NDLI: Application of importance sampling method in sliding failure simulation of caisson breakwaters

Content Provider	Springer Nature Link
Author	Wang, Yu chi Wang, Yuan zhan Li, Qing mei Chen, Liang zhi
Copyright Year	2016
Abstract	It is assumed that the storm wave takes place once a year during the design period, and N histories of storm waves are generated on the basis of wave spectrum corresponding to the N-year design period. The responses of the breakwater to the N histories of storm waves in the N-year design period are calculated by mass-spring-dashpot mode and taken as a set of samples. The failure probability of caisson breakwaters during the design period of N years is obtained by the statistical analysis of many sets of samples. It is the key issue to improve the efficiency of the common Monte Carlo simulation method in the failure probability estimation of caisson breakwaters in the complete life cycle. In this paper, the kernel method of importance sampling, which can greatly increase the efficiency of failure probability calculation of caisson breakwaters, is proposed to estimate the failure probability of caisson breakwaters in the complete life cycle. The effectiveness of the kernel method is investigated by an example. It is indicated that the calculation efficiency of the kernel method is over 10 times the common Monte Carlo simulation method.
Starting Page	469
Ending Page	482
Page Count	14
File Format	PDF
ISSN	08905487
Journal	China Ocean Engineering
Volume Number	30
Issue Number	3
e-ISSN	21918945
Language	English
Publisher	Chinese Ocean Engineering Society
Publisher Date	2016-10-16
Publisher Place	Nanjing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	caisson breakwater complete life cycle failure probability importance sampling Offshore Engineering Oceanography Coastal Sciences Fluid- and Aerodynamics Marine & Freshwater Sciences Numerical and Computational Physics, Simulation
Content Type	Text
Resource Type	Article
Subject	Oceanography Ocean Engineering Renewable Energy, Sustainability and the Environment Mechanical Engineering

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