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.

该博士学位项目的总体目的是通过使用带导的超声波和数值建模的相关损伤机理的检测和表征来开发结构高效的纤维金属层压板。这将通过创建协同的损害力学模型来估计限制这些复合系统延展性的机制来完成。然后，将使用引导超声波的新型应用来进行智能结构的结构健康监测。这将允许对缺陷的检测和分类，包括对复合材料几乎看不见的冲击损害，从而导致分层纤维/金属复合系统的发展，这些系统结合了金属的高延展性和韧性，以及纤维增强复合材料的较高刚度和弹性。该项目的范围在以下EPSRC研究领域：1）材料工程 - 复合材料，以及2）机械结构和系统的性能和检查。