Structural expected lifetime estimation for systems with multiple failure modes based on adaptive learning kriging models
H Zhan, H Liu, NC **ao - IEEE Transactions on Reliability, 2023 - ieeexplore.ieee.org
Structural safety is a critical concern when dealing with uncertainty, and the expected
lifetime is an essential metric for its quantification. Physics-driven methods offer adequate …
lifetime is an essential metric for its quantification. Physics-driven methods offer adequate …
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling
Parameter calibration in wake effect simulation model with stochastic gradient descent and
stratified sampling Page 1 The Annals of Applied Statistics 2022, Vol. 16, No. 3, 1795–1821 …
stratified sampling Page 1 The Annals of Applied Statistics 2022, Vol. 16, No. 3, 1795–1821 …
An active Kriging-based learning method for hybrid reliability analysis
C Zhou, NC ** hedging strategies in derivatives markets. A …
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models
Using aeroelastic stochastic simulations, this study presents an importance sampling
method for assessing wind turbine reliability. As the size of modern wind turbines gets …
method for assessing wind turbine reliability. As the size of modern wind turbines gets …