Crack-Informed Structural Modelling and Assessment of Existing Concrete Infrastructure

现有混凝土基础设施的裂缝通知结构建模和评估

• 批准号: RGPIN-2021-02642
• 负责人: Hrynyk, Trevor
• 金额: $ 1.89万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=742127
• 关键词: Crack; Informed; Structural; Modelling; Assessment

Civil infrastructure in Canada, such as the Ville-Marie tunnel (Montreal) and the Gardiner Expressway (Toronto), cause economic disruptions and pose undue safety risks as they deteriorate at rates exceeding our ability to replace them. For reinforced concrete (RC) construction, structure health is typically assessed in a qualitative manner using visual benchmarks such as concrete crack lengths, widths, and patterns in combination with condition-rating criteria to classify damage. However, accurately inferring distress severity from visual RC cracking is extremely challenging, requiring consideration of structure and damage details that are typically ignored in the assessment process. To ensure that the limited resources available for managing the nation's built environment are directed where they are needed most, significant research is required to enable reliable RC structural assessments. This means new damage inspection technologies, innovative and capable decision making tools, and novel modelling procedures that utilize observable damage. The long-term goal of this research program is to develop inspection methods that can accurately characterize discernible concrete damage in built RC infrastructure, and tools that employ inspection data to enable reliable damage-based structural assessments. The application areas for these technologies are widespread and, in industries that already employ infrastructure inspections, are highly-conducive to future adoption and implementation. Through the next five years my team will: 1) explore the role of image-based analysis techniques for establishing field-conducive methods of extracting crack feature response data from RC infrastructure, 2) fill key data gaps that are impeding the development of advanced crack-based assessment procedures through the performance of targeted testing activities involving field-representative RC components, and 3) define innovative alternatives to the current state-of-the-art in the assessment of damaged RC infrastructure through the development of crack-based nonlinear finite element analysis techniques and assessment tools that employ discernible concrete cracking features as input. Image-based crack measurement techniques have the potential to significantly advance traditional RC structure inspection methods by providing better resolution monitoring, extracting crack feature data not currently obtained, and removing subjectivity from the process. The modelling tools developed through this research will help ensure that the management of ageing infrastructure, a growing challenge that Canadian engineers are now facing regularly, is done using reliable assessment techniques. This timely research will provide original and impactful structural assessment technologies, and HQP with directly relevant skillsets, to ensure that built structures in Canada exhibiting severe distress are identified, and that resources for infrastructure maintenance are optimally allocated.

加拿大的民用基础设施，例如玛丽城隧道（蒙特利尔）和加德纳高速公路（多伦多），会造成经济混乱，并造成过度的安全风险，因为它们的老化速度超出了我们更换它们的能力。对于钢筋混凝土 (RC) 建筑，通常使用混凝土裂缝长度、宽度和图案等视觉基准，结合状况评级标准对损坏进行分类，以定性方式评估结构健康状况。然而，从视觉 RC 裂纹中准确推断损坏严重程度极具挑战性，需要考虑评估过程中通常被忽略的结构和损坏细节。为了确保将可用于管理国家建筑环境的有限资源用于最需要的地方，需要进行大量研究以实现可靠的钢筋混凝土结构评估。这意味着新的损伤检查技术、创新且强大的决策工具以及利用可观察损伤的新颖建模程序。该研究计划的长期目标是开发能够准确表征已建 RC 基础设施中可识别混凝土损坏的检查方法，以及利用检查数据进行可靠的基于损坏的结构评估的工具。这些技术的应用领域非常广泛，并且在已经采用基础设施检查的行业中，非常有利于未来的采用和实施。在接下来的五年中，我的团队将：1）探索基于图像的分析技术在建立从混凝土基础设施中提取裂纹特征响应数据的现场有效方法中的作用，2）通过执行涉及现场代表性混凝土部件的有针对性的测试活动来填补阻碍先进裂纹评估程序开发的关键数据空白，以及3）定义当前最先进的评估方法的创新替代方案 通过开发基于裂缝的非线性有限元分析技术和评估工具（采用可识别的混凝土裂缝特征作为输入），损坏了 RC 基础设施。 基于图像的裂纹测量技术通过提供更好的分辨率监测、提取当前未获得的裂纹特征数据以及消除过程中的主观性，有可能显着推进传统的 RC 结构检查方法。通过这项研究开发的建模工具将有助于确保使用可靠的评估技术来完成老化基础设施的管理，这是加拿大工程师现在经常面临的日益严峻的挑战。这项及时的研究将提供原创且有影响力的结构评估技术，并为总部提供直接相关的技能组合，以确保识别出加拿大表现出严重损坏的建筑结构，并优化分配基础设施维护资源。