Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.apor.2013.09.004
DC Field | Value | |
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dc.title | Substructural identification of jack-up platform in time and frequency domains | |
dc.contributor.author | Wang, X.M. | |
dc.contributor.author | Koh, C.G. | |
dc.contributor.author | Zhang, J. | |
dc.date.accessioned | 2014-10-09T07:39:34Z | |
dc.date.available | 2014-10-09T07:39:34Z | |
dc.date.issued | 2014-01 | |
dc.identifier.citation | Wang, X.M., Koh, C.G., Zhang, J. (2014-01). Substructural identification of jack-up platform in time and frequency domains. Applied Ocean Research 44 : 53-62. ScholarBank@NUS Repository. https://doi.org/10.1016/j.apor.2013.09.004 | |
dc.identifier.issn | 01411187 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/91230 | |
dc.description.abstract | Response monitoring can contribute to the safe operation and reliable assessment of offshore structures in harsh environments. By means of system identification, measured dynamic signals can be used not only for validation of modeling and analysis, but also for providing timely information of structural performance and early warning of structural changes which could indicate possible damages. Nevertheless, identification of offshore structures presents more challenges than land-based structures, such as unknown wave loading, unknown initial conditions and unknown foundation conditions. In this paper, the novel use of substructural identification and genetic algorithms is explored to address these challenges with focus on offshore jack-up platforms. Time domain identification and frequency domain identification are both studied for better solutions. The proposed identification strategies are validated by numerical simulation study as well as experimental study of a laboratory model.© 2014 Elsevier Ltd. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.apor.2013.09.004 | |
dc.source | Scopus | |
dc.subject | Dynamic analysis | |
dc.subject | Genetic algorithms | |
dc.subject | Jack-up platform | |
dc.subject | Structural health monitoring | |
dc.subject | Substructural identification | |
dc.subject | System identification | |
dc.type | Article | |
dc.contributor.department | CIVIL & ENVIRONMENTAL ENGINEERING | |
dc.description.doi | 10.1016/j.apor.2013.09.004 | |
dc.description.sourcetitle | Applied Ocean Research | |
dc.description.volume | 44 | |
dc.description.page | 53-62 | |
dc.description.coden | AOCRD | |
dc.identifier.isiut | 000331348700006 | |
Appears in Collections: | Staff Publications |
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