Integration of imaging and mechanics for advanced material characterization and structural repair

成像和力学的集成用于先进的材料表征和结构修复

• 批准号: RGPIN-2019-04185
• 负责人: AlMayah, Adil
• 金额: $ 2.26万
• 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: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=748809
• 关键词: Integration; imaging; mechanics; advanced; material

Materials research is at the heart of advances in a broad range of seemingly disparate applications, spanning structures, pavement, automotive and emerging biomedical technologies. For example, Canada's aging infrastructure is deteriorating at a rate that requires immediate repair or renewal, placing a huge strain on our economy and highlighting a critical need for new methods to evaluate and delay structural materials failure. The proposed research program advances concrete material characterization from the conventional `overall' evaluation to a `components-based' characterization. The role of void contents, cracks propagation, corrosion micromechanics and repair schemes on material performance will be investigated. This innovative approach will provide detailed image-based stress distribution and deformation maps to identify failure initiation and propagation. As the program grows, the scope of potential new research directions can expand to include fracture mechanics, steel welding, asphalt and biomaterials. The main objective of the proposed research is to develop a novel approach for mechanical characterization of concrete that merges imaging, computational mechanics, and experiments. The three dimensional (3D) configuration, spatial distribution and propagation of cracks and inclusions, such as voids and corrosion products, will be monitored by imaging. Stress and strain of aggregate, reinforcement and fiber reinforced polymer (FRP) sheet will be calculated. Such investigations will pave the way for optimized material mix design and repair schemes, and will provide comprehensive understanding of the role of each component's strength, morphology, and surface texture on material behaviour. Experimental testing, 3D imaging and sample-specific finite element (FE) modeling will be implemented. Microscale images will be acquired using a computed tomography imaging system to identify spatial and geometric configurations of aggregate, corrosion product, voids and cracks. The images will be transferred to detailed 3D and components-based FE models to investigate intensity and locations of stress concentration. Each of the components will be modeled using its own mechanical properties, spatial distribution and geometry. In addition, each element's interaction with other components will be modeled using interfacial mechanics to investigate debonding behaviour. The proposed research will provide unique training opportunities in imaging, mechanics, and emerging techniques of image-mechanics integration that prepare graduates to work in a number of fields that strive to find innovative solutions, including non-destructive testing, manufacturing, structural engineering, and biophysics. This innovative research will have a direct impact on extending the service life and increasing the load carrying capacity of existing and renewed infrastructures in Canada and the world, while reducing the cost of repair and renewal by efficient use of materials.

材料研究是各种看似不同的应用进步的核心，涵盖结构、路面、汽车和新兴生物医学技术。例如，加拿大老化的基础设施正在以需要立即修复或更新的速度恶化，这给我们的经济带来了巨大的压力，并突出表明迫切需要新的方法来评估和延迟结构材料的失效。拟议的研究计划将具体材料表征从传统的“整体”评估推进到“基于组件”的表征。将研究空隙含量、裂纹扩展、腐蚀微观力学和修复方案对材料性能的作用。这种创新方法将提供详细的基于图像的应力分布和变形图，以识别故障的引发和传播。随着该项目的发展，潜在的新研究方向的范围可以扩大到包括断裂力学、钢焊接、沥青和生物材料。本研究的主要目标是开发一种结合成像、计算力学和实验的混凝土力学表征新方法。三维 (3D) 结构、空间分布以及裂纹和夹杂物（例如空隙和腐蚀产物）的扩展将通过成像进行监测。将计算骨料、钢筋和纤维增强聚合物 (FRP) 板的应力和应变。此类研究将为优化材料混合设计和修复方案铺平道路，并将全面了解每个组件的强度、形态和表面纹理对材料行为的作用。 将实施实验测试、3D 成像和特定样品的有限元 (FE) 建模。将使用计算机断层扫描成像系统获取微尺度图像，以识别骨料、腐蚀产物、空隙和裂缝的空间和几何结构。这些图像将被传输到详细的 3D 和基于组件的 FE 模型，以研究应力集中的强度和位置。每个组件都将使用其自身的机械特性、空间分布和几何形状进行建模。此外，每个元素与其他组件的相互作用将使用界面力学进行建模，以研究脱粘行为。 拟议的研究将提供成像、力学和图像机械集成新兴技术方面的独特培训机会，使毕业生为在许多领域工作做好准备，努力寻找创新解决方案，包括无损检测、制造、结构工程和生物物理学。这项创新研究将对延长加拿大和世界各地现有和更新的基础设施的使用寿命和提高承载能力产生直接影响，同时通过有效利用材料来降低维修和更新的成本。