Multiscale data-driven failure prediction of hydrogen composite vessels under static and dynamic impact loading

静态和动态冲击载荷下氢复合材料容器的多尺度数据驱动失效预测

• 批准号: EP/Y024567/1
• 负责人: Dongmin Yang
• 金额: $ 25.55万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY024567%2F1
• 关键词: Multiscale; data; driven; failure; prediction

As a key part of the fuel cell vehicles (FCVs), the development of safe, lightweight hydrogen storage vessels is critical for the range of the vehicles. Composite storage vessels has the potential to replace traditional metal vessels, enabling high hydrogen storage density per unit mass. However, due to the poor impact resistance and complex damage mechanisms of carbon fibre reinforced polymer (CFRP) composites, safety is still concerned once it is subjected to transverse impact. Therefore, it is imperative to design and optimise the hydrogen storage vessels based on safety requirements. How to replace the expensive and harsh dynamic test method, accurately predict the complex thermomechanical response of the composite storage vessel under the dynamic impact loading is critical for the development and deployment of new hydrogen composite vessels. Therefore, this EU Marie Curie fellowship aims to:(1) For the first time, create systematic and fundamental understanding of the failure strength and mechanisms of composites under much broader multiaxial loading conditions using a patented test rig;(2) Establish high fidelity RVE-based FE modelling of composite with ML identified uncertain material parameters to generate a full spectrum of failure predictions under multiaxial loading conditions;(3) Synergise the experimental data and numerical predictions to train data-driven ML tools for predicting the material failure envelope and informing the development of a modified failure criterion;(4) Implement the modified failure criterion and develop a multiscale virtual design and test tool for hydrogen composite vessels under impact loading as well as evaluate their CAI or TAI performance against experiments;(5) Develop and maintain a dedicated platform for dissemination of the developed virtual tool and promote virtual design and test of hydrogen composite vessels backed up by physical tests

作为燃料电池汽车的关键部件，安全、轻量化的储氢容器的开发对于提高汽车的续航里程至关重要。复合材料储存容器有可能取代传统的金属容器，实现每单位质量的高储氢密度。然而，由于碳纤维增强聚合物（CFRP）复合材料抗冲击性能差，损伤机理复杂，一旦受到横向冲击，其安全性仍然受到关注。因此，必须根据安全要求设计和优化储氢容器。如何取代昂贵而苛刻的动态试验方法，准确预测复合材料储罐在动态冲击载荷作用下的复杂热力响应，对新型储氢复合材料容器的开发和部署至关重要。因此，欧盟玛丽居里奖学金的目标是：（1）第一次使用专利试验台在更广泛的多轴载荷条件下对复合材料的失效强度和机理进行系统和基本的理解;（2）建立高保真的基于RVE的复合材料有限元模型，其中ML识别不确定的材料参数，以产生多轴载荷条件下的全谱失效预测;（3）将实验数据和数值预测相结合，以训练数据驱动的ML工具，用于预测材料失效包线，并为改进的失效准则的开发提供信息;（4）应用改进的失效准则，开发了氢复合材料容器在冲击载荷作用下的多尺度虚拟设计和试验工具，并通过试验对氢复合材料容器的CAI或TAI性能进行了评价;（5）开发和维护专用平台，用于传播已开发的虚拟工具，并促进以物理试验为后盾的氢复合材料容器的虚拟设计和试验