Structural Optimizations of Different Load-Carrying Members Based on Low Structural Performance Through Computational Structural Analysis

V. Raja, B. S, R. Gnanasekaran, Naveen Kumar Kulandaiyappan, Jagadeeshwaran Ponmariappan, Arul Prakash Raji, Senthilkumar Madasamy
{"title":"Structural Optimizations of Different Load-Carrying Members Based on Low Structural Performance Through Computational Structural Analysis","authors":"V. Raja, B. S, R. Gnanasekaran, Naveen Kumar Kulandaiyappan, Jagadeeshwaran Ponmariappan, Arul Prakash Raji, Senthilkumar Madasamy","doi":"10.4018/978-1-7998-7864-3.ch012","DOIUrl":null,"url":null,"abstract":"Load withstanding characteristics are one of the major considerations involved in structural engineering because the lifetime factor is directly proportional to load withstanding behavior. Thus, this work computationally analyzes the load withstanding behavior of various sandwich lightweight composite materials under the given flexural load. In this work, four major materials are imposed under flexural loads for two different cum prime core structures such as hexagonal cross-section and twisted cum integrated pentagonal cross-section. The major materials implemented for this comparative investigation are Aluminium Alloy, CFRP, GFRP, and KFRP. All the computational composite models are constructed through the advanced computational tool (i.e., ANSYS Workbench). Finally, the best structures with respect to their lightweight materials are shortlisted to withstand a high amount of flexural loads. According to this comprehensive study, the CFRP-based honeycomb sandwich composite performed better than all other lightweight materials.","PeriodicalId":170776,"journal":{"name":"Handbook of Research on Advancements in the Processing, Characterization, and Application of Lightweight Materials","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook of Research on Advancements in the Processing, Characterization, and Application of Lightweight Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-7998-7864-3.ch012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Load withstanding characteristics are one of the major considerations involved in structural engineering because the lifetime factor is directly proportional to load withstanding behavior. Thus, this work computationally analyzes the load withstanding behavior of various sandwich lightweight composite materials under the given flexural load. In this work, four major materials are imposed under flexural loads for two different cum prime core structures such as hexagonal cross-section and twisted cum integrated pentagonal cross-section. The major materials implemented for this comparative investigation are Aluminium Alloy, CFRP, GFRP, and KFRP. All the computational composite models are constructed through the advanced computational tool (i.e., ANSYS Workbench). Finally, the best structures with respect to their lightweight materials are shortlisted to withstand a high amount of flexural loads. According to this comprehensive study, the CFRP-based honeycomb sandwich composite performed better than all other lightweight materials.
基于计算结构分析的低性能不同承载构件结构优化
承载特性是结构工程中涉及的主要考虑因素之一,因为寿命因子与承载性能成正比。因此,本工作计算分析了各种夹层轻质复合材料在给定弯曲荷载下的耐载性能。在这项工作中,四种主要材料在两种不同的核心结构(六角形截面和扭曲综合五角形截面)下施加弯曲载荷。本比较研究采用的主要材料是铝合金、CFRP、GFRP和KFRP。所有的计算复合模型都是通过先进的计算工具(即ANSYS Workbench)构建的。最后,在轻质材料方面的最佳结构被列入候选名单,以承受大量的弯曲载荷。根据这项综合研究,cfrp基蜂窝夹层复合材料的性能优于所有其他轻质材料。
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
自引率
0.00%
发文量
0
×
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