Cost optimisation of steel I-girder cross-sections using genetic algorithms

大梁 轮缘 结构工程 焊接 屈曲 弯曲 灵活性(工程) 参数统计 弯矩 工程类 剪切(地质) 计算机科学 机械工程 数学 材料科学 复合材料 统计
作者
João Pedro Martins,João Correia,Filip Ljubinković,Luís Simões da Silva
出处
期刊:Structures [Elsevier BV]
卷期号:55: 379-388 被引量:12
标识
DOI:10.1016/j.istruc.2023.06.030
摘要

In this study, the economical use of steel I-girders subject to bending with built-up cross sections is explored. The cross-sections are optimized in terms of cost while respecting the design rules of Eurocode 3, namely, bending and shear cross-section resistance, M−V interaction, and flange-induced buckling, whereas lateral torsional buckling is neglected. The optimization is carried out by employing a Genetic Algorithm allowing for one or more bending moment and shear force combinations to be applied to the cross-section. Finally, a large parametric study is carried out for different bending moment and shear force combinations, hence covering a wide range of applications of I-girders, and an extensive database of optimized built-up sections is generated. These results, which are made available, allow for a quick selection of an optimal cross-section, hence presenting a valuable source for design practitioners. Lastly, using these results, a cost comparison is carried out between the optimized built-up cross-sections and commercial IPE and HL hot-rolled profiles, selected to comply with the safety requirements for the same pair of bending moment and shear force. This comparative study shows that despite the welding and cutting costs, the use of built-up cross-sections in large-span girders results in a more sustainable solution, as substantial material savings of up to 30–35% can be attained. This is due to their flexibility in geometry, which nowadays may be intelligently controlled and adjusted for virtually any particular case using sophisticated optimization algorithms.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
叶问完成签到,获得积分10
刚刚
肖焱完成签到,获得积分20
1秒前
满满发布了新的文献求助10
1秒前
2秒前
拓小八完成签到,获得积分0
2秒前
3秒前
irie发布了新的文献求助30
3秒前
奋斗雅香完成签到 ,获得积分10
4秒前
5秒前
西瓜罐头完成签到,获得积分10
6秒前
Tr0c完成签到,获得积分10
8秒前
Wangshasha发布了新的文献求助30
8秒前
9秒前
健忘的小懒虫完成签到,获得积分10
9秒前
9秒前
Thevintro完成签到,获得积分10
10秒前
别嘚吧嘚儿完成签到 ,获得积分10
10秒前
木木完成签到,获得积分10
11秒前
香蕉觅云应助科研通管家采纳,获得10
11秒前
SciGPT应助科研通管家采纳,获得10
11秒前
科目三应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
12秒前
12秒前
whisper应助科研通管家采纳,获得10
12秒前
bkagyin应助科研通管家采纳,获得10
12秒前
12秒前
12秒前
完美世界应助科研通管家采纳,获得10
12秒前
12秒前
12秒前
小任发布了新的文献求助10
13秒前
14秒前
冷艳的灭龙完成签到,获得积分10
15秒前
哈嘻嘻哟发布了新的文献求助10
16秒前
bkagyin应助irie采纳,获得30
16秒前
16秒前
畅快谷蕊完成签到,获得积分10
17秒前
Catherine关注了科研通微信公众号
17秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
The Immune System (Fifth Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6559519
求助须知:如何正确求助?哪些是违规求助? 8342362
关于积分的说明 17874027
捐赠科研通 5679797
什么是DOI,文献DOI怎么找? 2941455
邀请新用户注册赠送积分活动 1917269
关于科研通互助平台的介绍 1789194