利用多代理协调和粒子群优化技术实现预制混凝土构件中的智能多钢筋布局

IF 7.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems with Applications Pub Date : 2024-11-23 DOI:10.1016/j.eswa.2024.125896
Chengran Xu , Xiaolei Zheng , Jiepeng Liu , Weibing Peng , Kai Jiang , Chao Zhang , Zhou Wu
{"title":"利用多代理协调和粒子群优化技术实现预制混凝土构件中的智能多钢筋布局","authors":"Chengran Xu ,&nbsp;Xiaolei Zheng ,&nbsp;Jiepeng Liu ,&nbsp;Weibing Peng ,&nbsp;Kai Jiang ,&nbsp;Chao Zhang ,&nbsp;Zhou Wu","doi":"10.1016/j.eswa.2024.125896","DOIUrl":null,"url":null,"abstract":"<div><div>For precast concrete (PC) components, product-oriented design plays a vital role to achieve the industrial production and lean construction. Rebar collisions occur more frequently in PC components due to the irregular concrete profile and the numerous embedded parts. This paper presents an automated detailed design framework for PC components to generate the multi-rebar collision-free layout. Inspired by the formation moving capability of multi-agent flock, a multi-rebar layout module is developed to avoid rebar collision and uneven spacing. An integrated multi-agent coordination strategy is proposed for the multi-layout module, which includes three subtasks: virtual leader path planning, obstacle avoidance for collided agents, and formation optimization of agent flock. An optimization model is formulated to adjust multi-agent formation and particle swarm optimization (PSO) algorithm is employed to find the optimal solution. The developed framework is applied to the detailed design of a PC stair to demonstrate its practicability and efficiency.</div></div>","PeriodicalId":50461,"journal":{"name":"Expert Systems with Applications","volume":"264 ","pages":"Article 125896"},"PeriodicalIF":7.5000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent multi-rebar layouts in precast concrete components using multi-agent coordination and particle swarm optimization\",\"authors\":\"Chengran Xu ,&nbsp;Xiaolei Zheng ,&nbsp;Jiepeng Liu ,&nbsp;Weibing Peng ,&nbsp;Kai Jiang ,&nbsp;Chao Zhang ,&nbsp;Zhou Wu\",\"doi\":\"10.1016/j.eswa.2024.125896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>For precast concrete (PC) components, product-oriented design plays a vital role to achieve the industrial production and lean construction. Rebar collisions occur more frequently in PC components due to the irregular concrete profile and the numerous embedded parts. This paper presents an automated detailed design framework for PC components to generate the multi-rebar collision-free layout. Inspired by the formation moving capability of multi-agent flock, a multi-rebar layout module is developed to avoid rebar collision and uneven spacing. An integrated multi-agent coordination strategy is proposed for the multi-layout module, which includes three subtasks: virtual leader path planning, obstacle avoidance for collided agents, and formation optimization of agent flock. An optimization model is formulated to adjust multi-agent formation and particle swarm optimization (PSO) algorithm is employed to find the optimal solution. The developed framework is applied to the detailed design of a PC stair to demonstrate its practicability and efficiency.</div></div>\",\"PeriodicalId\":50461,\"journal\":{\"name\":\"Expert Systems with Applications\",\"volume\":\"264 \",\"pages\":\"Article 125896\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2024-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert Systems with Applications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0957417424027635\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Systems with Applications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957417424027635","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

对于预制混凝土(PC)构件而言,以产品为导向的设计对于实现工业化生产和精益施工起着至关重要的作用。由于不规则的混凝土轮廓和众多的预埋件,钢筋碰撞在 PC 组件中发生得更为频繁。本文提出了一种用于 PC 构件的自动详细设计框架,以生成无碰撞的多钢筋布局。受多代理群的编队移动能力启发,开发了多钢筋布局模块,以避免钢筋碰撞和间距不均。该模块包括三个子任务:虚拟领导者路径规划、碰撞代理避障和代理群编队优化。建立了调整多代理编队的优化模型,并采用粒子群优化(PSO)算法找到最优解。开发的框架被应用于 PC 楼梯的详细设计,以证明其实用性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Intelligent multi-rebar layouts in precast concrete components using multi-agent coordination and particle swarm optimization
For precast concrete (PC) components, product-oriented design plays a vital role to achieve the industrial production and lean construction. Rebar collisions occur more frequently in PC components due to the irregular concrete profile and the numerous embedded parts. This paper presents an automated detailed design framework for PC components to generate the multi-rebar collision-free layout. Inspired by the formation moving capability of multi-agent flock, a multi-rebar layout module is developed to avoid rebar collision and uneven spacing. An integrated multi-agent coordination strategy is proposed for the multi-layout module, which includes three subtasks: virtual leader path planning, obstacle avoidance for collided agents, and formation optimization of agent flock. An optimization model is formulated to adjust multi-agent formation and particle swarm optimization (PSO) algorithm is employed to find the optimal solution. The developed framework is applied to the detailed design of a PC stair to demonstrate its practicability and efficiency.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Expert Systems with Applications
Expert Systems with Applications 工程技术-工程:电子与电气
CiteScore
13.80
自引率
10.60%
发文量
2045
审稿时长
8.7 months
期刊介绍: Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.
期刊最新文献
Towards optimal control of HPV model using safe reinforcement learning with actor–critic neural networks Deep hashing with mutual information: A comprehensive strategy for image retrieval Maximizing failure occurrence in water distribution Systems: A Multi-Objective approach considering Reliability, Economic, and environmental aspects Multi-objective grey wolf optimizer based on reinforcement learning for distributed hybrid flowshop scheduling towards mass personalized manufacturing Multi-Context enhanced Lane-Changing prediction using a heterogeneous Graph Neural Network
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1