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

作为航空航天和风能等领域轻量化结构的推动者，先进复合材料制造在全球可持续发展中发挥着至关重要的作用，以实现气候中和的未来。它们日益增加的相关性提高了复合材料结构的损伤容忍度和耐久性的重要性，目前处理的是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设的大型复合结构在现实条件下（荷载，环境）的耐久性。将开发新的测试方法，使用通用试样来正确量化材料参数，确定复合材料在周期性载荷下的耐久性。材料特性将在高保真模型中使用，以模拟各种分层和各种尺度下的缺陷生长，作为循环加载和速率的函数。为了将这些模型应用于工业设计环境，D-STANDART将利用人工智能（AI）替代模型，使用项目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布局，从而加速先进组件的开发、吸收和商业化。选择了两个用例来验证航空航天和可再生能源领域的模型耐久性性能。此外，循环性和可持续性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进行评估。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家rto、2家行业和2家中小企业）。该联盟将得到咨询委员会的支持，该咨询委员会由6个最终用户组成，包括价值链，以验证需求，指导相关的认证方法，并最终支持结果的吸收，与EMCC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.