IMPROVING DECISION MAKING FOR INFRASTRUCTURE MANAGEMENT

改善基础设施管理决策

• 批准号: RGPIN-2020-06456
• 负责人: Chouinard, Luc
• 金额: $ 3.13万
• 依托单位: McGill University
• 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=741223
• 关键词: IMPROVING; DECISION; MAKING; INFRASTRUCTURE; MANAGEMENT

Challenges in managing our infrastructure are associated with the growing costs in maintaining its level of performance in a changing climate, the associated uncertainties and growing budget constraints. For example, the MTQ manages over 5500 major structures on its network with an additional 4300 structures from the municipal network. The annual budget for the maintenance of these structures is over 640M$ and is predicted to increase with ageing of the infrastructure. The proposed research program is an evolution of the subjects studied in the previous Discovery Grant and is focused on improving the effectiveness and efficiency of infrastructure asset management by reducing uncertainties related to the evaluation of the current condition and residual life of infrastructure components (e.g. bridges) and improving decision analysis for the scheduling of maintenance, repair and replacement of components through network analysis. The industry is increasingly relying on structural health monitoring, non-destructive techniques, and numerical models to reduce uncertainties on the current and future condition of structural components and to supplement information obtained from visual inspections. The ability to detect structure deterioration at earlier stages can facilitate implementation of appropriate remedial measures and prevent this damage from becoming critical. The research will focus on evaluating the potential of the impulse response (IR) test and vibration analysis for the condition assessment of concrete plates and to develop guidelines as a function of the type, location and severity of defects for field investigations and quality control. The ability to accurately predict the residual life of a component given its current condition is the next important element in preventing damage to reach critical levels and avoid the spiralling high repair costs that we are observing. Current Bridge Management Systems rely mainly on historical records of condition states derived from visuals inspections to predict the residual life of components using Markov Chains models. This approach does not favor preventive maintenance since visual signs of deterioration occur only once it has reached critical levels and cannot be used for planning future interventions in the context of climate change. An approach based on physical and numerical models of deterioration is proposed for predicting condition states for different climate change scenarios. Finally, recent experience with major repairs in Montreal highlight the lack of planning and coordination of major rehabilitation projects and their negative impact on traffic and the economy in general. The last element of the research proposal is to address the issue of planning interventions in space and time over a network by considering the uncertainties on the current state of bridges, their residual life, climate change scenarios, financial constraints and impacts on users.

管理基础设施的挑战与在不断变化的气候、相关的不确定性和日益增长的预算限制下维持其性能水平的成本不断增加有关。例如，MTQ在其网络上管理着5500多个主要结构，另外还有4300个来自市政网络的结构。这些结构的年度维护预算超过6.4亿美元，预计随着基础设施的老化，预算还会增加。拟议的研究计划是对先前发现基金研究主题的演变，重点是通过减少与基础设施组件（如桥梁）的现状和剩余寿命评估相关的不确定性，以及通过网络分析改进维护、维修和更换组件的调度决策分析，提高基础设施资产管理的有效性和效率。该行业越来越依赖于结构健康监测、非破坏性技术和数值模型，以减少结构部件当前和未来状况的不确定性，并补充从目视检查中获得的信息。在早期阶段检测结构恶化的能力可以促进实施适当的补救措施，并防止这种损害变得严重。该研究将侧重于评估脉冲响应（IR）测试和振动分析对混凝土板状态评估的潜力，并制定指导方针，作为现场调查和质量控制缺陷的类型，位置和严重程度的函数。在给定组件当前状态的情况下，准确预测其剩余寿命的能力是防止损坏达到临界水平并避免我们所观察到的螺旋式高维修成本的下一个重要因素。目前的桥梁管理系统主要依赖于从视觉检查中获得的状态状态的历史记录，使用马尔可夫链模型来预测部件的剩余寿命。这种方法不利于预防性维护，因为只有在达到临界水平时才会出现退化的视觉迹象，并且不能用于规划气候变化背景下的未来干预措施。提出了一种基于退化的物理和数值模型的方法来预测不同气候变化情景下的条件状态。最后，最近在蒙特利尔进行重大维修的经验突出表明，缺乏对重大修复项目的规划和协调，以及这些项目对交通和一般经济的不利影响。研究建议的最后一个要素是通过考虑桥梁当前状态的不确定性、剩余寿命、气候变化情景、财务限制和对用户的影响，解决网络空间和时间上的规划干预问题。