Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 |
| Editors | Michael Beer, Enrico Zio |
| Pages | 4316-4320 |
| Number of pages | 5 |
| ISBN (electronic) | 9789811127243 |
| Publication status | Published - 2020 |
| Event | 29th European Safety and Reliability Conference, ESREL 2019 - Leibniz University Hannover, Hannover, Germany Duration: 22 Sept 2019 → 26 Sept 2019 |
Abstract
This paper presents a novel and alternative framework for measuring the probability of failures for sustaining mechanical structures. The concept of systemic risk measures from the financial mathematics literature is used for modeling the entire system, which finally generalizes the methodology of structural reliability-based optimization procedures. The proposed systemic risk measures provide collections of deterministic input parameters for the structure model leading to a stochastic output determined by a predefined acceptance set. Further, using conditional probabilities within this acceptance criterion paves the way for considering conditional events in structural reliability analysis.
Keywords
- Conditional Probability of Failure, Mechanical Structures, Reliability-Based Optimization, Systemic Risk
ASJC Scopus subject areas
- Engineering(all)
- Safety, Risk, Reliability and Quality
- Social Sciences(all)
- Safety Research
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Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. ed. / Michael Beer; Enrico Zio. 2020. p. 4316-4320.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - Measuring systemic risk for mechanical structures using conditional probability
AU - Eckert, Christoph
AU - Beer, Michael
PY - 2020
Y1 - 2020
N2 - This paper presents a novel and alternative framework for measuring the probability of failures for sustaining mechanical structures. The concept of systemic risk measures from the financial mathematics literature is used for modeling the entire system, which finally generalizes the methodology of structural reliability-based optimization procedures. The proposed systemic risk measures provide collections of deterministic input parameters for the structure model leading to a stochastic output determined by a predefined acceptance set. Further, using conditional probabilities within this acceptance criterion paves the way for considering conditional events in structural reliability analysis.
AB - This paper presents a novel and alternative framework for measuring the probability of failures for sustaining mechanical structures. The concept of systemic risk measures from the financial mathematics literature is used for modeling the entire system, which finally generalizes the methodology of structural reliability-based optimization procedures. The proposed systemic risk measures provide collections of deterministic input parameters for the structure model leading to a stochastic output determined by a predefined acceptance set. Further, using conditional probabilities within this acceptance criterion paves the way for considering conditional events in structural reliability analysis.
KW - Conditional Probability of Failure
KW - Mechanical Structures
KW - Reliability-Based Optimization
KW - Systemic Risk
UR - http://www.scopus.com/inward/record.url?scp=85089198012&partnerID=8YFLogxK
U2 - 10.3850/978-981-11-0745-0 1137-cd
DO - 10.3850/978-981-11-0745-0 1137-cd
M3 - Conference contribution
AN - SCOPUS:85089198012
SP - 4316
EP - 4320
BT - Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019
A2 - Beer, Michael
A2 - Zio, Enrico
T2 - 29th European Safety and Reliability Conference, ESREL 2019
Y2 - 22 September 2019 through 26 September 2019
ER -