Abstract

A data-driven approach for earthquake damage detection and localization in multi-degree of freedom (MDOF) system subjected to strong ground motion is proposed. The new method is based on the combination of wavelet analysis and fractal characteristics. The box counting method is employed to obtain the fractal dimension of the time frequency distribution within the first natural frequency. It is verified that the proposed fractal dimensions at each DOF of linear system are identical, while the fractal dimension at the DOFs with nonlinearity will be different from those at the DOFs with linearity. Therefore, the nonlinearity or weakness of the structure caused by strong ground motion can be detected and localized through comparing the fractal dimensions at the measured DOFs. The numerical simulation on a three-bay sixteen-story moment resist frame shows that the aforementioned approach is capable of detecting and localizing seismic damage.

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