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An approximate model for optimizing Bernoulli columns against buckling
•The paper presents a new model able to define the optimal design of columns against buckling.•Columns are inhomogeneous and subjected to concentrated and distributed loads.•An optimization scheme based on a parallel genetic algorithm is here proposed.•The model is free of any form of load or geomet...
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Published in: | Engineering structures 2017-06, Vol.141, p.316-327 |
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creator | Ruocco, E. Wang, C.M. Zhang, H. Challamel, N. |
description | •The paper presents a new model able to define the optimal design of columns against buckling.•Columns are inhomogeneous and subjected to concentrated and distributed loads.•An optimization scheme based on a parallel genetic algorithm is here proposed.•The model is free of any form of load or geometrical constrains.•The model deals with a large range of sample types.
Proposed herein is a simple but powerful method for optimization of inhomogeneous, elastically restrained columns against buckling when subjected to both compressive concentrated and distributed axial loads that include self-weight. Unlike previously published studies on the subject, we do not have to specify any prescribed geometrical variation and analysis may be readily performed on columns with any complex geometrical shape. In the proposed method, the differential equation governing the buckling of Euler columns is discretized by adopting the Hencky bar-chain model, and critical buckling loads are evaluated by seeking the lowest eigenvalue of the resulting system of algebraic equations. The discrete nature of the formulation, as well as the reduced number of parameters to be optimized, is well suited for the adopted optimization process that is based on evolutionary algorithms. We propose an optimization scheme based on a parallel genetic algorithm. A comparison study between the obtained optimal column shape and buckling loads on homogeneous and isotropic columns with circular cross section, and the numerical and analytical solutions found in the open literature shows fast convergence, high accuracy and flexibility of the proposed method. |
doi_str_mv | 10.1016/j.engstruct.2017.01.077 |
format | article |
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Proposed herein is a simple but powerful method for optimization of inhomogeneous, elastically restrained columns against buckling when subjected to both compressive concentrated and distributed axial loads that include self-weight. Unlike previously published studies on the subject, we do not have to specify any prescribed geometrical variation and analysis may be readily performed on columns with any complex geometrical shape. In the proposed method, the differential equation governing the buckling of Euler columns is discretized by adopting the Hencky bar-chain model, and critical buckling loads are evaluated by seeking the lowest eigenvalue of the resulting system of algebraic equations. The discrete nature of the formulation, as well as the reduced number of parameters to be optimized, is well suited for the adopted optimization process that is based on evolutionary algorithms. We propose an optimization scheme based on a parallel genetic algorithm. A comparison study between the obtained optimal column shape and buckling loads on homogeneous and isotropic columns with circular cross section, and the numerical and analytical solutions found in the open literature shows fast convergence, high accuracy and flexibility of the proposed method.</description><identifier>ISSN: 0141-0296</identifier><identifier>EISSN: 1873-7323</identifier><identifier>DOI: 10.1016/j.engstruct.2017.01.077</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Axial loads ; Buckling ; Columns (structural) ; Comparative studies ; Cross-sections ; Differential equations ; Differential geometry ; Engineering Sciences ; Evolutionary algorithms ; Genetic algorithms ; Geometry ; Load distribution (forces) ; Mathematical models ; Optimization ; Parameter optimization ; Stress concentration ; Structural engineering</subject><ispartof>Engineering structures, 2017-06, Vol.141, p.316-327</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jun 15, 2017</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c426t-a1ccc88773c46def4046393802ca3b50ced0afb17a20db2a97d4d6f0a344d1983</citedby><cites>FETCH-LOGICAL-c426t-a1ccc88773c46def4046393802ca3b50ced0afb17a20db2a97d4d6f0a344d1983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://hal.science/hal-01693905$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Ruocco, E.</creatorcontrib><creatorcontrib>Wang, C.M.</creatorcontrib><creatorcontrib>Zhang, H.</creatorcontrib><creatorcontrib>Challamel, N.</creatorcontrib><title>An approximate model for optimizing Bernoulli columns against buckling</title><title>Engineering structures</title><description>•The paper presents a new model able to define the optimal design of columns against buckling.•Columns are inhomogeneous and subjected to concentrated and distributed loads.•An optimization scheme based on a parallel genetic algorithm is here proposed.•The model is free of any form of load or geometrical constrains.•The model deals with a large range of sample types.
