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

先进复合材料制造在全球可持续发展中变得至关重要，以实现气候中立的未来，作为航空航天和风能等领域轻质结构的推动者。它们的相关性增加了复合材料结构的损伤容限和耐久性的重要性，目前处理耗时和不准确的技术。因此，D-STANDART的目标是开发快速有效的方法来模拟具有任意铺层的大型复合材料结构在现实条件下（载荷，环境）的耐久性。将开发新的测试方法，使用通用样本来正确量化材料参数，这些参数决定了复合材料在循环载荷下的耐久性。材料特性将用于高保真模型中，以模拟各种铺层和各种尺度下的缺陷生长，作为循环载荷和速率的函数。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，使用项目的测试数据和历史测试数据进行训练，以轻松适应不同的设计参数和复杂的铺层，从而加速先进组件的开发，采用和商业化。选择了两个用例来验证航空航天和可再生能源领域的建模耐久性性能。此外，将通过专门的生命周期评估、生命周期成本计算和成本效益分析来评估循环性和可持续性。这项为期36个月、价值560万欧元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个中小企业）。该联盟将得到咨询委员会的支持，该委员会由6个最终用户组成，他们拥抱价值链，以验证要求，指导相关的认证方法，并最终支持成果的吸收，与EMCC保持紧密一致。

Advanced composite manufacturing is becoming crucial in the global sustainable drive for a climate-neutral future as enabler of lightweight 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 highfidelity 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 EMCC.