A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures
© 2019, Springer Nature Switzerland AG. Offshore 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-S...
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th-mahidol.506832020-01-27T15:41:34Z A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures Tobias Emanuel Regenhardt Md Samdani Azad Wonsiri Punurai Michael Beer Mahidol University Gottfried Wilhelm Leibniz Universität Computer Science Engineering © 2019, Springer Nature Switzerland AG. Offshore 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. 2020-01-27T08:23:41Z 2020-01-27T08:23:41Z 2019-01-01 Conference Paper Advances in Intelligent Systems and Computing. Vol.866, (2019), 11-20 10.1007/978-3-030-00979-3_2 21945357 2-s2.0-85054720519 https://repository.li.mahidol.ac.th/handle/123456789/50683 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85054720519&origin=inward |
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Computer Science Engineering Tobias Emanuel Regenhardt Md Samdani Azad Wonsiri Punurai Michael Beer A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures |
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© 2019, Springer Nature Switzerland AG. Offshore 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. |
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Mahidol University |
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Mahidol University Tobias Emanuel Regenhardt Md Samdani Azad Wonsiri Punurai Michael Beer |
format |
Conference or Workshop Item |
author |
Tobias Emanuel Regenhardt Md Samdani Azad Wonsiri Punurai Michael Beer |
author_sort |
Tobias Emanuel Regenhardt |
title |
A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures |
title_short |
A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures |
title_full |
A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures |
title_fullStr |
A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures |
title_full_unstemmed |
A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures |
title_sort |
novel application of system survival signature in reliability assessment of offshore structures |
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2020 |
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https://repository.li.mahidol.ac.th/handle/123456789/50683 |
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1763491813838028800 |