{"title":"基于Neumann展开的结构区间有限元序列模拟方法","authors":"Bingyu Ni , Zanyu Chen , Wanyi Tian , Chao Jiang","doi":"10.1016/j.compstruc.2025.107892","DOIUrl":null,"url":null,"abstract":"<div><div>The interval finite element method, which cooperates finite elements with interval analysis, aims to determine the structural upper and lower response bounds under interval inputs. The sequential simulation method provides an efficient strategy for evaluating the structural response bounds, which performs sampling of interval variables and structural response simulations sequence by sequence. However, the structural response analyses in each simulation sequence are accurately solved, even though most of them are not contributing components to the final response bound. It is realized that structural response computations for the earlier sequences are mainly used to identify the contributing samples, focusing on assessing the relative magnitude of their values rather than obtaining their exact values. Therefore, the Neumann expansion is introduced in this paper to approximate the structural response and to identify potential contributing samples. In each simulation sequence, accurate numerical solutions of the structural response are performed only for the potential contributing samples. In addition, this study proposes an adaptive sampling strategy that accelerates the convergence by continuously adjusting the sampling neighborhood of the contributing sample. Several numerical examples are investigated to illustrate the efficiency and accuracy of the proposed Neumann expansion-based sequential simulation method.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107892"},"PeriodicalIF":4.8000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Neumann expansion-based sequential simulation method for structural interval finite element analysis\",\"authors\":\"Bingyu Ni , Zanyu Chen , Wanyi Tian , Chao Jiang\",\"doi\":\"10.1016/j.compstruc.2025.107892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The interval finite element method, which cooperates finite elements with interval analysis, aims to determine the structural upper and lower response bounds under interval inputs. The sequential simulation method provides an efficient strategy for evaluating the structural response bounds, which performs sampling of interval variables and structural response simulations sequence by sequence. However, the structural response analyses in each simulation sequence are accurately solved, even though most of them are not contributing components to the final response bound. It is realized that structural response computations for the earlier sequences are mainly used to identify the contributing samples, focusing on assessing the relative magnitude of their values rather than obtaining their exact values. Therefore, the Neumann expansion is introduced in this paper to approximate the structural response and to identify potential contributing samples. In each simulation sequence, accurate numerical solutions of the structural response are performed only for the potential contributing samples. In addition, this study proposes an adaptive sampling strategy that accelerates the convergence by continuously adjusting the sampling neighborhood of the contributing sample. Several numerical examples are investigated to illustrate the efficiency and accuracy of the proposed Neumann expansion-based sequential simulation method.</div></div>\",\"PeriodicalId\":50626,\"journal\":{\"name\":\"Computers & Structures\",\"volume\":\"316 \",\"pages\":\"Article 107892\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Structures\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0045794925002500\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Structures","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045794925002500","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
A Neumann expansion-based sequential simulation method for structural interval finite element analysis
The interval finite element method, which cooperates finite elements with interval analysis, aims to determine the structural upper and lower response bounds under interval inputs. The sequential simulation method provides an efficient strategy for evaluating the structural response bounds, which performs sampling of interval variables and structural response simulations sequence by sequence. However, the structural response analyses in each simulation sequence are accurately solved, even though most of them are not contributing components to the final response bound. It is realized that structural response computations for the earlier sequences are mainly used to identify the contributing samples, focusing on assessing the relative magnitude of their values rather than obtaining their exact values. Therefore, the Neumann expansion is introduced in this paper to approximate the structural response and to identify potential contributing samples. In each simulation sequence, accurate numerical solutions of the structural response are performed only for the potential contributing samples. In addition, this study proposes an adaptive sampling strategy that accelerates the convergence by continuously adjusting the sampling neighborhood of the contributing sample. Several numerical examples are investigated to illustrate the efficiency and accuracy of the proposed Neumann expansion-based sequential simulation method.
期刊介绍:
Computers & Structures publishes advances in the development and use of computational methods for the solution of problems in engineering and the sciences. The range of appropriate contributions is wide, and includes papers on establishing appropriate mathematical models and their numerical solution in all areas of mechanics. The journal also includes articles that present a substantial review of a field in the topics of the journal.