rise building. Also its
cellular structural arrangement helps in good insulation from
heat & sound.
In order to reveal the performance of CFT columns, specimens
will be designed for axial compression cyclic loading. The
Concrete that will be considered is Light weight concrete for
infill in steel tubes.
Based on these factors, failure patterns & influence of Light
weight concrete slenderness ratio to Ultimate load ratio,
Energy absorption capacity, & Modulus of resilience are
analyzed. Practical importance of this study is in the
application of this system to “seismic resistance structures
prone to earthquakes”.
The experimental investigation focuses on modes of failure &
the most significant factor affecting the experiment with the
help of Taghuchi’s method. The equation can be generated to
find the Ultimate load carrying capacity. Axial shortening &
ultimate stress carrying capacity of the column. Prediction of
LCC can be done using NEURO Solutions: Artificial Neural
Network Tool Box (MAT lab).
2. ARTIFICIAL NEURAL NETWORK
2.1 Introduction
One way of including specimen irregularities in the model is
to use the results of the available experiments to predict the
behavior of composite tubes subjected to different loading.
Artificial Neural Network (ANN) is a technique that uses
existing experimental data to predict the behavior of the same
material under different testing conditions.
In the current work, the prediction of the load-carrying
capacities for axially cyclic loaded Circular & Square
composite tubes is evaluated using ANN. To test the validity
of using ANN in determining the crushing behavior of these
tubes, the study will compare the predictions obtained to the
experimental results using the neural network tool in
MATLAB v7.12 (R2011a).
ANN have emerged as a useful concept from the field of
artificial intelligence, and has been used successfully over the
past decade in modeling engineering problems in general, and
specifically those relating to the mechanism behavior of
composite materials.
ANN generally consists of a number of layers: the layer where
the patterns are applied is called input layer. This layer could
typically include the properties of the composite material
under consideration, its layup, the applied load, the tube aspect
ratio etc. The layer where the output is obtained is the output
layer which could, for example, contain the resulting
deformation of this tube under the given loading conditions. In
addition, there may be one or more layers between the input
and output layers called hidden layers, which are so named
because their outputs are not directly observable. The addition
of hidden layers enables the network to extract high-order
statistics which are particularly valuable when the size of the
input is very large. Neurons in each layer are interconnected to
preceding and subsequent layer neurons with each
interconnection having an associated weight.
A training algorithm is commonly used to iteratively minimize
a cost function with respect to the interconnection weights and
neuron thresholds. The training process is terminated either
when the Mean Square Error (MSE) between the observed
data and the ANN outcomes for all elements in the training set
has reached a pre-specified threshold or after the completion
of a pre-specified number of learning epochs.
2.2 Kolmogorov’s Theorem
Any continuous real-valued functions f (x1, x2, ..., xn) defined
on [0, 1]n, , can be represented in the form
f(x1, x2, ..., xn) =
Fig2
Where the gj's are properly chosen continuous functions of
one variable, and the ij's are continuous monotonically
increasing functions independent of f.
Fig2 (a): Block diagram of feed forward network
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Given any function
yxRI mn
=→ )(,: φφ , where I is the
closed unit interval [0,1], can be implemented exactly by a
three layer neural network with n input nodes, 2n+1 hidden
layer neurons and m output layer neurons, as represented in
figure.
2.3 Multilayer Neural Network Architecture
2.3.1 Neuron Model
An elementary neuron with R inputs is shown below. Each
input is weighted with an appropriate w. The sum of the
weighted inputs and the bias forms the input to the transfer
function f. Neurons can use any differentiable transfer
function f to generate their output.
Fig3.Neuron model
Multilayer networks represented in figure3, can use the tan-
sigmoid transfer function tansig as shown in figure2. Sigmoid
output neurons are often used for pattern recognition
problems, while linear output neurons are used for function
fitting problems. The linear transfer function purelin as shown
in figure2
2.4 Train the Network
Once the network weights and biases are initialized, the
network is ready for training. The multilayer feedforward
network can be trained for function approximation (nonlinear
regression) or pattern recognition. The training process
requires a set of examples of proper network behavior—
network inputs p and target outputs t.
