Bridge Monitoring and Prognostication Workshop; Minneapolis, MN; September 2008

摘要(250字)：NSF长期桥梁监测和预测研讨会随着国家基础设施的老化和对基础设施需求的加剧，越来越明显的是，迫切需要能够准确评估桥梁系统的健康和安全，以确保生命安全，并优先分配有限的资源来改造和更换系统。人们越来越有兴趣将智能桥梁技术纳入桥梁系统中，以标记需要立即注意的异常情况。目前的系统具有严重的局限性，涉及从离散传感器获得的有限知识、大量信息的传输和存储、数据的解释以及根据结果做出的决策的优先顺序。这次讲习班将汇集20名与会者和最多20名观察员，他们来自不同学科，在以下一个或多个领域具有个人专长：传感器、网络/通信、数据解释/决策，目的是确定在这些领域的一体化问题上的技术挑战和研究需求，以及各个专题领域的研究需求。研讨会将产生一份文件，其中将提供一份明确的优先事项清单，可用作资源，向国家科学基金会和更广泛的研究社区的相关项目通报与桥梁检测和预测相关的短期和长期研究需求以及需要解决的重大挑战，这可能会指导支持这一努力所需的跨学科资源。将特别强调与各主要专题领域的整合有关的研究需要。

ABSTRACT (250 words):NSF Long-Term Bridge Monitoring and Prognostication Workshop As the nation's infrastructure ages and as demands on the infrastructure intensify, it has become increasingly evident that there is an urgent need to be able to accurately assess the health and safety of bridge systems to ensure life safety and to prioritize the allocation of limited resources to retrofit and replace systems. There is increasing interest in incorporation of smart bridge technology within bridge systems to flag abnormalities that require immediate attention. Current systems have severe limitations associated with limited knowledge obtained from discrete sensors, transmission and storage of large amounts of information, interpretation of the data, and prioritization of decisions to be made based on the results. This workshop will bring together 20 participants and up to 20 observers from a broad range of disciplines with individual expertise in one or more of the following areas: sensors, networking/communication, data interpretation/decision making, with the purpose of identifying technical challenges and research needs regarding integration issues across these fields as well as research needs within the individual topic areas. The workshop will result in a document which will provide a clear list of priorities which can be used as a resource to inform the associated programs at NSF and broader research community of the short and long-term research needs and grand challenges to be addressed associated with bridge sensing and prognostication which might guide the cross-disciplinary resources required to support the effort. Particular emphasis will be placed on the research needs associated with the integration across the major topic areas.