Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of Multidomain Line Sampling

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • M. Valdebenito
  • P. Wei
  • J. Song
  • M. Beer
  • M. Broggi

Externe Organisationen

  • Universidad Adolfo Ibanez
  • Northwestern Polytechnical University
  • The University of Liverpool
  • Tongji University
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Details

OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
Herausgeber/-innenMichael Beer, Enrico Zio, Kok-Kwang Phoon, Bilal M. Ayyub
Seiten369-372
Seitenumfang4
PublikationsstatusVeröffentlicht - 2024
Veranstaltung8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Deutschland
Dauer: 4 Sept. 20227 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

Zitieren

Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of Multidomain Line Sampling. / Valdebenito, M.; Wei, P.; Song, J. et al.
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/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Valdebenito, M, Wei, P, Song, J, Beer, M & Broggi, M 2024, Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of Multidomain Line Sampling. in M Beer, E Zio, K-K Phoon & BM Ayyub (Hrsg.), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. S. 369-372, 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022, Hannover, Deutschland, 4 Sept. 2022. https://doi.org/10.3850/978-981-18-5184-1_MS-12-153-cd
Valdebenito, M., Wei, P., Song, J., Beer, M., & Broggi, M. (2024). Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of Multidomain Line Sampling. In M. Beer, E. Zio, K.-K. Phoon, & B. M. Ayyub (Hrsg.), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 (S. 369-372) https://doi.org/10.3850/978-981-18-5184-1_MS-12-153-cd
Valdebenito M, Wei P, Song J, Beer M, Broggi M. Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of Multidomain Line Sampling. in Beer M, Zio E, Phoon KK, Ayyub BM, Hrsg., Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. 2024. S. 369-372 doi: 10.3850/978-981-18-5184-1_MS-12-153-cd
Valdebenito, M. ; Wei, P. ; Song, J. et al. / Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of Multidomain Line Sampling. 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
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title = "Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of Multidomain Line Sampling",
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.",
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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.

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