TY - GEN
T1 - CVaR Formulation of Reliability-Based Design Problems Considering the Risk of Extreme Failure Events
AU - Xu, Yanwen
AU - Wang, Pingfeng
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The reliability-based design optimization (RBDO) considers uncertainties under probability constraints. The probability constraint ensures a minimum level of safety, but it does not account for the risks beyond the level and potentially catastrophic accidents caused by those extreme risks. Accordingly, the optimum design based on the conventional RBDO formulation may either lead to bearing high uncontrollable risks or difficult to optimize. To capture these uncertainties and extreme risks, the risk measure of conditional-value-at-risk (CVaR), which is a coherent and adverse measure of risk, should be integrated into the RBDO formulation. This paper aims at proposing an efficient and robust reliability-based design formulation for engineering systems, which takes the advantages of the CVaR measure to manage system risks intelligently. The developed formulation helps the reliability-based design to obtain a conservative final design and control the design with extreme risks automatically. Numerical experiments demonstrate that the proposed RBDO formulation achieves a more conservative optimum design controlling extreme risks compared with the conventional RBDO formulation.
AB - The reliability-based design optimization (RBDO) considers uncertainties under probability constraints. The probability constraint ensures a minimum level of safety, but it does not account for the risks beyond the level and potentially catastrophic accidents caused by those extreme risks. Accordingly, the optimum design based on the conventional RBDO formulation may either lead to bearing high uncontrollable risks or difficult to optimize. To capture these uncertainties and extreme risks, the risk measure of conditional-value-at-risk (CVaR), which is a coherent and adverse measure of risk, should be integrated into the RBDO formulation. This paper aims at proposing an efficient and robust reliability-based design formulation for engineering systems, which takes the advantages of the CVaR measure to manage system risks intelligently. The developed formulation helps the reliability-based design to obtain a conservative final design and control the design with extreme risks automatically. Numerical experiments demonstrate that the proposed RBDO formulation achieves a more conservative optimum design controlling extreme risks compared with the conventional RBDO formulation.
KW - CVaR
KW - Reliability-based design optimization
KW - risk management
KW - risk of extreme failure events
KW - tail region control
UR - http://www.scopus.com/inward/record.url?scp=85123057208&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123057208&partnerID=8YFLogxK
U2 - 10.1109/RAMS48097.2021.9605753
DO - 10.1109/RAMS48097.2021.9605753
M3 - Conference contribution
AN - SCOPUS:85123057208
T3 - Proceedings - Annual Reliability and Maintainability Symposium
BT - 67th Annual Reliability and Maintainability Symposium, RAMS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 67th Annual Reliability and Maintainability Symposium, RAMS 2021
Y2 - 24 May 2021 through 27 May 2021
ER -