Details
Original language | English |
---|---|
Article number | 103005 |
Journal | Probabilistic Engineering Mechanics |
Volume | 59 |
Early online date | 9 Nov 2019 |
Publication status | Published - Jan 2020 |
Abstract
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.
Keywords
- Failure mode, Multiple response surfaces, Reliability plot, Representative samples, Sector division, Structural reliability
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Statistical and Nonlinear Physics
- Engineering(all)
- Civil and Structural Engineering
- Energy(all)
- Nuclear Energy and Engineering
- Physics and Astronomy(all)
- Condensed Matter Physics
- Engineering(all)
- Aerospace Engineering
- Engineering(all)
- Ocean Engineering
- Engineering(all)
- Mechanical Engineering
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In: Probabilistic Engineering Mechanics, Vol. 59, 103005, 01.2020.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Dominant failure mode analysis using representative samples obtained by multiple response surfaces method
AU - Jiang, Youbao
AU - Zhao, Linjie
AU - Beer, Michael
AU - Wang, Lei
AU - Zhang, Jianren
N1 - Funding Information: The research is supported by the National Natural Science Foundation of China (Grant No. 51678072 , 51778068 ), and Key Discipline Foundation of Civil Engineering of Changsha University of Science and Technology, China ( 18ZDXK01 ).
PY - 2020/1
Y1 - 2020/1
N2 - 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.
AB - 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.
KW - Failure mode
KW - Multiple response surfaces
KW - Reliability plot
KW - Representative samples
KW - Sector division
KW - Structural reliability
UR - http://www.scopus.com/inward/record.url?scp=85074802498&partnerID=8YFLogxK
U2 - 10.1016/j.probengmech.2019.103005
DO - 10.1016/j.probengmech.2019.103005
M3 - Article
AN - SCOPUS:85074802498
VL - 59
JO - Probabilistic Engineering Mechanics
JF - Probabilistic Engineering Mechanics
SN - 0266-8920
M1 - 103005
ER -