{"title":"基于元启发式算法的层合组合梁弹性常数辨识","authors":"M. Ettefagh, H. Biglari, M. Azvar, H. Emdadi","doi":"10.1109/INISTA.2014.6873598","DOIUrl":null,"url":null,"abstract":"In this paper, ABC (Artificial Bee Colony), PSO (Particle Swarm Optimization), TS (Tabu Search) and SA (Simulated Annealing) algorithms are applied to estimate the elastic constant of the laminated composite beam by means of measuring vibration frequency of the beam using experimental modal analysis. For this purpose, a proper object function is defined based on the square of deviation between measured and numerically calculated frequency. Then by minimizing this function which is in term of the elastic constant employing preceding algorithms, this constant can be estimated. Also, comprehensive comparative results of mentioned algorithms are reported.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Elastic constant identification of laminated composite beam with metaheuristic algorithms\",\"authors\":\"M. Ettefagh, H. Biglari, M. Azvar, H. Emdadi\",\"doi\":\"10.1109/INISTA.2014.6873598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, ABC (Artificial Bee Colony), PSO (Particle Swarm Optimization), TS (Tabu Search) and SA (Simulated Annealing) algorithms are applied to estimate the elastic constant of the laminated composite beam by means of measuring vibration frequency of the beam using experimental modal analysis. For this purpose, a proper object function is defined based on the square of deviation between measured and numerically calculated frequency. Then by minimizing this function which is in term of the elastic constant employing preceding algorithms, this constant can be estimated. Also, comprehensive comparative results of mentioned algorithms are reported.\",\"PeriodicalId\":339652,\"journal\":{\"name\":\"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INISTA.2014.6873598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INISTA.2014.6873598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Elastic constant identification of laminated composite beam with metaheuristic algorithms
In this paper, ABC (Artificial Bee Colony), PSO (Particle Swarm Optimization), TS (Tabu Search) and SA (Simulated Annealing) algorithms are applied to estimate the elastic constant of the laminated composite beam by means of measuring vibration frequency of the beam using experimental modal analysis. For this purpose, a proper object function is defined based on the square of deviation between measured and numerically calculated frequency. Then by minimizing this function which is in term of the elastic constant employing preceding algorithms, this constant can be estimated. Also, comprehensive comparative results of mentioned algorithms are reported.