Condition Monitoring of Concrete Structures

混凝土结构的状态监测

• 批准号: RGPIN-2020-06648
• 负责人: Ghrib, Faouzi
• 金额: $ 1.89万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=749049
• 关键词: Condition; Monitoring; Concrete; Structures

Canadian aged infrastructures are showing signs of deterioration and damage due to various effects. The 2016 Canadian Infrastructure Report Card (CIRC) concluded that: "under current practices (investment, operations, maintenance), the majority of the infrastructures, even if in good to very good condition today, will require increasingly larger investments as they age." In the particular case for bridges, the CIRC observed that the actual average annual reinvestment rate of bridges is 0.8%, whereas asset management practitioners typically target a reinvestment rate for bridges in the range of 1.0% to 1.7%. This deficit of the actual investment will lead inevitably to prioritizing maintenance projects. For any decision making concerning structural problems, effective approaches are needed for assessing the accumulated damage using advanced sensing and computational technologies. Without the proper advanced engineering tools, the evaluation of the state of infrastructures can be costly and prone to error. Structural Health Monitoring (SHM) has become a major component to ensure the safety of infrastructures. The goals of SHM can be outlined as: (i) cost effective assessment of structural performance, (ii) detection and localization of damage, and (iii) structural health prognosis. An important component of the SHM is system identification, which focuses on developing an effective and reliable model of the structure through response measurements. Structural system identification requires collecting data from existing structures such as displacement, acceleration and strains. Until very recently, the most common monitoring of infrastructures was carried out using visual examination by trained engineers. With the development of technologies, various other methods have been introduced in the realm of SHM. Nondestructive monitoring techniques used previously included acoustics, thermography, Xrays, images processing and many others which required direct access to all the parts of the structure. This condition is not possible to achieve in case of complex structures. The present proposal attempts to integrate novel technologies including image processing to study specific SHM related problems in structures. The research program focuses on advancing knowledge on SHM applications in accessing the structural integrity of infrastructures. The short term objectives are: (i) to develop a methodology for evaluating damage in existing concrete structures including computer vision-based technology, (ii) to establish a diagnostic tool to evaluate the extension of induced damage in concrete structures, and (iii) to train Highly Qualified Personal (HQP) on the usage of modern technologies in SHM. The long term objective of the research proposal aims at settling the base for developing an integrated tool for SHM.

加拿大老化的基础设施显示出由于各种影响而导致的恶化和损害的迹象。 2016年加拿大基础设施报告卡（CIRC）得出结论：“在当前的做法（投资，运营，维护）下，大多数基础设施，即使今天处于良好状态，也需要随着年龄的增长而越来越大的投资。”在桥梁的特殊情况下，CIRC观察到，实际的平均年平均桥梁年平均再投资率为0.8％，而资产管理从业人员通常以1.0％至1.7％的桥梁的桥梁为目标。对实际投资的这种赤字将不可避免地优先考虑维护项目。对于有关结构问题的任何决策，需要采用有效的方法来评估使用高级传感和计算技术的累积损害。如果没有适当的高级工程工具，对基础架构状态的评估可能会昂贵且容易出错。结构性健康监测（SHM）已成为确保基础设施安全的主要组成部分。 SHM的目标可以概述为：（i）对结构性绩效的成本效益评估，（ii）损害的检测和定位，以及（iii）结构性健康预后。 SHM的一个重要组成部分是系统识别，该识别的重点是通过响应测量来开发有效且可靠的结构模型。结构系统识别需要从现有结构（例如位移，加速度和应变）中收集数据。直到最近，使用训练有素的工程师的视觉检查对基础设施进行了最常见的监测。随着技术的发展，SHM领域中已经引入了其他各种方法。以前使用的无损监视技术包括声学，热成像，X片，图像处理以及许多其他需要直接访问结构所有部分的方法。如果结构复杂，则无法实现这种情况。本提案试图整合新的技术，包括图像处理，以研究结构中的特定SHM相关问题。该研究计划着重于促进有关SHM应用程序的知识，以访问基础架构的结构完整性。短期目标是：（i）开发一种评估包括基于计算机视觉技术在内的现有混凝土结构的损害的方法，（ii）建立一种诊断工具，以评估混凝土结构中诱导损害的扩展，以及（iii）培训有关SHM现代技术使用的高素质个人（HQP）。研究建议的长期目标旨在解决为SHM开发集成工具的基础。