Title : ( A genetic algorithm-based regression to predict resistance of plate gird-ers subjected to patch loading )
Authors: Farzad Shahabian Moghadam , Habib Rajabi Mashhadi , ,
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Abstract
This study proposes a new formulation for patch resistance load of steel plate girders using genetic algorithm (GA). The data used for the GA-based formulation is based on well established experimental results taken from literature. The results of the GA-based formulation are compared with existing models and experimental results. The results indicate that the proposed GA-based formulation performs quite well compared to existing models and experimental results.
Keywords
, Plate Girder, Patch Loading, Genetic Algorithm, regression.
@inproceedings{paperid:1022419,
author = {Shahabian Moghadam, Farzad and Rajabi Mashhadi, Habib and , },
title = {A genetic algorithm-based regression to predict resistance of plate gird-ers subjected to patch loading},
booktitle = {The forth international conference on structural engineering, mechanics and computation},
year = {2010},
location = {Cape Town, south africa},
keywords = {Plate Girder; Patch Loading; Genetic Algorithm; regression.},
}
%0 Conference Proceedings
%T A genetic algorithm-based regression to predict resistance of plate gird-ers subjected to patch loading
%A Shahabian Moghadam, Farzad
%A Rajabi Mashhadi, Habib
%A ,
%J The forth international conference on structural engineering, mechanics and computation
%D 2010