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The process of training a neural network involves tuning the
values of the weights and biases of the network to optimize
network performance, as defined by the network performance
function net.performFcn. The default performance function for
feed forward networks is mean square error mse—the average
squared error between the network outputs a and the target
outputs t. It is defined as follows:
There are two different ways in which training can be
implemented: incremental mode and batch mode. In
incremental mode, the gradient is computed and the weights
are updated after each input is applied to the network. In batch
mode, all the inputs in the training set are applied to the
network before the weights are updated. This chapter
describes batch mode training with the train command.
Incremental training with the adapt command is discussed in
Incremental Training with adapt and in Adaptive Filters and
Adaptive Training. For most problems, when using the Neural
Network Toolbox software, batch training is significantly
faster and produces smaller errors than incremental training.
For training multilayer feed forward networks, any standard
numerical optimization algorithm can be used to optimize the
performance function, but there are a few key ones that have
shown excellent performance for neural network training.
These optimization methods use either the gradient of the
network performance with respect to the network weights, or
the Jacobian of the network errors with respect to the weights.
The gradient and the Jacobian are calculated using a technique
called the back propagation algorithm, which involves
performing computations backward through the network. The
back propagation computation is derived using the chain rule
of calculus.
2.5 Network Properties
The network type is feed forward back propagation. The
training function is levenberg-marquardt algorithm. The
performance function is mean square error. The transfer
function is tan-sigmoidal and purelin (Fig.4).
3. WORK FLOW
The work flow for the general neural network design process
has seven primary steps:
1. Collect data
2. Create the network
3. Configure the network
4. Initialize the weights and biases
5. Train the network
6. Validate the network (post-training analysis)
7. Use the network
4. PREDICTION AND EXPERIMENTAL
RESULTS
Depicts the Linear-Sigmoidal (linsig) and Tan-Sigmoidal
(tansig) functions used to build the model and train the
network. The output is trained separately for both ultimate
load and axial shortening load. Also the best values of
prediction are obtained for 11 layers.
The experimental results which are obtained are given as the
desired outputs to the feed forward back propagation network .
These results were used to predict the output values and were
in good agreement with the Kolmogorov’s theorem. The
output values and the deviations are obtained were tested and
validated from 3 hidden layers to 14 hidden layers.
5. METHODOLOGY
5.1 Taguchi’s Method
Taguchi started to develop new method to optimize
the process of engineering experimentation
Taguchi’s constructed a special set of Orthogonal
Arrays to layout his experiments to study the effect of
several control factors
In view of saving time & material cost in
experimentation lesser number of experiment is
desired thus Taguchi’s method is best suitable to find
proper combination with minimum experimentations
5.1.1 Steps involved in Taguchi’s Design
A Taguchi’s design or an Orthogonal array is a
method of designing experiment that usually requires
only a fraction of full factorial combinations
An orthogonal array means the design is balanced so
that factor levels are weighted equally. because of
this , each factor can be evaluated independently of
all the other factors, so the effect of one factor does
not influence the estimation of the other factor
In robust parameter deign you first choose factors &
their levels & choose an orthogonal array appropriate
for these control factors. The factors comprise the
inner array
The experiment is carried out by running the
complete set of noise factor setting at each
combinations of control factors(at each run)
The response data from each run of the noise factor
in the outer array are usually aligned in a row
Each column in the orthogonal array represent a
specific factor with two or more levels
The following table displays the L8(2**7) Taguchi’s
design. L8 means 8runs (2**7) means 7 factors with
2 levels each
This array is orthogonal factor levels are weighted
equally across the entire design. The table columns
represent the control factors the table rows represent
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the runs & each table cell represent the factor levels
for that run.
