Signal-segments cross-coherence method for nonlinear structural damage detection using free-vibration signals

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Abstract
A damage detection process can be significantly enhanced if the nonlinear effects can be used when extracting damage-sensitive features from measured signals. The coherence function is typically used for nonlinearity identification by determining the extent of the output power linearly correlated with the input. However, the excitations are usually difficult to measure in actual tests. To overcome this limit, this article presents a signal-segments cross-coherence method for nonlinearity identification. By defining a signal-segments cross-coherence matrix and signal-segments cross-coherence index, the method can visually and quantitatively indicate the presence of nonlinearity. The innovation of the new method is that the coherence analysis process only depends on a single output signal, where input and baseline signals are not required. Then, a novel structural damage localization index is constructed by multi-point comparing of the signal-segments cross-coherence indices, based on the assumption that all the measured signals from different points on the structure have the same frequency bandwidth and components. To meet this requirement, a newly proposed signal decomposition method called analytic mode decomposition method is adopted. Numerical studies on a duffing oscillator and a 10 degree-of-freedom spring-damping-mass system were performed to demonstrate the nonlinear identification process and investigate the effectiveness and robustness of the signal-segments cross-coherence-based damage detection method. The results show that the signal-segments cross-coherence method can effectively indicate the appearance of nonlinearity by the signal-segments cross-coherence matrix and signal-segments cross-coherence index with strong noise robustness. And the proposed damage localization index can accurately detect the weak nonlinear damage even with severely noise-polluted signals. To further investigate the applicability of the new method, an experimental study was conducted on a steel simplified scale model of a monopile offshore wind turbine support structure. The results demonstrate that the proposed signal-segments cross-coherence method and the new damage localization index can be used to detect the bolt-loosening damage of the steel structure only with output signals.
Funding Information
  • Taishan Scholar Foundation of Shandong Province (TSHW201502050)
  • Key Technology Research and Development Program of Shandong Province (J18KB090)
  • National Natural Science Foundation of China (51809134)
  • National Natural Science Foundation of China (51809135)
  • National Natural Science Foundation of China (51978322)
  • National Natural Science Foundation of China (U1806227)
  • Natural Science Foundation of Shandong Province (ZR2017MEE007)
  • Natural Science Foundation of Shandong Province (ZR2018BEE047)
  • Natural Science Foundation of Shandong Province (ZR2018MEE051)
  • Natural Science Foundation of Shandong Province (ZR2019MEE010)

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