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Statistical Parameters of In-A-Lane Multiple Truck Presence and a New Procedure to Analyze the Lifetime of Bridges

机译:车内多卡车状态的统计参数和分析桥梁寿命的新方法

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摘要

Design and evaluation of highway bridges requires the assessment of live loads, which can involve a considerable degree of uncertainties. These uncertainties typically refer to the number of vehicles, weight of vehicles, headway distance, type of vehicles, axle spacing, axle load, speed of vehicles and other factors. Therefore, in order to perform a reliability analysis, it is necessary to consider live load as a random variable. Multiple truck presence (MTP) and headway distance also are two random variables that should be deliberated for the assessment of live load. The basic goal of this study is to update the statistical parameters of in-a-lane MTP, using the recent available weigh-in-motion (WIM) data, and then delineate the relationship between the bridge lengths and the influence of MTP events. However, since MTP is a time-dependent variable, the statistical parameters of MTP influences should be determined for the considered lifetime of the bridge. Therefore, the main contribution of this study is to propose a new methodology to calculate the statistical parameters of MTP for different time periods. The dataset for this study includes WIM data from 19 stations throughout the United States, which were collected by the Federal Highway Administration over 5 years, with timestamp accuracy of one-hundredth of a second.
机译:公路桥梁的设计和评估需要评估活载,这可能会涉及相当大的不确定性。这些不确定性通常是指车辆数量,车辆重量,车距距离,车辆类型,轴距,轴负载,车辆速度和其他因素。因此,为了进行可靠性分析,有必要将活荷载视为随机变量。多辆卡车在场(MTP)和行进距离也是两个随机变量,应考虑这些变量来评估活载。这项研究的基本目标是使用最近可用的运动称量(WIM)数据更新车道内MTP的统计参数,然后描绘桥长与MTP事件影响之间的关系。但是,由于MTP是随时间变化的变量,因此应在考虑的桥梁使用寿命内确定MTP影响的统计参数。因此,这项研究的主要贡献是提出了一种新的方法来计算不同时期的MTP统计参数。这项研究的数据集包括来自美国19个站点的WIM数据,这些数据是由美国联邦公路管理局历时5年收集的,时间戳精度为百分之一秒。

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