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Issue title: Special Section: Fuzzy theoretical model analysis for signal processing
Guest editors: Valentina E. Balas, Jer Lang Hong, Jason Gu and Tsung-Chih Lin
Article type: Research Article
Authors: Luo, Junhuia; * | Liu, Xianlina | Mi, Decaia | Chen, Deqiangb | He, Zhifena; c | Xu, Longwanga
Affiliations: [a] Guangxi Communication Design Group Co., LTD, Nanning, China | [b] College of Civil Engineering and Architecture, Guangxi University, Nanning, China | [c] Department of Computer Science and Engineering, SRM University, Chennai, India
Correspondence: [*] Corresponding author. Junhui Luo, Guangxi Communication Design Group Co., LTD, Nanning, China. E-mail: luojunhui3754@yeah.net.
Abstract: In Guangxi marine soft foundation of a highway, the research of the intelligent dynamic response of marine roadbeds under traffic loading is carried out. To describe the interaction characteristics of vehicles and soft marine foundation, fine-analyzing the mechanical mechanism of various kinds of damage in early stage and the key factors affecting on the car, it need step up pavement coupling. Accordingly, it was based on the assumption of rigid pavement based on the Lagrange method, meet the viscoelastic foundation of the infinite beam, using sine wave road model of MW. Sayers vehicle road coupling system is used to calculate and analyze the time history curve of traffic load. Then, plugged the loads into that the finite element, the initial dynamic stress and the counting of the influence of marine soft foundation depth was obtained under traffic loading. The results show that the vehicle road coupling system based on the balance mechanics method is effective. It can be extended to consider the stress of traffic loads and ocean soft foundation, and calculate the depth, considering the viscoelastic boundary. It effectively predicts the stress of marine soft soil foundation, and has important guiding significance for theoretical research and engineering practice.
Keywords: Marine soft, traffic load, pavement coupling, finite element, viscoelastic boundary, intelligent
DOI: 10.3233/JIFS-179317
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4811-4818, 2019
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