Developing Bridge Weigh-in-Motion (B-WIM) Health Monitoring Systems for Bridge Infrastructure Safety

这笔赠款为下一代桥梁动态称重(B-WIM)系统的研究提供资金。该系统采用双重办法解决桥梁安全问题：控制超载卡车和桥梁安全评估/监测。这项研究将基于耦合的微分方程组的数学建模，该微分方程组表示移动的卡车与桥梁的动态相互作用，同时考虑由于未知的道路轮廓和动态卡车特性而产生的不确定性。道路轮廓是可以测量的，但由于它可能会随着时间的推移而变化，而且卡车在车道上的确切横向位置是未知的，所以系统中存在随机成分。因此，卡车轮胎和悬架的弹簧和减振性能将被概率地处理，使用针对卡车车队属性的贝叶斯更新方法。当该系统检测到存在干扰信号的其他较小车辆时，与该系统相关的困难将使用称为“拒绝选项的分类”的新的统计领域来解决。通过这种方式，可以模拟车队以代表一系列情况，并将以独立的现场试验作为模拟的补充，以进行验证。该项目旨在开发一种既有效又不耗费人力的桥梁监测和保护系统。该项目由利用NSF投资的英国和爱尔兰融资机构联合资助，将产生一系列副产品技术。该计划的潜在回报可能是将技术快速插入到现有的桥梁维护系统中，这是美国和欧洲的大部分桥梁库存所需的。此外，广泛部署这一系统有可能极大地提高超载执法的有效性，并提高所有用户的道路安全。

This grant provides funding for research on the Next Generation Bridge Weigh-in-Motion (B-WIM) system. This system addresses the bridge safety problem using a two-fold approach: the control of overloaded trucks and the safety assessment/monitoring of bridges. The research will be based on the mathematical modeling of a coupled system of differential equations that represent the dynamic interaction of a moving truck with a bridge while accounting for uncertainties that are due to the unknown road profile and dynamic truck properties. The road profile can be measured but, as it is likely to change over time and the exact transverse location of the truck in its lane is unknown, there is a stochastic component of the system. Therefore, the spring and damping properties of the truck tire and suspension will be treated probabilistically, using a Bayesian Updating approach for the properties of the truck fleet. The difficulties associated with this system when it detects the presence of other smaller vehicles that interfere with the signal will be addressed using a new field of statistics known as the "Classification with a Reject Option". In this way, fleets of vehicles can be simulated to represent a range of situations and the simulations will be complemented by independent field trials for validation purposes. This project seeks to develop a bridge monitoring and protection system that is effective without being manpower intensive. This project, jointly funded by UK and Ireland funding agencies that leverage the NSF investment, will generate a broad spectrum of spin-off technologies. The potential payoff of this program could be the rapid technology insertion into existing bridge maintenance systems that are needed for much of the bridge stock in the USA and Europe. Moreover, wide deployment of this system has the potential to greatly improve the effectiveness of overload enforcement and to increase road safety for all users.