Structural damage detection of offshore platforms considering environmental variations

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Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (16) : 294-302.

WU Wenkai1, XU Mingqiang1, WANG Shuqing1, JIANG Yufeng1, WANG Guoxing2

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Abstract

Offshore platforms continually serve in atrocious ocean environment, imposing the occurrence and growth of structural damage.Environmental variations, such as temperature, marine growth, foundation scour, and etc., tend to mask the changes of structural dynamic features caused by damage.To this end, the vibration-based methods cannot be used to identify the existence of the damage.In this paper, a cointegration analysis-based method was proposed for damage detection of offshore platforms and the cointegration residuals of natural frequencies extracted by the cointegration analysis were used to remove the environmental variations.Further, the X-bar chart was used to determine the occurrence of damage.The influence of temperature, including air temperature, water temperature and seabed mud temperature was simultaneously considered because temperature is the most common condition that changes the dynamic features of structures.The performance of cointegration method was explored and compared with the principle component analysis, which has been constantly used for damage detection under environmental variations.Results show that both methods can successfully remove the temperature influence and accurately identify the damage.The cointegration performs more robust with a low noise level while the principle analysis behaves well with a high noise level.Besides, cointegration has a lower misjudgment rate in the case of small baseline sample.

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offshore platforms / damage detection / vibration-based methods / environmental variations / principle component analysis（PCA） / cointegration

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WU Wenkai, XU Mingqiang, WANG Shuqing, JIANG Yufeng, WANG Guoxing. Structural damage detection of offshore platforms considering environmental variations[J]. Journal of Vibration and Shock, 2021, 40(16): 294-302

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