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dc.contributor.authorFenerci, Aksel
dc.contributor.authorGeuzaine, Margaux
dc.contributor.authorDenoël, Vincent
dc.contributor.authorØiseth, Ole Andre
dc.date.accessioned2023-02-22T11:47:38Z
dc.date.available2023-02-22T11:47:38Z
dc.date.created2023-01-09T15:37:23Z
dc.date.issued2022
dc.identifier.isbn9780791885864
dc.identifier.urihttps://hdl.handle.net/11250/3053220
dc.description.abstractFloating pontoon bridges offer viable alternatives to cable-supported bridges when crossing long straits. Design of such large floating structures requires estimation of long-term load effects (e.g. 100years) under stochastic wave loading. The long-term extreme response of such floating structures can be estimated using the so-called full-long term method, where the structural response is calculated for all possible environmental conditions over a long-term period. Such a procedure is naturally computationally demanding and depends highly on the computational efficiency of the short-term response calculation. Although the procedure is rather efficient in frequency domain compared to time domain, the computational demand can still be considerable when the number of environmental variables is large. Here, we shall explore the possibility of carrying out the short-term response calculations using multiple timescale spectral analysis, which allows analytical approximations of the short-term response statistics. Through comparisons with the more time-consuming numerical solution, we report reasonably accurate estimations with a significant gain in the computational effort.en_US
dc.language.isoengen_US
dc.publisherASMEen_US
dc.relation.ispartofConference proceedings ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. Volume 2: Structures, Safety, and Reliability
dc.titleEfficient Long-Term Extreme Response Analysis of Floating Bridges Using Multiple Timescale Spectral Analysisen_US
dc.title.alternativeEfficient Long-Term Extreme Response Analysis of Floating Bridges Using Multiple Timescale Spectral Analysisen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.identifier.doi10.1115/OMAE2022-80114
dc.identifier.cristin2103517
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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