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Open AccessArticle

Effects of the Earthquake Nonstationary Characteristics on the Structural Dynamic Response: Base on the BP Neural Networks Modified by the Genetic Algorithm

College of Civil Engineering, Nanjing Tech University, Nanjing 211816, China
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Academic Editors: Daniele Perrone and Emanuele Brunesi
Buildings 2021, 11(2), 69; https://doi.org/10.3390/buildings11020069
Received: 4 December 2020 / Revised: 3 February 2021 / Accepted: 4 February 2021 / Published: 16 February 2021
(This article belongs to the Special Issue Structural Analysis for Earthquake-Resistant Design of Buildings)
The intensity non-stationarity is one of the basic characteristics of ground motions, the influences of which on the dynamic responses of structures is a pressing issue in the field of earthquake engineering. The BP neural network modified by the genetic algorithm was adopted in this research to investigate the influence of intensity nonstationary inputs on the structural dynamic responses from a new perspective. Firstly, many training data were generated from the prediction formula of dynamic response. The BP neural network was then pre-trained by sparsely selected data to optimize the initial weights and biases. Finally, the BP neural network was trained by all data, and the mean square error of predicted responses compared with the target response were less than 10−5. The calculation formula of sensitivity was also derived here to quantify the influence of the input change on the output. The presented method combines the advantages of neural networks in nonlinear multi-variable fitting and provides a new perspective for the study of earthquake nonstationary characteristics and their influence on the structural dynamic responses. View Full-Text
Keywords: neural networks; genetic algorithm; intensity non-stationarity; artificial neural networks; GA-BP neural networks; sensitivity neural networks; genetic algorithm; intensity non-stationarity; artificial neural networks; GA-BP neural networks; sensitivity
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MDPI and ACS Style

Zhang, Y.; Du, D.; Shi, S.; Li, W.; Wang, S. Effects of the Earthquake Nonstationary Characteristics on the Structural Dynamic Response: Base on the BP Neural Networks Modified by the Genetic Algorithm. Buildings 2021, 11, 69. https://doi.org/10.3390/buildings11020069

AMA Style

Zhang Y, Du D, Shi S, Li W, Wang S. Effects of the Earthquake Nonstationary Characteristics on the Structural Dynamic Response: Base on the BP Neural Networks Modified by the Genetic Algorithm. Buildings. 2021; 11(2):69. https://doi.org/10.3390/buildings11020069

Chicago/Turabian Style

Zhang, Yunlong; Du, Dongsheng; Shi, Sheng; Li, Weiwei; Wang, Shuguang. 2021. "Effects of the Earthquake Nonstationary Characteristics on the Structural Dynamic Response: Base on the BP Neural Networks Modified by the Genetic Algorithm" Buildings 11, no. 2: 69. https://doi.org/10.3390/buildings11020069

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