不同线路之间工程条件的差异导致18导则半经验模型环境振动源强预测准确度较低,致使后续减振工作浪费大量时间、经济成本。为了提高预测准确度,实现环境振动敏感点的精准筛选,节约减振成本。建立了可以反映隧道壁振动的车辆-轨道-盾构隧道耦合振动模型,基于蒙特卡洛(Monte Carlo,MC)法提出了一种环境振动源强预测随机可靠度分析方法,以半经验模型中的三个修正项CW、CR及CT为例,分析了导致修正项预测准确度具有随机不确定性的主要因素并提出了相应的标准化管理建议。主要研究结论如下:所建模型具有较高的计算效率和计算精度,单个工况计算时间为90s,可弥补MC法耗时的缺点,时域幅值误差在12%以内,源强误差在1dB以内;同种扣件不同弹性垫板之间非线性载频变刚度的差异是导致CW准确度具有随机不确定性的一个重要原因,该因素会导致源强预测存在-1~+3dB的误差;不同线路之间钢轨磨耗等级的差异是导致CR准确度具有随机不确定性的一个重要原因,该因素会导致源强预测存在-3~+3dB的误差;不同中硬土之间弹性模量的差异过大是导致CT准确度具有随机不确定性的一个重要原因,土体剪切波速在250~375m/s之间时CT的准确度较高,在375~500m/s之间时,CT的准确性较低,预测误差可达3dB;同时考虑多个修正项带来的误差时,源强预测误差范围可达-4~+9dB,设计时极有可能采取不符合断面实际要求的减振措施,从而浪费大量减振成本,因此建议严格控制扣件弹性垫板非线性载频变刚度、钢轨磨耗等级等因素的随机性,并以剪切波速375m/s为界将中硬土划为两类并给出相应的修正项。
Abstract
Due to the difference of engineering conditions between different lines, the prediction accuracy of environmental vibration source strength of 18 guidelines semi-empirical model is low, which wastes a lot of time and economic cost in the subsequent vibration reduction work. In order to improve the prediction accuracy, realize the precise screening of sensitive points of environmental vibration, and save the cost of vibration reduction. A vehicle-track-shield tunnel coupling vibration model was established to reflect the tunnel wall vibration. Based on MC method, a stochastic reliability analysis method was proposed for the prediction of environmental vibration source strength. Three correction items in the semi-empirical model, CW, CR and CT, were taken as examples. The main factors leading to the random discreteness of the prediction accuracy of correction items are analyzed and the corresponding standardization management suggestions are put forward. The main research conclusions are as follows: The established model has high computational efficiency and accuracy, and the calculation time of a single working condition is 90s, which can make up for the shortcoming of the time consuming MC method. The time domain amplitude error is less than 12%, and the source intensity error is less than 1dB. The difference of nonlinear carrier frequency varying stiffness between different elastic pads of the same fastener is an important reason for the random dispersion of CW accuracy, which leads to the error of -1~+3dB in the prediction of source strength; The difference of rail wear grade between different lines is an important reason for the random discretization of CR accuracy, which will lead to the error of -3~+3dB in the prediction of source strength. The large difference of elastic modulus between different medium and hard soils is an important reason for the random dispersion of CT accuracy. When soil shear wave velocity is between 250 and 375m/s, the accuracy of CT is relatively high, while when it is between 375 and 500m/s, the accuracy of CT is low, and the prediction error can reach 3dB. Considering the errors brought by multiple correction items at the same time, the error range of source strength prediction can reach -4~+9dB, and it is very possible to adopt vibration reduction measures that do not meet the actual requirements of section during design, thus wasting a lot of vibration reduction costs. Therefore, it is suggested to strictly control the randomness of related factors such as nonlinear carrier frequency variable stiffness of elastic plate of fasteners and rail wear grade. At the same time, the medium-hard soils are divided into two types by shear wave velocity of 375m/s and corresponding correction terms are given.
关键词
城市轨道交通 /
车辆&mdash /
轨道耦合动力学 /
环境振动 /
随机振动
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Key words
Urban rail transit /
Vehicle-track coupling dynamics;Ambient vibration /
Random vibration
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参考文献
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