Optimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm

Capacity of pile group is the summation of the individual piles capacity with influence of spacing between the piles. Pile groups usually have the same length, so if the spacing between piles is too close, the zones of stress around the pile will overlap and the ultimate load of the group is less th...

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Autores principales:	Saeed Ghaffarpour Jahromi, Abdollah Hoseini
Formato:	article
Lenguaje:	FA
Publicado:	Iranian Society of Structrual Engineering (ISSE) 2016
Materias:	pile group optimization efficiency of pile group overall stiffness unsymmetrical settlement evolutionary genetic algorithm Bridge engineering TG1-470 Building construction TH1-9745
Acceso en línea:	https://doaj.org/article/2964ea7acc9d4630ab7048ea148699fc
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spelling	oai:doaj.org-article:2964ea7acc9d4630ab7048ea148699fc2021-11-08T15:45:49ZOptimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm2476-39772538-2616https://doaj.org/article/2964ea7acc9d4630ab7048ea148699fc2016-06-01T00:00:00Zhttps://www.jsce.ir/article_38587_399fdbf644283f596bf593c5137ecd7e.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Capacity of pile group is the summation of the individual piles capacity with influence of spacing between the piles. Pile groups usually have the same length, so if the spacing between piles is too close, the zones of stress around the pile will overlap and the ultimate load of the group is less than the sum of the individual pile capacities especially in the case of friction piles, where the efficiency of pile group is much less. In this research the optimization of bearing capacity and unsymmetrical settlement of cap in the vertical pile group using genetic algorithm were studied. Friction pile in granular soil, with different length and arrangement were investigated to find the best performance of the group for the axial stiffness, bearing capacity and unsymmetrical settlement. The criterion of optimization is the volume of concrete needs for piles and cap. Two patterns of 5×5 pile groups (row variation and squared variation) are studied in this research. The analysis of pile group to find bearing capacity was conducted using the finite element software (Fb-pier) and for optimization used evolutionary genetic algorithm method.Saeed Ghaffarpour JahromiAbdollah HoseiniIranian Society of Structrual Engineering (ISSE)articlepile groupoptimizationefficiency of pile groupoverall stiffnessunsymmetrical settlementevolutionary genetic algorithmBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 3, Iss 1, Pp 59-71 (2016)
institution	DOAJ
collection	DOAJ
language	FA
topic	pile group optimization efficiency of pile group overall stiffness unsymmetrical settlement evolutionary genetic algorithm Bridge engineering TG1-470 Building construction TH1-9745
spellingShingle	pile group optimization efficiency of pile group overall stiffness unsymmetrical settlement evolutionary genetic algorithm Bridge engineering TG1-470 Building construction TH1-9745 Saeed Ghaffarpour Jahromi Abdollah Hoseini Optimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm
description	Capacity of pile group is the summation of the individual piles capacity with influence of spacing between the piles. Pile groups usually have the same length, so if the spacing between piles is too close, the zones of stress around the pile will overlap and the ultimate load of the group is less than the sum of the individual pile capacities especially in the case of friction piles, where the efficiency of pile group is much less. In this research the optimization of bearing capacity and unsymmetrical settlement of cap in the vertical pile group using genetic algorithm were studied. Friction pile in granular soil, with different length and arrangement were investigated to find the best performance of the group for the axial stiffness, bearing capacity and unsymmetrical settlement. The criterion of optimization is the volume of concrete needs for piles and cap. Two patterns of 5×5 pile groups (row variation and squared variation) are studied in this research. The analysis of pile group to find bearing capacity was conducted using the finite element software (Fb-pier) and for optimization used evolutionary genetic algorithm method.
format	article
author	Saeed Ghaffarpour Jahromi Abdollah Hoseini
author_facet	Saeed Ghaffarpour Jahromi Abdollah Hoseini
author_sort	Saeed Ghaffarpour Jahromi
title	Optimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm
title_short	Optimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm
title_full	Optimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm
title_fullStr	Optimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm
title_full_unstemmed	Optimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm
title_sort	optimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm
publisher	Iranian Society of Structrual Engineering (ISSE)
publishDate	2016
url	https://doaj.org/article/2964ea7acc9d4630ab7048ea148699fc
work_keys_str_mv	AT saeedghaffarpourjahromi optimizationofbearingcapacityandunsymmetricalsettlementofverticalpilegroupusinggeneticalgorithm AT abdollahhoseini optimizationofbearingcapacityandunsymmetricalsettlementofverticalpilegroupusinggeneticalgorithm
_version_	1718441733481562112

Optimization of bearing capacity and unsymmetrical settlement of vertical pile group using genetic algorithm

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