Interval dynamic response analysis of vehicle-bridge interaction system with uncertainty
Interval dynamic response analysis of vehicle-bridge interaction system with uncertainty
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DOI：
10.1016/j.jsv.2013.01.025
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发表时间：
2013-06
影响因子：
4.7
通讯作者：
Nengguang Liu;W. Gao;Chongmin Song;Nong Zhang;Y. Pi
中科院分区：
文献类型：
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作者：
Nengguang Liu;W. Gao;Chongmin Song;Nong Zhang;Y. Pi
研究了具有不确定参数的车-桥相互作用系统的区间动力响应分析。将桥梁和车辆的参数视为区间变量。用半车模型来表示移动的车辆，将桥梁假设为简支欧拉-伯努利梁。将区间算法引入到车桥相互作用系统的动力分析中，建立了区间桥梁动力响应的中点值、区间宽度、下界和上界表达式。下界和上界分别是桥梁动力响应的最小值和最大值，也可以通过优化方法确定。在此基础上，提出了一种启发式优化方法，即采用低差异序列初始化粒子和高阶非线性时变惯性权重和恒加速度系数（LHNPSO）的新型粒子群优化方法来求解桥梁位移边界。通过算例说明了所提方法的有效性，并通过蒙特卡罗仿真验证了计算结果。研究了各体系参数对桥梁响应的影响。
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.