Regenhardt TE.Azad M.S.Punurai WBeer M.Vasant P.Zelinka I.Weber GW.Leibniz University HanoverHanover Germany. Institute for Risk and ReliabilityMahidol University. Faculty of Engineering. Department of Civil and Environmental Engineering2019-10-212019-10-212019-10-212018https://repository.li.mahidol.ac.th/handle/20.500.14594/47933International Conference on Intelligent Computing & Optimization ICO 2018: Intelligent Computing & Optimization pp. 11-20Offshore platforms are large structures consisting of a large number of components of various types. Thus a variety of methods are usually necessary to assess the structural reliability of these structures, ranging from Finite-Elements-methods to Monte-Carlo-Simulations. However, often reliability information is only available for the members and not for the overall, complex, system. The recently introduced survival signature provides a way to separate the structural analysis from the behaviour of the individual members. Thus it is then possible to use structural reliability methods to obtain information about how the failure of several constituent members of the offshore platform leads to overall system failure. This way it is possible to separate the structural from time-dependent information, allowing flexible and computationally efficient computation of reliability predictions.engMahidol UniversityStructural reliabilityOffshore platformsSurvival signatureSystem reliabilityProceeding ArticleSpringer Nature