Employing efficient techniques to accurately identify the modal parameters of new and aging offshore structures has been of interest to the offshore industry for decades. Early methods of modal identification were developed for the frequency domain. The new trend is to employ either input-output or output-only time-domain modal identification methods. Under the assumption that the excitation input is a zero-mean Gaussian white noise process, a modern output-only method that allows direct application to the response time series is the data-driven stochastic subspace identification (SSI-data) method. The main objective of this paper is to evaluate the performance of the SSI-data method using the test data measured from a physical model of a realistic offshore jacket-type platform. Response acceleration data associated with three different excitation mechanisms are investigated: impact loading, step relaxation and white noise ground motion. Although the SSI-data method has been theoretically developed, and often perceived to be only valid, for the ambient noise testing environment, it is shown in this study that the SSI-data method also performs well using data from either the impact loading or step relaxation tests.
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ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering
July 1–6, 2012
Rio de Janeiro, Brazil
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-4492-2
PROCEEDINGS PAPER
Experimental Modal Analysis of Jacket-Type Platforms Using Data-Driven Stochastic Subspace Identification Method
Junfeng Xin,
Junfeng Xin
Ocean University of China, Qingdao, Shandong, China
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Sau-Lon James Hu,
Sau-Lon James Hu
University of Rhode Island, Narragansett, RI
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Huajun Li
Huajun Li
Ocean University of China, Qingdao, Shandong, China
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Junfeng Xin
Ocean University of China, Qingdao, Shandong, China
Sau-Lon James Hu
University of Rhode Island, Narragansett, RI
Huajun Li
Ocean University of China, Qingdao, Shandong, China
Paper No:
OMAE2012-83731, pp. 271-280; 10 pages
Published Online:
August 23, 2013
Citation
Xin, J, Hu, SJ, & Li, H. "Experimental Modal Analysis of Jacket-Type Platforms Using Data-Driven Stochastic Subspace Identification Method." Proceedings of the ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. Volume 5: Ocean Engineering; CFD and VIV. Rio de Janeiro, Brazil. July 1–6, 2012. pp. 271-280. ASME. https://doi.org/10.1115/OMAE2012-83731
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