Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
511762 | Computers & Structures | 2009 | 9 Pages |
Abstract
This paper proposes a novel stochastic simulation method of updating future reliability of nonlinear systems with high dimensional uncertainties when the monitoring data is low dimensional. The novelty of the proposed framework is to bypass the most difficult part of the problem: drawing samples of uncertain variables conditioning on the low dimensional monitoring data. This research proposes a short-cut simulation approach: instead of drawing samples of possibly high dimensional uncertain variables conditioning on the monitoring data, it is shown that the problem can be solved by drawing samples of the low dimensional monitoring data conditioning on the future failure event.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Jianye Ching, Yi-Hung Hsieh,