Proposed herein is a simple but powerful method for optimization of inhomogeneous, elastically restrained columns against buckling when subjected to both compressive concentrated and distributed axial loads that include self-weight. Unlike previously published studies on the subject, we do not have to specify any prescribed geometrical variation and analysis may be readily performed on columns with any complex geometrical shape. In the proposed method, the differential equation governing the buckling of Euler columns is discretized by adopting the Hencky bar-chain model, and critical buckling loads are evaluated by seeking the lowest eigenvalue of the resulting system of algebraic equations. The discrete nature of the formulation, as well as the reduced number of parameters to be optimized, is well suited for the adopted optimization process that is based on evolutionary algorithms. We propose an optimization scheme based on a parallel genetic algorithm. A comparison study between the obtained optimal column shape and buckling loads on homogeneous and isotropic columns with circular cross section, and the numerical and analytical solutions found in the open literature shows fast convergence, high accuracy and flexibility of the proposed method.</description><subject>Axial loads</subject><subject>Buckling</subject><subject>Columns (structural)</subject><subject>Comparative studies</subject><subject>Cross-sections</subject><subject>Differential equations</subject><subject>Differential geometry</subject><subject>Engineering Sciences</subject><subject>Evolutionary algorithms</subject><subject>Genetic algorithms</subject><subject>Geometry</subject><subject>Load distribution (forces)</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Parameter optimization</subject><subject>Stress concentration</subject><subject>Structural engineering</subject><issn>0141-0296</issn><issn>1873-7323</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFkMtOwzAQRS0EEuXxDURixSJh_EicLENFKVIlNrC2HMcpDklc7KQCvh5XQd2ysjQ6cz33IHSDIcGAs_s20cPWj25SY0IA8wRwApyfoAXOOY05JfQULQAzHAMpsnN04X0LACTPYYFW5RDJ3c7ZL9PLUUe9rXUXNdZFdjea3vyYYRs9aDfYqetMpGw39YOP5FaawY9RNamPLiBX6KyRndfXf-8lels9vi7X8ebl6XlZbmLFSDbGEiul8pxzqlhW64YBy2hBcyBK0ioFpWuQTYW5JFBXRBa8ZnXWgKSM1bjI6SW6m3PfZSd2LtzsvoWVRqzLjTjMgpGCFpDucWBvZza0-5y0H0VrJzeE8wQugpU0LQgJFJ8p5az3TjfHWAziIFi04ihYHASHP0QQHDbLeVOHwnujnfDK6CF0ME4Htrbm34xfoXSIlg</recordid><startdate>20170615</startdate><enddate>20170615</enddate><creator>Ruocco, E.</creator><creator>Wang, C.M.</creator><creator>Zhang, H.</creator><creator>Challamel, N.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7ST</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope><scope>SOI</scope><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>20170615</creationdate><title>An approximate model for optimizing Bernoulli columns against buckling</title><author>Ruocco, E. ; Wang, C.M. ; Zhang, H. ; Challamel, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c426t-a1ccc88773c46def4046393802ca3b50ced0afb17a20db2a97d4d6f0a344d1983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Axial loads</topic><topic>Buckling</topic><topic>Columns (structural)</topic><topic>Comparative studies</topic><topic>Cross-sections</topic><topic>Differential equations</topic><topic>Differential geometry</topic><topic>Engineering Sciences</topic><topic>Evolutionary algorithms</topic><topic>Genetic algorithms</topic><topic>Geometry</topic><topic>Load distribution (forces)</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Parameter optimization</topic><topic>Stress concentration</topic><topic>Structural engineering</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ruocco, E.</creatorcontrib><creatorcontrib>Wang, C.M.</creatorcontrib><creatorcontrib>Zhang, H.</creatorcontrib><creatorcontrib>Challamel, N.</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Engineering structures</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ruocco, E.</au><au>Wang, C.M.</au><au>Zhang, H.</au><au>Challamel, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An approximate model for optimizing Bernoulli columns against buckling</atitle><jtitle>Engineering structures</jtitle><date>2017-06-15</date><risdate>2017</risdate><volume>141</volume><spage>316</spage><epage>327</epage><pages>316-327</pages><issn>0141-0296</issn><eissn>1873-7323</eissn><abstract>•The paper presents a new model able to define the optimal design of columns against buckling.•Columns are inhomogeneous and subjected to concentrated and distributed loads.•An optimization scheme based on a parallel genetic algorithm is here proposed.•The model is free of any form of load or geometrical constrains.•The model deals with a large range of sample types.
Proposed herein is a simple but powerful method for optimization of inhomogeneous, elastically restrained columns against buckling when subjected to both compressive concentrated and distributed axial loads that include self-weight. Unlike previously published studies on the subject, we do not have to specify any prescribed geometrical variation and analysis may be readily performed on columns with any complex geometrical shape. In the proposed method, the differential equation governing the buckling of Euler columns is discretized by adopting the Hencky bar-chain model, and critical buckling loads are evaluated by seeking the lowest eigenvalue of the resulting system of algebraic equations. The discrete nature of the formulation, as well as the reduced number of parameters to be optimized, is well suited for the adopted optimization process that is based on evolutionary algorithms. We propose an optimization scheme based on a parallel genetic algorithm. A comparison study between the obtained optimal column shape and buckling loads on homogeneous and isotropic columns with circular cross section, and the numerical and analytical solutions found in the open literature shows fast convergence, high accuracy and flexibility of the proposed method.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.engstruct.2017.01.077</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Axial loads Buckling Columns (structural) Comparative studies Cross-sections Differential equations Differential geometry Engineering Sciences Evolutionary algorithms Genetic algorithms Geometry Load distribution (forces) Mathematical models Optimization Parameter optimization Stress concentration Structural engineering |
title | An approximate model for optimizing Bernoulli columns against buckling |
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