Interval dynamic response analysis of vehicle-bridge interaction system with uncertainty

被引:51
|
作者
Liu, Nengguang [1 ]
Gao, Wei [1 ]
Song, Chongmin [1 ]
Zhang, Nong [2 ]
Pi, Yong-Lin [1 ]
机构
[1] Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia
[2] Univ Technol Sydney, Sch Elect Mech & Mechatron Syst, Fac Engn & IT, Sydney, NSW 2007, Australia
基金
澳大利亚研究理事会;
关键词
PARTICLE SWARM OPTIMIZATION; COMPOSITE-LAMINATED PLATES; MONTE CARLO METHODS; FINITE-ELEMENT; TRUSS STRUCTURES; BRAKING;
D O I
10.1016/j.jsv.2013.01.025
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Interval dynamic response analysis of vehicle-bridge interaction system with uncertain parameters is studied in this paper. The bridge's and vehicle's parameters are considered as interval variables. A half-car model is used to represent a moving vehicle and the bridge is assumed as a simply supported Euler-Bernoulli beam. By introducing the interval algorithm into the dynamic analysis of vehicle-bridge interaction system, the expressions of the midpoint value, interval width, lower and upper bounds of interval bridge dynamic response are developed. The lower and upper bounds are respectively the minimum and maximum values of bridge dynamic response, which can also be determined by optimization approaches. A heuristic optimization method, a new particle swarm optimization method with low-discrepancy sequence initialized particles and high-order nonlinear time-varying inertia weight and constant acceleration coefficients (LHNPSO), is then developed to find the bounds of bridge displacement. Examples are used to illustrate the effectiveness of the presented methods and Monte-Carlo simulations are implemented to validate the computational results. The effects of individual system parameters on bridge response are also investigated. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3218 / 3231
页数:14
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