Improved Hybrid Method for the Generation of Ground Motions Compatible with the Multi-Damping Design Spectra
Spectra-compatible artificial ground motions are used extensively in the time history analysis of nuclear power plants. Owing to reasons such as the dense controlling frequency points and stringent requirements for the number of small response points, it is difficult for the conventional matching methods to generate artificial ground motions that are highly compatible with multi-damping design spectra. In this paper, to resolve the problems of high precision and robustness, an improved hybrid method for constructing a multi-parameter adjustment curve in the time domain is proposed. Different from artificial intelligence methods, the improved hybrid method is a deterministic iterative method that combines the advantages of the simulated annealing algorithm (SAA) and the time domain adjustment method. The SAA is used to determine the optimal weights of the corrective time histories of all the damping ratios at a specific frequency, which controls the influences of the corrective time histories on the response spectra. Subsequently, based on the optimal weights, the artificial ground motion is adjusted in the time domain to reduce the fitting error of all the damping ratios at a specific frequency. Moreover, the multi-damping design spectra matching problem of frequencies and damping ratios is simplified to a one-dimensional problem of frequencies using the SAA. Numerical examples are presented to demonstrate the versatility of the proposed improved hybrid method.
J. Li et al., "Improved Hybrid Method for the Generation of Ground Motions Compatible with the Multi-Damping Design Spectra," Journal of Earthquake Engineering, Taylor & Francis, Jan 2022.
The definitive version is available at https://doi.org/10.1080/13632469.2022.2095059
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Deterministic Iterative Method; Multi-Damping Design Spectra; Nuclear Power Plant; Simulated Annealing Algorithm
International Standard Serial Number (ISSN)
Article - Journal
© 2022 Taylor and Francis Group, All rights reserved.
01 Jan 2022
The authors would like to acknowledge the financial supports of the National Natural Science Foundation of China (Grant No. 52178460), the Fundamental Research Funds for the Central Universities (Grant No. DUT20TD209).