Developing Slope Asset Management Tools Considering Geotechnical and Remote Sensing Data for Transportation Infrastructure

考虑交通基础设施的岩土工程和遥感数据开发斜坡资产管理工具

• 批准号: RGPIN-2019-05668
• 负责人: Hutchinson, DJean
• 金额: $ 3.13万
• 依托单位: Queen's 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=738440
• 关键词: Developing; Slope; Asset; Management; Tools

Transportation infrastructure is a critical strategic asset as defined by the Government of Canada. In the proposed program, we are focused on the management of railway and highway corridors exposed to potential hazards originating from rock slopes - termed Geotechnical Assets (GA). Geotechnical Asset Management (GAM) is increasingly being adopted by managers of transportation corridors, with development in the evaluation of asphalt, bridges and culverts. Design techniques and methods for testing the condition of these assets are established, for example the Pavement Condition Index demonstrates a rapid decline in quality if maintenance is not done at a critical time. Applying these concepts to GAs is the emerging research topic in this field. Geotechnical Assets, in particular slopes, are less well understood due to the inherent variability in the materials which are largely hidden from view within the slope, and the lack of specific and reliable understanding of the influence of repeated events that trigger failures, leading to progressive deterioration in the material strength and slope condition. GAM is required to understand present condition and risk, prioritize maintenance and improve the life cycle. The potential for cut slope failure is often estimated using qualitative rating systems: where higher failure probability slopes are identified, detailed work is done to assess the hazard in more detail and to devise mitigation strategies, which may include monitoring, warning, protection or support. The consequence of failing to detect impending failure or  implement effective solutions, is the impact of unexpected and damaging landslide events on the transportation corridor. This may lead to loss of infrastructure capacity while emergency repairs are made, damage that extends beyond the infrastructure, financial loss, injury and in extreme cases, fatalities. In this project, we will define rock slope "types", representative of expected change in behaviour and condition over time. The condition curves defined will guide evaluation and mitigation of the GA slopes, in order to reduce unexpected failures, optimise expenditures and guide risk based decision making. Using the remote monitoring techniques we have developed using LiDAR and photogrammetry will permit us to evaluate infrastructure slope behaviour in a variety of geological and slope management settings, considering our ongoing work on rock slopes in Canada and monitoring data collected from slopes worldwide. From this analysis, we will also define the factors that influence rock slope condition curves, including engineering mitigation works. Using game engine physics based simulation tools, calibrated on rock slopes, we will assess how well the condition curves represent future slope behaviour. This should lead to a change in policy that encourages agencies to take a forward looking approach to asset management.  The proposed program will train 1PDF, 3PhD, 5MASc and 4UG students.

运输基础设施是加拿大政府定义的关键战略资产。在拟议的计划中，我们专注于铁路和高速公路走廊的管理，暴露于源自岩石插槽的潜在危害 - 称为岩土资产（GA）。岩土资产管理（GAM）越来越多地被运输走廊的管理者采用，并在评估沥青，桥梁和涵洞的评估方面采用。建立了测试这些资产状况的设计技术和方法，例如，路面条件指数表明，如果在关键时间未进行维护，则质量迅速下降。将这些概念应用于天然气是该领域的新兴研究主题。由于材料的继承可变性在很大程度上是在斜坡上隐藏的，因此缺乏对触发故障的重复事件的影响，导致材料强度和斜率条件的逐步确定，岩土资产，尤其是插槽，对材料的继承变异性很大，对材料的继承可变性很少。需要GAM了解表现条件和风险，优先考虑维护并改善生命周期。经常使用定性评级系统估算剪切斜率故障的潜力：在确定较高的故障概率插槽的情况下，进行详细评估危害并设计缓解策略的详细工作，其中可能包括监视，警告，保护或支持。未能检测到即将发生故障或实施有效解决方案的后果是意外和破坏性滑坡事件对运输走廊的影响。这可能会导致基础设施能力的损失，同时进行紧急维修，损害超出基础设施，财务损失，伤害以及在极端情况下，死亡。在这个项目中，我们将定义岩石斜坡“类型”，代表随着时间的推移行为和状况的预期变化。定义的条件曲线将指导GA插槽的评估和缓解措施，以减少意外失败，优化支出和指导基于风险的决策。考虑到我们在加拿大的岩石插槽中正在进行的工作以及从全球范围内收集的数据，使用我们使用LiDAR和摄影开发的远程监控技术，可以使我们能够评估各种地质和坡度管理环境中的基础设施斜率行为。通过此分析，我们还将定义影响岩石斜率条件曲线的因素，包括缓解工程。使用基于游戏引擎物理学的仿真工具，在岩石插槽上校准，我们将评估条件曲线表示未来斜率行为的程度。这应该导致政策的变化，鼓励机构采用前瞻性方法进行资产管理。拟议的计划将培训1PDF，3PHD，5MASC和4EG学生。