arrow
Return

A subinterval decomposition analysis method for uncertain structures with large uncertainty parameters

delete2018-02-01
delete37
PRE
AI
曹立雄 cover
曹立雄 (Lixiong Cao)
唐嘉昌 cover
唐嘉昌 (Jiachang Tang)
X
Xiangyun Long
DOI:10.1016/j.compstruc.2017.12.001delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
A simple and efficient subinterval decomposition analysis method is proposed to evaluate the lower and upper bounds of structural responses with large uncertain parameters. The proposed method decomposes the original structural system with multi-dimensional interval parameters into multiple one-dimensional subsystems. Every subsystem has only one interval parameter and the other interval parameters are substituted by their midpoint values. By dividing the interval parameter of each subsystem into several subintervals with small uncertainty, the lower and upper bounds of the system are approximately calculated by only a few subinterval combinational analyses instead of all possible combinations of subintervals. Finally, the accuracy and efficiency of the proposed method compared with the first order Taylor method, Chebyshev interval method and traditional subinterval method are verified by several numerical examples and applications. (C) 2017 Elsevier Ltd. All rights reserved.
Keywords:
Uncertainty
Interval analysis
Subinterval
Decomposition
Large uncertainty
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Computers and Structures
IF:
4.8
Papers:
6.2K
Citations:
1.7W

Organization

H
hunan university
Scholars:
4.5W
Papers: 3.3W
Citations: 70
U
university of south china
Scholars:
1.4W
Papers: 6.8K
Citations: 8
Cited Papers

Cited Papers

errShare
errSave
errShare
errSave
researcher View more