Detection and identification of damage in composite fibre/metal laminate structures using guided ultrasonic waves

使用引导超声波检测和识别复合纤维/金属层压结构中的损伤

• 批准号: 2436340
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2436340
• 关键词: Detection; identification; damage; composite; fibre

The overarching aim of this PhD project is to develop structurally efficient fibre metal laminates, by investigating and improving the detection and characterisation of the relevant damage mechanisms using guided ultrasonic waves and numerical modelling. This will be done by creating a synergistic damage mechanics model to estimate the mechanisms that limit the ductility of these composite systems. The novel application of guided ultrasonic waves will then be used to conduct structural health monitoring of smart structures. This will allow detection and classification of defects including barely visible impact damage on the composite, leading to the development of layered fibre/metal composite systems that combine the high ductility and toughness of metals with the high stiffness and resilience of fibre reinforced composites. The scope of the project is in the following EPSRC research areas: 1) Materials engineering - composites, and 2) Performance and inspection of mechanical structures and systems.

该博士项目的总体目标是开发结构高效的纤维金属层压板，通过研究和改进使用引导超声波和数值建模的相关损伤机制的检测和表征。这将通过创建一个协同损伤力学模型来估计限制这些复合材料系统的延性的机制。引导超声波的新应用，然后将用于进行智能结构的结构健康监测。这将允许对缺陷进行检测和分类，包括复合材料上几乎不可见的冲击损伤，从而导致分层纤维/金属复合材料系统的发展，该系统将金属的高延展性和韧性与纤维增强复合材料的高刚度和弹性相结合。该项目的范围是在以下EPSRC研究领域：1）材料工程-复合材料，和2）机械结构和系统的性能和检测。