A Case Study
For 3 Factors With 3 levels in General Design
=33
X3 (LF
X 3 Levels ) = 81
For 3 Factors with 3 levels in Taguchi’s Design
=9 Combinations X 3 Levels = 27, Save =66.66 %
For 4 Factors With 3 levels in General Design
=34
X3 (LF
)X 3 Levels =243
For 3 Factors with 3 levels in Taguchi’s Design
=9 Combinations X 3 Levels = 27, Save =88.89%
Taguchi’s Design L9 (2**7)
6. EQUIPMENTS & EXPERIMENTAL PROGRAM
Cutter ,Grinding machine ,weighing machine
Tamping rod 200ton Cyclic Loading Machine: to
c
o
n
d
u
ct the Cyclic loading tests on all Specimens
Fig4. 200T Cyclic Testing Machine
Columns
Run 1 2 3 4
1 1 1 1 1
2 1 2 2 2
3 1 3 3 3
4 2 1 2 3
5 2 2 3 1
6 2 3 1 2
7 3 1 3 2
8 3 2 1 3
9 3 3 2 1
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7. TESTS & ANALYSIS:
For Each Model, from every test following reading will
recorded
Load variation from load gauge in KN, Deflection in mm &
Stress in N/mm2
7.1 Graphical Analysis:
Load vs Length & Stress vs Strain
Fig5. Specimens failure after testing
Table1. Test Result values
LENGTH
mm
DIA
mm
THICKNESS
mm GRADE
%
GFRP D/t L/D Fy Pu KN ∆mm
270.00 33.70 2.60 - - 12.96 8.01 310.00 43.20 5.53
270.00 48.30 2.90 Empty - 16.66 5.59 310.00 72.40 11.45
270.00 60.80 3.20 - - 19.00 4.44 310.00 82.40 12.60
270.00 33.70 2.60 20.00 0.00 12.96 8.01 310.00 108.00 6.18
270.00 48.30 2.90 20.00 0.50 16.66 5.59 310.00 181.00 12.10
270.00 60.80 3.20 20.00 1.00 19.00 4.44 310.00 206.00 13.25
435.00 33.70 2.60 - - 12.96 12.91 310.00 48.60 4.55
435.00 48.30 2.90 Empty - 16.66 9.01 310.00 49.80 4.55
435.00 60.80 3.20 - - 19.00 7.15 310.00 53.40 5.07
435.00 33.70 2.60 20.00 0.00 12.96 12.91 310.00 81.00 5.00
435.00 48.30 2.90 20.00 0.50 16.66 9.01 310.00 83.00 5.00
435.00 60.80 3.20 20.00 1.00 19.00 7.15 310.00 89.00 5.52
603.00 33.70 2.60 - - 12.96 17.89 310.00 49.70 3.42
603.00 48.30 2.90 Empty - 16.66 12.48 310.00 93.80 7.22
603.00 60.80 3.20 - - 19.00 9.92 310.00 98.00 7.45
603.00 33.70 2.60 20.00 0.00 12.96 17.89 310.00 71.00 3.72
603.00 48.30 2.90 20.00 0.50 16.66 12.48 310.00 134.00 7.52
603.00 60.80 3.20 20.00 1.00 19.00 9.92 310.00 140.00 7.75
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Figure7. Error b/w Actual Pu & PANN Values
Figure8. Load V/s Deflection
Figure9 Load V/s Length
L o a d V s D e fle c tio n
2 7 0 ,6 0 ,1 % M 3 0
2 7 0 ,3 3 ,0 % M 3 0
2 7 0 ,4 8 ,0 .5 % ,M 3 0
2 2 .5 3 3 .5 4 4 .5 5 5 .5 6 6 .5 7 7 .5 8 8 .5 9 9 .5 1 0 1 0 .5 1 1 1 1 .5 1 2 1 2 .5 1 3 1 3 .5 1 4 1 4 .5
6 0
8 0
1 0 0
1 2 0
1 4 0
1 6 0
1 8 0
D e fle c tio n m m
L o a d K N
P u V s L en gth
4 8.3D 0 % M 20
4 8.3D 0 .5 % M 20
4 8.3D 1 % M 20
4 8.3D E mpty
2 5 0 3 0 0 3 5 0 4 0 0 4 5 0 5 0 0 5 5 0 6 0 0 6 5 0 7 0 0 7 5 0 8 0 0 8 5 0 9 0 0
5 0
1 0 0
1 5 0
2 0 0
2 5 0
3 0 0
L e ngth m m
P u
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7.2 Verification of Taguchi’s Method
After conducting the initial nine experiments (each in
triplicate trial is 9X3=27), linear regression models are
developed for all grade of infill & regression models of M20,
M30& M40 are shown below
Pu(20) = - 270 - 0.191 Length(mm) + 9.86
Diameter(mm) + 34.3 Thickness (mm) - 0.107 % GFRP
Pu(30) = - 307 - 0.206 Length(mm) + 12.4
Diameter(mm) + 19.3 Thickness (mm) - 0.263 % GFRP
Pu(40) = - 243 - 0.215 Length(mm) + 11.7
Diameter(mm) + 10.7 Thickness (mm) - 0.133 %
GFRP
As (20) = 83.3 - 0.0096 Length(mm) + 0.660
Diameter(mm) - 3.10 Thickness (mm) - 0.0039 %
GFRP
As(30) = 296 - 0.175 Length(mm) - 0.72 Diameter(mm)
- 18.9 Thickness (mm) - 0.047 % GFRP
AS(40) = 88.7 - 0.0195 Length(mm) + 0.261
Diameter(mm) + 1.60 Thickness (mm) + 0.0203 GFRP
CONCLUSIONS
Taguchi Method found to be best for selection of
specimens & with the help of Min tab. From time series
plot we observe that ultimate axial load carrying capacity
and axial shortening of column was predicted very well.
