DURABILITY MODELLING OF COMPOSITE STRUCTURES WITH ARBITRARY LAY-UP USING STANDARDIZED TESTING AND ARTIFICIAL INTELLIGENCE (D-STANDART)

使用标准化测试和人工智能（D-STANDART）对任意铺设的复合结构进行耐久性建模

• 批准号: 10048912
• 金额: $ 28.78万
• 依托单位: ICOMAT
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 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=10048912
• 关键词: DURABILITY; MODELLING; COMPOSITE; STRUCTURES; ARBITRARY

Advanced composite manufacturing is becoming crucial in the global sustainable drive for a climate-neutral future as enabler of light weight structures in, for example, the aerospace and wind energy sector. Their increased relevance has raised the importance of damage tolerance and durability of composite structures, currently dealt with time-consuming and inaccurate techniques. Hence the objective of D-STANDART is to develop fast and efficient methods to model the durability of large-scale composite structures with arbitrary lay-ups under realistic conditions (loads, environment). New test methodologies will be developed using generic specimens to correctly quantify material parameters that determine the durability of composites under cyclical loading. Material characterisation will be used in high fidelity models to simulate defect growth in various lay-ups and at various scales as a function of cyclical loading and rate. To apply these models in an industrial design environment, D-STANDART will make use of Artificial Intelligence (AI) surrogate models, trained using test data from the project and historical test data to easily adapt to different design parameters and complex lay-ups, thereby accelerating the development, uptake, and commercialisation of advanced components. Two use cases have been selected to validate the modelled durability performance both in the aerospace and renewable energy sectors. Furthermore, circularity and sustainability will be assessed via dedicated life-cycle assessment, life cycle costing and cost-benefit analysis. This 36-month €5.6M valued action involves, 9 partners (3 universities, 2 RTOs, 2 industry, and 2 SMEs) from four countries (United Kingdom, The Netherlands, Germany, and France). The consortium will be supported by an Advisory Board formed of 6 End users embracing the value chain to validate requirements, guide on relevant approach to certification, and finally support results uptake, in tight alignment with EMCCno project summary.

先进的复合制造在全球可持续发展的驱动器中变得至关重要，对于气候中性的未来，作为航空航天和风能领域的轻重量结构的推动者。它们的相关性提高了损害耐受性和复合结构耐用性的重要性，目前涉及时必时间和不准确的技术。因此，D-Standart的目的是开发快速有效的方法，以在现实条件下（负载，环境）在任意上层的大规模复合结构的耐用性进行建模。将使用通用标本来开发新的测试方法，以正确量化确定周期性负载下复合材料耐用性的材料参数。材料表征将在高保真模型中使用，以模拟各种上层和各种尺度的缺陷生长，这是周期性负载和速率的函数。为了在工业设计环境中应用这些模型，D-Standart将利用人工智能（AI）替代模型，该模型使用项目和历史测试数据的测试数据进行培训，以轻松适应不同的设计参数和复杂的上层铺层，从而促进了高级组件的开发，吸收和商业化。已经选择了两种用例来验证航空航天和可再生能源领域的建模耐用性能。此外，将通过专门的生命周期评估，生命周期成本和成本效益分析来评估循环和可持续性。这项36个月的56万欧元有价值的行动涉及来自四个国家（英国，荷兰，德国和法国）的9个合作伙伴（3所大学，2个RTO，2个行业和2个中小型企业）。该财团将由由6位最终用户组成的顾问委员会支持，该咨询委员会涵盖了价值链以验证要求，有关认证相关方法的指南，并最终支持结果吸收，并与EMCCNO项目摘要保持一致。