A DIGITAL IMAGE CORRELATION SYSTEM FOR ADVANCED PERFORMANCE ASSESSMENT OF STRUCTURES
用于高级结构性能评估的数字图像相关系统
基本信息
- 批准号:RTI-2022-00588
- 负责人:
- 金额:$ 10.45万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Research Tools and Instruments
- 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:
- 关键词:
项目摘要
Canada's infrastructure (bridges, hospitals, schools, etc.) represents a valuable public asset worth more than $850 billion. To ensure safety and resilience of the infrastructure, understanding performance of structures under various hazards (e.g., earthquake, fire) is crucial. The performance and resiliency of a structure is typically measured in terms of displacement and damage characterization. Conventional measurement methods (strain gauges, manual inspection, etc.) are labour intensive, use contact-based sensors, and can only provide discrete measurements at specific and limited points. Because of these limitations they cannot accurately quantify system-level performance of structures particularly when applied to advanced dynamic testing techniques (hybrid simulation and shake table tests) or under extreme loading conditions. This application involves acquiring a multi-camera digital image correlation (DIC) equipment that allows researchers to accurately and remotely measure 3D displacements and damage progression of the entire 360o surface of large-scale test specimens enabling complete performance evaluation of structures. The equipment is the first of its kind that is specially configured for shake table testing and hybrid (analytical-experimental) simulation under both low-speed (e.g., fire) and high-speed (e.g., earthquake) loading conditions. This unique system enables researchers to measure and investigate the system-level structural behavior under various individual hazard events or complex multi-hazard scenarios (e.g., fire following earthquake) to a degree that was not possible before. Acquiring the equipment will greatly enhance the competitive edge of the applicants' research programs to innovate in the area of infrastructure resilience. With the help of the equipment the applicants will develop breakthrough technologies, design methods, and assessment tools to advance the goals of maintenance and repair of existing infrastructure and design of new high-performance infrastructure. Also, the addition of the equipment to the applicants' research groups will enrich the learning environment by enabling HQP to better understand performance of structures in 3D under complex hazard events leading to high-level skills in the areas of design, safety assessment, maintenance and repair of structures. These skills are highly valued by industry and government organizations and contribute to the future success of HQP. Additionally, the portability of the equipment and its flexibility in the deployment configuration will provide unique opportunities for the research team to collaborate across different engineering disciplines and institutions. Faculty members from other programs including Architectural Conservation and Sustainability Engineering, Pavement Engineering, Computer Science, and Mechanical and Aerospace Engineering have already provided concrete plans to use the equipment in their research and training activities.
加拿大的基础设施(桥梁,医院,学校等)代表了价值超过8500亿美元的宝贵公共资产。为了确保基础设施的安全性和韧性,了解各种危害(例如,地震,火灾)下结构的性能至关重要。结构的性能和弹性通常是根据位移和损伤表征来衡量的。常规测量方法(应变计,手动检查等)是劳动密集型,使用基于接触的传感器,并且只能在特定和有限点上提供离散的测量。由于这些局限性,它们无法准确量化结构的系统级性能,特别是当应用于高级动态测试技术(混合模拟和摇台测试)或在极端负载条件下时。该应用涉及获取多相机数字图像相关(DIC)设备,该设备使研究人员能够准确,远程测量3D位移以及整个360O表面的大规模测试样品表面的损伤进程,从而实现完整的结构性能评估。该设备是在低速(例如火灾)和高速(例如地震)加载条件下专门配置用于摇桌测试和混合(分析实验)模拟的摇桌测试和混合(分析性实验)模拟的第一类设备。这个独特的系统使研究人员能够在各种单独的危险事件或复杂的多危险场景(例如,地震后发生的火灾)下测量和研究系统级的结构行为,以至于以前是不可能的。获取设备将大大提高申请人研究计划的竞争优势,以在基础设施弹性方面进行创新。借助设备的帮助,申请人将开发突破性技术,设计方法和评估工具,以促进现有基础设施的维护和维修目标以及新的高性能基础设施的设计。此外,在申请人研究小组中增加设备将通过使HQP能够更好地了解3D结构的性能来丰富学习环境,从而在复杂的危险事件下,在设计,安全评估,维护和修复结构的领域具有高级技能。这些技能受到行业和政府组织的高度重视,并为HQP的未来成功做出了贡献。此外,设备的可移植性及其在部署配置中的灵活性将为研究团队提供独特的机会,可以在不同的工程学科和机构进行协作。来自其他计划的教职员工,包括建筑保护和可持续性工程,路面工程,计算机科学以及机械和航空航天工程,已经提供了具体计划,以在其研究和培训活动中使用设备。
项目成果
期刊论文数量(0)
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{{ truncateString('sadeghian, vahid', 18)}}的其他基金
Innovative Analytical and Experimental Techniques for Performance Assessment of Deteriorated and Repaired Reinforced Concrete Structures
劣化和修复钢筋混凝土结构性能评估的创新分析和实验技术
- 批准号:
RGPIN-2020-06476 - 财政年份:2022
- 资助金额:
$ 10.45万 - 项目类别:
Discovery Grants Program - Individual
Innovative Analytical and Experimental Techniques for Performance Assessment of Deteriorated and Repaired Reinforced Concrete Structures
劣化和修复钢筋混凝土结构性能评估的创新分析和实验技术
- 批准号:
RGPIN-2020-06476 - 财政年份:2021
- 资助金额:
$ 10.45万 - 项目类别:
Discovery Grants Program - Individual
Innovative Analytical and Experimental Techniques for Performance Assessment of Deteriorated and Repaired Reinforced Concrete Structures
劣化和修复钢筋混凝土结构性能评估的创新分析和实验技术
- 批准号:
RGPIN-2020-06476 - 财政年份:2020
- 资助金额:
$ 10.45万 - 项目类别:
Discovery Grants Program - Individual
Innovative Analytical and Experimental Techniques for Performance Assessment of Deteriorated and Repaired Reinforced Concrete Structures
劣化和修复钢筋混凝土结构性能评估的创新分析和实验技术
- 批准号:
DGECR-2020-00417 - 财政年份:2020
- 资助金额:
$ 10.45万 - 项目类别:
Discovery Launch Supplement
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