4.7 Article

Modal Identification of Structures by Eliminating the Effect of the High Ocean Wind

期刊

出版社

MDPI
DOI: 10.3390/jmse10101509

关键词

modal identification; offshore structures; bridges; wind excitation; structural health monitoring

资金

  1. National Natural Science Foundation of China [52078100]
  2. Fundamental Research Funds for the Central Universities [DUT22JC19]
  3. Anhui international joint research center of data diagnosis and smart maintenance on bridge structures [2022AHGHYB03]
  4. Key laboratory of concrete and pre-stressed concrete structures of Ministry of Education (Southeast University) [CPCSME2018-04]

向作者/读者索取更多资源

This paper proposes an innovative method to eliminate the effect of high ocean wind on modal identification by generating impulse response and using wind velocity spectrum and correlation function for elimination. The experimental results demonstrate the effectiveness of this method.
Tropical cyclone is a rapidly rotating storm system with severe excitation such as high wind. This severe excitation may change the performance of structures, such as bridges, wharves and wind turbine structures. It is very necessary to monitor this important change. Modal parameters are the ones to reflect the structural instinct behavior. However, many identification methods assume that the excitation is white noise, which is not the truth during high ocean wind excitation. Therefore, the modal identification method to deal with severe ocean wind excitation should be investigated. This paper proposes an innovative method to eliminate the effect of high ocean wind on modal identification. The formulation to generate an impulse response is described, where the effect of high wind is pointed. Then the elimination method is derived using the wind velocity spectrum and correlation function. After the wind field is simulated, the wind velocities and spectra at all accelerometer positions are obtained. The real impulse response form is obtained. Then, modal identification using the real impulse response is performed. Finally, a practical cable-stayed bridge is employed and modal identification is performed. The results show that the identified modes can reflect structural real behavior.

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