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VIBRATION ANALYSIS AND CONTROL OF A BRIDGE UNDER VEHICULAR RANDOM EXCITATION

机译:车辆随机激励作用下桥梁的振动分析与控制

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摘要

In this paper, vibration response of a bridge under vehicular loads has been analyzed and consequently been controlled by two actuators using active Neural Network (NN) control strategy. The bridge and the vehicles are modeled as a simply-supported Euler Bernoulli beam possessing a simple support precisely located at the middle and one-DOF vehicles respectively. With that goal, equations of the coupled system of the bridge and the vehicles are derived using Hamilton's principle, and then randomness of vibrations transferred to the bridge due to the alternative velocities of the vehicles added, latterly controlled by the designed NN control algorithm. The randomness includes 10 percent of vehicle initial speed. Deflection of the first quarter-span is considered as the output of the system and tried to be controlled by two symmetric forces whose desirable positions are determined by recent studies. Furthermore the sensitivity of the system response has been investigated by applying the different conditions in which the number of the moving vehicles varies. It is shown that the increment in the number of moving vehicles has led to unsolicited deflection specifically when two or more cars moves concurrently, whereas the NN algorithm could either perfectly or effectively get over the issue.
机译:在本文中,已经分析了桥梁在车辆载荷下的振动响应,因此使用主动神经网络(NN)控制策略由两个执行器进行控制。桥梁和车辆被建模为简单支撑的Euler Bernoulli梁,该梁具有分别位于中自由度和一自由度车辆上的简单支撑。为此,使用汉密尔顿原理推导桥梁与车辆的耦合系统的方程,然后由于所增加的车辆的替代速度,传递到桥梁的振动的随机性,随后由设计的NN控制算法进行控制。随机性包括车辆初始速度的10%。第一个四分之一跨距的挠度被认为是系统的输出,并试图通过两个对称力来控制,这些力的理想位置由最近的研究确定。此外,已经通过应用其中移动车辆的数量变化的不同条件来研究系统响应的灵敏度。结果表明,移动车辆数量的增加特别是在两辆或更多车辆同时移动时导致主动变形,而NN算法可以完全或有效地解决这一问题。

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