粒子群优化算法在结构健康监测中的应用

Ho Chi Minh City Open University Journal of Science Engineering and Technology Pub Date : 2022-02-15 DOI:10.46223/hcmcoujs.tech.en.11.1.1446.2021

Le Thanh Cuong, To Thanh Sang

{"title":"粒子群优化算法在结构健康监测中的应用","authors":"Le Thanh Cuong, To Thanh Sang","doi":"10.46223/hcmcoujs.tech.en.11.1.1446.2021","DOIUrl":null,"url":null,"abstract":"In the paper, a method of determining the structural damage using the Particle Swarm Optimization (PSO) algorithm is presented. PSO is a famous algorithm to search optimization. Damaged structural system members are detected by the PSO through the frequency change before and after the damage.","PeriodicalId":34742,"journal":{"name":"Ho Chi Minh City Open University Journal of Science Engineering and Technology","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Particle Swarm Optimization (PSO) algorithm in Structural Health Monitoring (SHM) application\",\"authors\":\"Le Thanh Cuong, To Thanh Sang\",\"doi\":\"10.46223/hcmcoujs.tech.en.11.1.1446.2021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper, a method of determining the structural damage using the Particle Swarm Optimization (PSO) algorithm is presented. PSO is a famous algorithm to search optimization. Damaged structural system members are detected by the PSO through the frequency change before and after the damage.\",\"PeriodicalId\":34742,\"journal\":{\"name\":\"Ho Chi Minh City Open University Journal of Science Engineering and Technology\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ho Chi Minh City Open University Journal of Science Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46223/hcmcoujs.tech.en.11.1.1446.2021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ho Chi Minh City Open University Journal of Science Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46223/hcmcoujs.tech.en.11.1.1446.2021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

提出了一种利用粒子群优化算法确定结构损伤的方法。粒子群优化算法是一种著名的搜索优化算法。PSO通过损伤前后的频率变化来检测结构系统构件的损伤。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The Particle Swarm Optimization (PSO) algorithm in Structural Health Monitoring (SHM) application

In the paper, a method of determining the structural damage using the Particle Swarm Optimization (PSO) algorithm is presented. PSO is a famous algorithm to search optimization. Damaged structural system members are detected by the PSO through the frequency change before and after the damage.

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

Ho Chi Minh City Open University Journal of Science Engineering and Technology

自引率

0.00%

发文量

审稿时长

8 weeks