详情

Field deployment and verification of an AI-based crowdsensing bridge condition assessment platform

项目名称：	Field deployment and verification of an AI-based crowdsensing bridge condition assessment platform
摘要：	Bridge condition assessment and remaining useful life estimation is critical for maintaining functionality and enhancing the resilience of existing highway infrastructure in the United States. Currently, there are approximately 617,000 bridges in the U.S. that require periodical condition assessment and maintenance (artba [2021]). The current practice employed for remaining useful life estimation involves measuring the number of load cycles that a structure of interest is subjected to through approaches such as rainflow counting of strain. This typically entails deploying a fixed network of strain gauges on a bridge. However, scalability is an issue for this paradigm, especially owing to high costs and efforts associated with deployment and maintenance of wiring, sensors and battery that powers the monitoring system. To overcome the existing challenges and extend this type of analysis to virtually all bridges with little operational cost, this project proposes a large-scale field implementation of a mobile sensing-based paradigm that harnesses artificial intelligence for condition assessment of an inventory of bridges. This will facilitate the use of crowdsourced data for real-time bridge health assessment at unprecedented rates, resolution and scales
状态：	Active
资金：	194865
资助组织：	Office of the Assistant Secretary for Research and Technology
管理组织：	Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)
项目负责人：	Donnell, Eric T
执行机构：	Lehigh University
主要研究人员：	Pakzad, Shamim N；Takac, Martin
开始时间：	20220106
预计完成日期：	20230705
主题领域：	Bridges and other structures；Highways；Maintenance and Preservation