A new method for modification of ground motions using wavelet transform and enhanced colliding bodies optimization

• A robust algorithm is presented for spectral matching of ground motions utilizing the wavelet transform and the enhanced colliding bodies optimization.
• Wavelet transform is used to decompose original ground motions to several levels, where each level covers a special range of frequency.
• The enhanced colliding optimization technique is employed to calculate the variables.
• Application of the proposed method is illustrated through modifying 12 sets of ground motions.

In this paper a simple and robust approach is presented for spectral matching of ground motions utilizing the wavelet transform and an improved metaheuristic optimization technique. For this purpose, wavelet transform is used to decompose the original ground motions to several levels, where each level covers a special range of frequency, and then each level is multiplied by a variable. Subsequently, the enhanced colliding bodies optimization technique is employed to calculate the variables such that the error between the response and target spectra is minimized. The application of the proposed method is illustrated through modifying 12 sets of ground motions. The results achieved by this method demonstrate its capability in solving the problem. The outcomes of the enhanced colliding bodies optimization (ECBO) are compared to those of the standard colliding bodies optimization (CBO) to illustrate the importance of the enhancement of the algorithm.

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