Browse

A hybrid dimensional reduction method for uncertainty analysis of structures

Cited 0 time in Web of Science Cited 0 time in Scopus
Authors
Zhou, Changcong; Li, Haihe; Chang, Qi; Yuan, Xiukai
Issue Date
2019-05-26
Citation
13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019
Abstract
In order to address the issue of uncertainty analysis of large scale structures with high-dimensional input variables in the engineering, a hybrid dimensional reduction method (H-DRM) is pro-posed in this work. The method can be seen as an improvement on the multiplicative dimensional reduc-tion method (M-DRM). First, the original response function is approximated by the univariate M-DRM, based on which the variance contribution to the output variance can be estimated by three point estimate. The significant variables are thereby identified and further extended to the bivariate M-DRM. The final approximation of the original response function can be seen as a hybrid combination of univariate M-DRM of all variables and bivariate M-DRM of significant variables. The proposed H-DRM is then used for the calculation of moments and structural reliability, with the help of three point estimate. The pro-posed method can adaptively achieve the balance of computational efficiency and accuracy, and is able to avoid the curse of dimension when using three point estimate. Several examples are studied to demonstrate the feasibility of the proposed method.
Language
English
URI
https://hdl.handle.net/10371/153517
DOI
https://doi.org/10.22725/ICASP13.402
Files in This Item:
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Civil & Environmental Engineering (건설환경공학부)ICASP13
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse