A Sensor Platform for Subsurface and Aboveground Inspection of Bridges

用于桥梁地下和地上检测的传感器平台

• 批准号: RTI-2019-00077
• 负责人: Narasimhan, Sriram
• 金额: $ 6.96万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=660648
• 关键词: Sensor; Platform; Subsurface; Aboveground; Inspection

Recent high-profile bridge failures such as the railway bridge over Bow River in Calgary in 2013 and a major roadway in Genoa, Italy, in 2018 have brought the issue of bridge maintenance to the fore. During an interview to the Canadian Broadcasting Corporation soon after the railway bridge incident a railway company official said, "[w]hen you have water up so high, and you can't get a diver in the water … and you can't get any instrumentation in the water, how do you tell if there is a problem below? You look at the rails … if the rails are level, nothing is happening below." ******Current inspection and bridge management strategies rely on visual inspections, resulting in qualitative and subjective inspection data. Visual inspections cannot uncover many hidden deterioration mechanisms such as foundation scour. Furthermore, the simplistic state-based deterioration models currently being used lack the ability to reliably address the evolution of many structural deterioration mechanisms. The applicant and his collaborators are working on technologies which overcome such deficiencies in current inspection and management practices. ******Acquiring quantitative inspection data from bridges spanning water bodies (e.g., rivers, streams), especially for those damage mechanisms occurring under water such as scour and degradation of piers, is challenging. However, without such data, it is not possible to calibrate and validate quantitative decision-support tools being developed by the applicants needed to maintain and inspect bridges reliably. The system being requested will be comprised of a mobile surface vehicle, outfitted with several sensors including sonar, vision, lidar and thermal. This platform can be used to build maps which can be interrogated using sophisticated computer vision algorithms being developed by the applicants' teams in order to detect and quantify damage to elements, thereby providing the basis to validate probabilistic degradation models being developed by them. ******This system will present the first of this kind capability and will support the Canada Research Chair, Discovery Grant and the collaborative activities of the applicant. Three graduate student trainees will work on developing this platform and in using the data so acquired to inform probabilistic deterioration models for bridge maintenance planning. The inter-disciplinary skill set as a result of the proposed activities will impart the necessary skills and prepare them for the jobs of tomorrow. ******Impacts of climate change are already being manifested through increased rates of flooding, thereby putting a large number of bridges spanning rivers and streams in Canada and world-wide at risk. Hence this research is both timely and beneficial, as the activities proposed by the applicant and his team would support and drastically improve current inspection and bridge management strategies for such vulnerable bridges in Canada and elsewhere.********

2013年，最近的高调桥梁故障，例如2013年卡尔加里的鲍尔河（Bow River）的铁路桥，并于2018年在意大利热那亚（Genoa）的一条主要道路使桥梁维护问题脱颖而出。铁路桥事件事件发生后不久，一名铁路公司官员说：“ w]他说，您无法在水中吸引水……您无法在水中遇到任何乐器，您如何告诉下面的问题？如果您在轨道上遇到问题？ *****当前的检查和桥梁管理策略依赖于视觉检查，从而产生质量和主题检查数据。视觉检查无法发现许多隐藏的定义机制，例如基础冲刷。此外，当前使用的简单基于状态的定义模型缺乏可靠地解决许多结构确定机制的演变的能力。申请人及其合作者正在研究克服当前检查和管理实践中这种缺陷的技术。 *****从跨越水体（例如河流，溪流）中获取定量检查数据，尤其是对于在水下发生的损坏机制（例如擦洗和码头降解）的损害机制是挑战。但是，没有这样的数据，就无法校准和验证由可靠维护和检查桥梁开发的定量决策支持工具。要要求的系统将完成移动地面车辆，并配备了多个传感器，包括声纳，视觉，激光雷达和热力。该平台可用于构建地图，可以使用申请人团队开发的复杂计算机视觉算法进行询问，以检测和量化对元素的损害，从而提供了验证概率降低模型的基础。 *****该系统将介绍此类功能的第一个功能，并将支持加拿大研究主席，发现赠款和适用的协作活动。三名研究生学员将致力于开发此平台，并使用如此获取的数据来为桥梁维护计划提供信息。拟议活动的跨学科技能集将赋予必要的技能，并为明天的工作做好准备。 *****气候变化的影响已经通过增加的洪水量来表现出来，从而使加拿大河流和溪流的大量桥梁造成了危险。因此，这项研究既及时又有益，因为申请人及其团队提出的活动将支持并大大改善当前的检查和桥梁管理策略，并为加拿大和其他地方的此类脆弱的桥梁提供了。****