Title : ( DAMAGE AND PLASTICITY CONSTANTS OF CONVENTIONAL AND HIGH-STRENGTH CONCRETE PART I: STATISTICAL OPTIMIZATION USING GENETIC ALGORITHM )
Authors: M. Moradi , A. R. Bagherieh , Mohammad Reza Esfahani ,Access to full-text not allowed by authors
Abstract
The constitutive relationships presented for concrete modeling are often associated with unknown material constants. These constants are in fact the connectors of mathematical models to experimental results. Experimental determination of these constants is always associated with some difficulties. Their values are usually determined through trial and error procedure, with regard to experimental results. In this study, in order to determine the material constants of an elastic-damage-plastic model proposed for concrete, the results of 44 uniaxial compression and tension experiments collected from literature were used. These constants were determined by investigating the consistency of experimental and modeling results using a genetic algorithm optimization tool for all the samples; then, the precision of resulted constants were investigated by simulating cyclic and biaxial loading experiments. The simulation results were compared to those of the corresponding experimental data. The results observed in comparisons indicated the accuracy of obtained material constants in concrete modeling.
Keywords
Keywords: Reinforced concrete; genetic algorithm; constitutive modeling; damage; plasticity.@article{paperid:1063930,
author = {M. Moradi and A. R. Bagherieh and Esfahani, Mohammad Reza},
title = {DAMAGE AND PLASTICITY CONSTANTS OF CONVENTIONAL AND HIGH-STRENGTH CONCRETE PART I: STATISTICAL OPTIMIZATION USING GENETIC ALGORITHM},
journal = {International Journal of Optimization in Civil Engineering},
year = {2018},
volume = {8},
number = {1},
month = {January},
issn = {2228-7558},
pages = {77--99},
numpages = {22},
keywords = {Keywords: Reinforced concrete; genetic algorithm; constitutive modeling; damage;
plasticity.},
}
%0 Journal Article
%T DAMAGE AND PLASTICITY CONSTANTS OF CONVENTIONAL AND HIGH-STRENGTH CONCRETE PART I: STATISTICAL OPTIMIZATION USING GENETIC ALGORITHM
%A M. Moradi
%A A. R. Bagherieh
%A Esfahani, Mohammad Reza
%J International Journal of Optimization in Civil Engineering
%@ 2228-7558
%D 2018