Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 103005 |
| Fachzeitschrift | Probabilistic Engineering Mechanics |
| Jahrgang | 59 |
| Frühes Online-Datum | 9 Nov. 2019 |
| Publikationsstatus | Veröffentlicht - 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.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Statistische und nichtlineare Physik
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
- Energie (insg.)
- Kernenergie und Kernkraftwerkstechnik
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Ingenieurwesen (insg.)
- Luft- und Raumfahrttechnik
- Ingenieurwesen (insg.)
- Meerestechnik
- Ingenieurwesen (insg.)
- Maschinenbau
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in: Probabilistic Engineering Mechanics, Jahrgang 59, 103005, 01.2020.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › 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 -