Structural health monitoring of the Confederation Bridge: From innovation to engineering practices

近年来，由于对基础设施的高效、经济管理和可靠性评估的需求日益增加，结构健康监测（SHM）成为研究的热点。作为这项全球研究工作的一部分，卡尔顿大学和卡尔加里大学的研究人员开展了一项大规模的大学-政府-工业研究项目，长期监测联邦大桥自1997年开放以来的表现。为了评估结构的性能，一个复杂的数据采集系统系统地收集了大量的数据。监测项目的主要目标是通过对监测数据进行智能处理，获得有关桥梁健康和/或状况的信息，从而发现可能降低结构设计可靠性和/或使用寿命的结构的意外恶化。加拿大基础设施的安全和保障是我们国家安全政策不可或缺的一部分。因此，对基础设施组件的风险和可靠性进行评估，并具有检测年龄和使用对其风险和可靠性的影响的技术能力，是制定此类安全政策的主要要素和基础。该提案涉及开发工具，以加强加拿大评估其国家基础设施风险和可靠性的能力，并研究尖端数值技术，以检测可能对关键基础设施的安全和保障产生严重影响的事件或现象。该建议还解决了在分布式网络环境中管理大量数据的问题，用于实时评估结构性能和可靠性。本研究将作为一个试验台项目，开发创新的数值技术和算法，推动结构健康监测领域从创新到工程实践。

Structural health monitoring (SHM) has become the subject of intense research in recent years because of the increasing need for efficient and cost-effective management of infrastructure, and assessment of their reliability. As part of this global research effort, researchers at Carleton University and the University of Calgary have carried out a large-scale university-government-industry research project on the long-term monitoring of the performance of the Confederation Bridge since its opening in 1997. Very large amounts of data have been systematically collected by a sophisticated data acquisition system in order to assess the performance of the structure. The main goal of the monitoring project is to obtain information on the health and/or condition of the bridge by intelligent processing of the monitoring data so as to detect unexpected deterioration of the structure that may reduce the design reliability of the structure, and/or its service life.     The Safety and Security of Canada's infrastructure is integral to our National Security Policy.  As such, the assessment of infrastructure components for their risk and reliability, and having the technological capabilities to detect the effects of age and use on their risk and reliability,  are the major elements and fundamental to the formulation of such a security policy.  This proposal addresses the development of tools that strengthen Canadais ability to assess the risk and reliability of its national infrastructure, and research on cutting edge numerical techniques to detect events or phenomena that can have a serious impact on the safety and security of critical infrastructure.  This proposal also addresses the issue of the management of huge amounts of data in a Distributed Networked Environment for the real-time assessment of structural performance and reliability.  The proposed research serves as a test-bed project to develop innovative numerical techniques and algorithms to advance the field of structural health monitoirng from innovations to engineering practice in the field.