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Dominant failure mode analysis using representative samples obtained by multiple response surfaces method

delete2020-01-01
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PRE
AI
蒋友宝 封面图
蒋友宝 (Youbao Jiang) *
赵
赵林杰 (Linjie Zhao)
M
Michael Beer
L
Lei Wang
张
张建仁 (Jianren Zhang)
DOI:10.1016/j.probengmech.2019.103005delete
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摘要

摘要

En 中文
The conventional methods for failure mode analysis usually fail to identify dominant failure modes efficiently for large structures. To overcome this issue, an approach based on representative samples is proposed, which combines the MRS (multiple response surfaces) method with iterative strategies. The main steps are: (1) use MRS method to approximate the system failure function piecewise and to search the multiple design points; (2) perform deterministic structural analysis to identify failure sequences for samples in the important domain rather than the total domain; (3) solve representative samples with iterative strategies to obtain a converged solution based on a visualization plot. A key merit of this approach is that it can identify dominant failure modes efficiently due to the utilization of samples with most contributions to system failure, such as design points, etc. Numerical examples show that the proposed method can be used well to search dominant failure modes for structures.
Keyword:
Structural reliability
Multiple response surfaces
Failure mode
Representative samples
Reliability plot
Sector division
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期刊

Probabilistic Engineering Mechanics 封面图
Probabilistic Engineering Mechanics
IF:
3.5
论文数:
1.7K
被引数:
4.1K

机构

L
Leibniz University Hannover
学者数:
1.1W
论文数: 8.5K
被引数: 1.1W
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