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

基本信息

批准号：
10048912
负责人：
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

项目摘要

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驱动器中至关重要，对于气候中性的未来，作为光线的推动者，例如航空航天和风能领域的相关性，使E损伤的重要性和耐久性的重要性，目前，具有耗时和不准确的技术。周期性的负载。在航空航天和可再生能源领域的耐用性和商业化。，来自四个国家（英国，荷兰，德国和法国）的2个RTO和2个中小型企业。支持结果的吸收，与EMCCNO项目摘要紧密结合。