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Bridge vehicle loads based on neural network research

Author: HuangXingHao
Tutor: YuZhiBin
School: Central South University
Course: Bridge and Tunnel Engineering
Keywords: Bridge load Load spectrum Vehicle weight Models Monte Carlo Neural Networks Power Fatigue life
CLC: U441.2
Type: Master's thesis
Year: 2011
Downloads: 43
Quote: 0
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Abstract


The reinforced concrete structure of the bridge is the most widely structure , reinforced concrete bridge structure as the infrastructure to make a significant contribution to China's economic construction . However, with the rapid development of China 's economy , the bridge load along a sharp increase , the bridge fatigue problems will become more critical . Establishment of a reinforced concrete beam fatigue damage limit state equation , you need to use the vehicle load random variable model , as well as the concrete bridge resistance degradation model . In this paper, based on the the site vehicle load findings and research results of the project team members , the vehicle load spectrum model . The main work is as follows : ( 1) The vehicle load survey . The survey data on the parameters of a highway toll station models, vehicle weight , vehicle weight and vehicle data , statistical analysis, analysis of the results of various models to obtain statistical parameters . ( 2 ) load spectrum model . On the basis of the data analysis and literature survey , drawing on the research results of the project team members using stochastic process theory and Monte Carlo methods to establish the load spectrum model based on measured data survey . (3) dynamic analysis . Dynamic analysis program written in Fortran , dynamic analysis of vehicles crossing the bridge . (4) the fatigue life of a real bridge . The the real bridge design and the scientific research , the calculation and analysis of the fatigue life of the real bridge .

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CLC: > Transportation > Road transport > Bridges and Culverts > Structural principles, structural mechanics > Bridge load
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