Maximum Load Carrying Capacity can be for the 270mm
length,60.3mmDia, 3.2mm Thickness and 1% GFRP.
Minimum Axial Shortening is obtained be for the 600mm
length, 60.3mmDia, 3.2 mm Thickness and 1% GFRP.
Parametric optimization and factors influencing the
response can be determined
There is huge saving of cost and time in experimental
work ie 88% of Saving for our Experimental work
From Taguchi Analysis for maximum Axial Shortening
Carrying Capacity From Response of means and response
table of S/N Ratios the predominate factors are
Practical application of this study is in the application of
this system to “Seismic resistance structures prone to
earthquake. Also taking the advantage of light weight
concrete as a in-filled which has density(300kg/m3-
1850kg/m3) & its cellular structure provide good thermal
insulation & reduced dead load in case of high rise
building .
From load v/s length it is found that as length increases
load carrying capacity decreases.
From Load v/s deflection ductility of composite columns
found to be more comparing to empty tube.
Artificial neural network predicted good results
REFERENCES
[1] Shams M saadeghavaziri MA. State of art concrete
filled tubular columns ACI Struct J1997; 94(5)558-7.
[2] Liu Dalin , Gho wie- Min , Yuan Jie. Ultimate capacity
of high-strength rectangular concrete-filled steel hollow
section stub columns. J constr steel res 2003;59:1499-
515
[3] Elremaily Ahmed, Azizinamini Atorod. Behavior and
strength of circular concrete-filled tube columns. J
constr steel res 2002;58:1567-91.
[4] Tao zhong, Han Lin-Hai, Wang Dong-ye. Strength and
ductility of stiffened thin –walled hollow steel
structural stub columns filled with concrete. Thin
Walled struct 2008;46:1113-28.
[5] IS 10262-1982.India standard recommended guidelines
for concrete mix design. Bureau of Indian Standards,
New Delhi, India.
[6] Eurocode 4. Design of composite steel and concrete
structures, part 1.1: general rules for buildings.
Commission of European communities, British
standards institution;1994
[7] metal matrix compositesJournal of the Brazilian Society
of Mechanical Sciences and Engineeringversion ISSN
1678-5878
[8] Schneider SP. Axially loaded concrete-filled steel
tubes.J struct eng, ASCE 1998;124(10):1125-38.
[9] D.S.Ramachandra Murthy,et.al., “Seismic resistance of
the reinforced concrete beam-column joints with TMT
and CRS bars”, ICI Journal, vol.1,July-Sep.2000,no.2,
pp.19-26.
[10] A Case Study**
“Experimental investigation of CFT
under Monotonic Loading” was carried out by B.E
students of Ghou sia College of Engineering,
Ramanagaram. Mr. Sameer Simha,MsKavya
KS,Mr.Gowtham S Gowda& Mr.Arun Kumar.
Specimen grade and Loading Axial Shortening
M20 Cyclic Loading Diameter
M30 Cyclic Loading Diameter
M40 Cyclic Loading Thickness
M20 Sustained Loading Diameter
M30 Sustained Loading Thickness