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

先进的复合材料制造正成为全球可持续推动气候中立未来的关键，例如，在航空航天和风能领域，先进复合材料制造成为轻质结构的推动者。它们的相关性增加提高了复合材料结构损伤容限和耐久性的重要性，目前处理的技术既耗时又不准确。因此，D-STANDART的目标是发展快速有效的方法来模拟实际条件(荷载、环境)下任意铺设的大型组合结构的耐久性。将开发新的测试方法，使用通用试件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，以作为循环加载和速率的函数来模拟不同铺层和不同尺度上的缺陷生长。为了在工业设计环境中应用这些模型，D-Standart将使用人工智能(AI)代理模型，该模型使用项目中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，从而加快先进零部件的开发、吸收和商业化。已经选择了两个用例来验证航空航天和可再生能源部门的建模耐久性性能。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个月的价值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)。该财团将得到一个由6名终端用户组成的咨询委员会的支持，该委员会拥抱价值链，以验证要求，指导相关的认证方法，并最终支持结果吸收，与EMCCno项目摘要紧密一致。

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.