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9 September 2019 Vibration Response Analysis of Coastal Architectural Structures Based on SMA Wavelet Neural Network Constitutive Model
Li Gao, Sheliang Wang, Yuan Zhou, Jiangle Li
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Abstract

Gao, L.; Wang, S.-L.; Zhou, Y., and Li, J.-L., 2019. Vibration response analysis of coastal architectural structures based on SMA wavelet neural network constitutive model. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 213–217. Coconut Creek (Florida), ISSN 0749-0208.

The coastal area of South China is a frequent seismic activity area. To improve the seismic performance of architectural structures in the coastal areas of South China, this paper proposed a Niche Bat Algorithm (NBA) Wavelet Neural Network (WNN) constitutive model of Shape Memory Alloy (SMA), and compared it with WNN model and BA-optimized WNN (BA-WNN). The paper applied SMA to the seismic control of truss structure, and the obtained SMA control system can more effectively reduce the interlayer displacement of the structure and alleviate the seismic response of the structure, it provided a new method for seismic resistance of coastal structures.

©Coastal Education and Research Foundation, Inc. 2019
Li Gao, Sheliang Wang, Yuan Zhou, and Jiangle Li "Vibration Response Analysis of Coastal Architectural Structures Based on SMA Wavelet Neural Network Constitutive Model," Journal of Coastal Research 94(sp1), 213-217, (9 September 2019). https://doi.org/10.2112/SI94-045.1
Received: 19 February 2019; Accepted: 19 April 2019; Published: 9 September 2019
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KEYWORDS
bat algorithm (BA)
niche
SMA constitutive model
wavelet neural network (WNN)
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