CAREER: Toward a Mobile Sensing Platform for Bridge Condition Monitoring

该学院早期职业发展(Career)计划奖的目标是建立一个长期的研究和教育计划，重点是移动传感器在结构健康状况评估中的应用。移动设备中包含了传感功能，这为以过去不可能实现的速率、体积和位置测量结构响应和环境条件提供了一个难以置信的机会。本项目将开发用于验证和验证的分析模型和实验平台，以提高公路桥梁的安全性和可靠性。该项目旨在产生知识并建立必要的基础，以便利用将通过移动传感器进行结构监测的丰富数据。本项目的最终目标是利用这些丰富的数据进行结构状况评估，从而造福于社会。该项目将通过两个具体项目将其研究产品纳入针对低年级学生、代表性不足的学生和社区大学生的综合教育计划：传感器和结构健康监测方面的实践暑期学校，以及社区大学机构的基于项目的研究。该项目旨在产生和管理知识，并为利用移动传感器获得的丰富数据进行结构监测奠定必要的基础。它将检验以下假设：(I)可以使用产生随机不完全数据矩阵的移动传感器的数据来识别桥梁的动力特性，(Ii)携带移动传感器的车辆在桥梁上方的动力相互作用可以精确或近似地与桥梁的运动分离，以及(Iii)原型试验台可以产生数据和程序，以验证使用移动传感器估计的桥梁动力特性的有效性。验证这些假设对于解决使用移动传感器监测结构的技术和数据处理知识差距至关重要。开发了一整套用于了解系统行为的新方法；它们形成了一个使用移动设备来了解基础设施系统性能的独特平台。

The objective of this Faculty Early Career Development (CAREER) Program award is to establish a long-term research and educational program which focuses on the application of mobile sensors for structural health condition assessment. The inclusion of sensing capabilities in mobile devices presents an incredible opportunity for measuring structural response and environmental conditions at rates, volumes and locations not possible in the past. This project will develop the analytical models and experimental platform for validation and verification that will improve safety and reliability of highway bridges. The project aims to produce knowledge and build the foundation necessary for taking advantage of a wealth of data that will become available through mobile sensors for structural monitoring. The ultimate objective of this project is to use this abundant data for structural condition assessment that will benefit the society. The project will incorporate its research products into a comprehensive educational plan for underclassmen, underrepresented and community college students, through two specific programs: a hands-on Summer School in Sensing and Structural Health Monitoring, and Project Based Research at the institution for Community Colleges.The project aims to produce and manage the knowledge, and build the foundation necessary for taking advantage of a wealth of data that will become available through mobile sensors for structural monitoring. It will test the hypotheses that (i) the dynamic properties of a bridge can be identified using data from moving sensors which produce randomly incomplete data matrices, (ii) dynamic interaction of a vehicle carrying mobile sensors over a bridge can be exactly or approximately uncoupled from the motions of the bridge, and (iii) a prototype test bed could produce data and procedures to verify the validity of the estimated dynamic properties of a bridge using mobile sensors. Testing these hypotheses is crucial in addressing the technology and data processing knowledge gaps for using mobile sensors for monitoring structures. An entire class of new methods for understanding the behavior of systems is developed; they form a unique platform that uses mobile devices to understand the performance of infrastructure systems.