Optimization of reinforced concrete columns with variable circular cross-section hollowed using the criterion of instability and mechanical strength

IF 1.7 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Lucas Willian Aguiar Mattias, L. J. Araujo
{"title":"Optimization of reinforced concrete columns with variable circular cross-section hollowed using the criterion of instability and mechanical strength","authors":"Lucas Willian Aguiar Mattias, L. J. Araujo","doi":"10.1108/mmms-01-2023-0017","DOIUrl":null,"url":null,"abstract":"PurposeThis study aims to optimize the structural design of reinforced concrete columns with variable hollow circular sections.Design/methodology/approachThe columns were optimized according to the criteria of instability (buckling) and mechanical strength (compression and/or tensile strength). To perform the optimizations, routines are developed in Python using the penalty and sequential linearization programming (SLP) function methods to optimize the elements satisfying the buckling and stress criteria.FindingsAt the end of the optimization process, the optimal section is obtained for the example of a circular column with a variable section, this section has an average radius of 5% smaller than that initially defined.Originality/valueThe theoretical basis for column optimization and the structuring of an algorithm in Python language for the computational resolution of these problems are presented in a didactic way, as well as the comparative efficiency of the methods.","PeriodicalId":46760,"journal":{"name":"Multidiscipline Modeling in Materials and Structures","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multidiscipline Modeling in Materials and Structures","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1108/mmms-01-2023-0017","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

PurposeThis study aims to optimize the structural design of reinforced concrete columns with variable hollow circular sections.Design/methodology/approachThe columns were optimized according to the criteria of instability (buckling) and mechanical strength (compression and/or tensile strength). To perform the optimizations, routines are developed in Python using the penalty and sequential linearization programming (SLP) function methods to optimize the elements satisfying the buckling and stress criteria.FindingsAt the end of the optimization process, the optimal section is obtained for the example of a circular column with a variable section, this section has an average radius of 5% smaller than that initially defined.Originality/valueThe theoretical basis for column optimization and the structuring of an algorithm in Python language for the computational resolution of these problems are presented in a didactic way, as well as the comparative efficiency of the methods.
基于失稳和力学强度准则的变圆截面空心钢筋混凝土柱优化设计
目的本研究旨在优化变截面空心圆截面钢筋混凝土柱的结构设计。设计/方法/方法根据不稳定性(屈曲)和机械强度(压缩和/或拉伸强度)标准对柱进行优化。为了执行优化,在Python中使用惩罚和顺序线性化编程(SLP)函数方法开发例程,以优化满足屈曲和应力标准的单元。发现在优化过程结束时,获得了具有可变截面的圆柱的最佳截面,该截面的平均半径比最初定义的半径小5%。原创性/价值以教学的方式介绍了列优化的理论基础和Python语言中用于计算解决这些问题的算法的结构,以及这些方法的相对效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.70
自引率
5.00%
发文量
60
期刊介绍: Multidiscipline Modeling in Materials and Structures is published by Emerald Group Publishing Limited from 2010
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信