Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 |
| Herausgeber/-innen | Michael Beer, Enrico Zio, Kok-Kwang Phoon, Bilal M. Ayyub |
| Seiten | 369-372 |
| Seitenumfang | 4 |
| Publikationsstatus | Veröffentlicht - 2024 |
| Veranstaltung | 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Deutschland Dauer: 4 Sept. 2022 → 7 Sept. 2022 |
Abstract
This paper presents an approach for calculating first excursion probabilities of linear structural systems subject to stochastic Gaussian loading. This probability is estimated by multidomain Line Sampling, which is an advanced version of the classical Line Sampling approach, capable of dealing with multiple failure criteria. Multidomain Line Sampling exploits the linearity of the structural system with respect to the loading. Thus, it is possible to estimate small failure probabilities (within the range of 10−3) with high precision and efficiency. These characteristics are illustrated by means of a numerical example.
ASJC Scopus Sachgebiete
- Entscheidungswissenschaften (insg.)
- Managementlehre und Operations Resarch
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
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Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. Hrsg. / Michael Beer; Enrico Zio; Kok-Kwang Phoon; Bilal M. Ayyub. 2024. S. 369-372.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of Multidomain Line Sampling
AU - Valdebenito, M.
AU - Wei, P.
AU - Song, J.
AU - Beer, M.
AU - Broggi, M.
N1 - Publisher Copyright: © 2022 ISRERM Organizers. Published by Research Publishing, Singapore.
PY - 2024
Y1 - 2024
N2 - This paper presents an approach for calculating first excursion probabilities of linear structural systems subject to stochastic Gaussian loading. This probability is estimated by multidomain Line Sampling, which is an advanced version of the classical Line Sampling approach, capable of dealing with multiple failure criteria. Multidomain Line Sampling exploits the linearity of the structural system with respect to the loading. Thus, it is possible to estimate small failure probabilities (within the range of 10−3) with high precision and efficiency. These characteristics are illustrated by means of a numerical example.
AB - This paper presents an approach for calculating first excursion probabilities of linear structural systems subject to stochastic Gaussian loading. This probability is estimated by multidomain Line Sampling, which is an advanced version of the classical Line Sampling approach, capable of dealing with multiple failure criteria. Multidomain Line Sampling exploits the linearity of the structural system with respect to the loading. Thus, it is possible to estimate small failure probabilities (within the range of 10−3) with high precision and efficiency. These characteristics are illustrated by means of a numerical example.
KW - Dynamic response
KW - First excursion probability
KW - Gaussian loading
KW - Line Sampling
KW - Linear structure
UR - http://www.scopus.com/inward/record.url?scp=85202031103&partnerID=8YFLogxK
U2 - 10.3850/978-981-18-5184-1_MS-12-153-cd
DO - 10.3850/978-981-18-5184-1_MS-12-153-cd
M3 - Conference contribution
AN - SCOPUS:85202031103
SN - 9789811851841
SP - 369
EP - 372
BT - Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
A2 - Beer, Michael
A2 - Zio, Enrico
A2 - Phoon, Kok-Kwang
A2 - Ayyub, Bilal M.
T2 - 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
Y2 - 4 September 2022 through 7 September 2022
ER -