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Citation:
　M. Kianian,A.A. Golafshani and E. Ghodrati.Damage Detection of Offshore Jacket Structures Using Frequency Domain Selective Measurements[J].Journal of Marine Science and Application,2013,(2):193-199.[doi:10.1007/s11804-013-1185-y]
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Damage Detection of Offshore Jacket Structures Using Frequency Domain Selective Measurements

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Title:
Damage Detection of Offshore Jacket Structures Using Frequency Domain Selective Measurements
Author(s):
M. Kianian;  A.A. Golafshani and E. Ghodrati
Affilations:
Author(s):
M. Kianian;  A.A. Golafshani and E. Ghodrati
1. Civil Engineering Department, Sharif University of Technology, Tehran 11365-9313, Iran 2. Civil & Environmental Engineering Department, University of Utah, Salt Lake City, Utah 84112-0610, USA
Keywords:
damage detection;  structural health monitoring;  frequency response function;  offshore jacket platform;  minimum rank perturbation theory;  element modal strain energy ratio
分类号:
-
DOI:
10.1007/s11804-013-1185-y
Abstract:
The development of damage detection techniques for offshore jacket structures is vital to prevent catastrophic events. This paper applies a frequency response based method for the purpose of structural health monitoring. In efforts to fulfill this task, concept of the minimum rank perturbation theory has been utilized. The present article introduces a promising methodology to select frequency points effectively. To achieve this goal, modal strain energy ratio of each member was evaluated at different natural frequencies of structure in order to identify the sensitive frequency domain for damage detection. The proposed methodology opens up the possibility of much greater detection efficiency. In addition, the performance of the proposed method was evaluated in relation to multiple damages. The aforementioned points are illustrated using the numerical study of a two dimensional jacket platform, and the results proved to be satisfactory utilizing the proposed methodology.

References:

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Memo

Memo:
Financial Support by the Pars Oil and Gas Company (Grant No. 88-065).
Last Update: 2013-07-05