TY - GEN
T1 - Effective simulation of wind turbine long-term extreme responses using importance splitting method
AU - Ding, J.
AU - Chen, X.
PY - 2013
Y1 - 2013
N2 - This study presents an effective simulation framework with importance splitting (ISp) method for estimating small failure probability of dynamic structure with multi-correlated stochastic excitations, and addresses its application to large wind turbine extreme response predictions. The ISp method, also referred to as subset simulation with splitting, splits important sample paths into multiple branches at various stages in simulation. It permits the estimation of a rare event through estimations of intermediate subset events. The framework presented combines the ISp method with multivariate autoregressive (MAR) modeling of stochastic excitations, which is very efficient in generating conditional samples and facilities the application of ISp method to different kinds of excitations. This framework is applied to evaluate extreme responses of a 5MW onshore wind turbine with mean recurrence interval of 50-year. The translation process approach is also addressed for estimating large extremes with a newly introduced translation function instead of using Hermite polynomial model.
AB - This study presents an effective simulation framework with importance splitting (ISp) method for estimating small failure probability of dynamic structure with multi-correlated stochastic excitations, and addresses its application to large wind turbine extreme response predictions. The ISp method, also referred to as subset simulation with splitting, splits important sample paths into multiple branches at various stages in simulation. It permits the estimation of a rare event through estimations of intermediate subset events. The framework presented combines the ISp method with multivariate autoregressive (MAR) modeling of stochastic excitations, which is very efficient in generating conditional samples and facilities the application of ISp method to different kinds of excitations. This framework is applied to evaluate extreme responses of a 5MW onshore wind turbine with mean recurrence interval of 50-year. The translation process approach is also addressed for estimating large extremes with a newly introduced translation function instead of using Hermite polynomial model.
UR - http://www.scopus.com/inward/record.url?scp=84892409528&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84892409528
SN - 9781138000865
T3 - Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
SP - 5563
EP - 5570
BT - Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
T2 - 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Y2 - 16 June 2013 through 20 June 2013
ER -