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

开发桥梁动态称重 (B-WIM) 健康监测系统以确保桥梁基础设施安全

• 批准号: 1100742
• 负责人: Nasim Uddin
• 金额: $ 35万
• 依托单位: University of Alabama at Birmingham
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2016-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1100742&HistoricalAwards=false
• 关键词: Developing; Bridge; Weigh; Motion; WIM

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.

这项拨款为下一代桥梁动态称重（B-WIM）系统的研究提供资金。该系统采用双重方法解决桥梁安全问题：控制超载卡车和对桥梁的安全评估/监测。该研究将基于微分方程耦合系统的数学建模，该系统代表了移动卡车与桥梁的动态相互作用，同时考虑了未知道路轮廓和卡车动态特性带来的不确定性。道路轮廓可以测量，但由于它可能会随着时间的推移而改变，而且卡车在其车道上的确切横向位置是未知的，因此该系统存在随机成分。因此，卡车轮胎和悬架的弹簧和阻尼特性将使用贝叶斯更新方法对卡车车队的特性进行概率处理。该系统在检测到其他小型车辆干扰信号时遇到的困难，将通过一种被称为“拒绝选项分类”的新统计领域来解决。通过这种方式，车队可以模拟各种情况，模拟将通过独立的现场试验进行补充，以进行验证。该项目旨在开发一个有效的桥梁监测和保护系统，而不需要大量的人力。该项目由英国和爱尔兰的资助机构共同资助，利用国家科学基金会的投资，将产生广泛的衍生技术。该计划的潜在回报可能是将技术快速插入现有的桥梁维护系统，这是美国和欧洲大部分桥梁库存所需要的。此外，该系统的广泛部署有可能大大提高超载执法的有效性，并提高所有用户的道路安全。