Summary
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 EMCC.
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 EMCC.
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| Web resources: | https://cordis.europa.eu/project/id/101091409 |
| Start date: | 01-01-2023 |
| End date: | 31-12-2025 |
| Total budget - Public funding: | 3 794 991,50 Euro - 3 330 616,00 Euro |
Cordis data
Original description
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 EMCC.
Status
SIGNEDCall topic
HORIZON-CL4-2022-RESILIENCE-01-19Update Date
09-02-2023
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Organisations
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| Stichting Nationaal Lucht- En Ruimtevaartlaboratorium (NLR - Royal Netherlands Aerospace Centre) (Coördinator)
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| ICOMAT LIMITED
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| L - UP SAS
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| MSC SOFTWARE GMBH (MSC)
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| NCC OPERATIONS LIMITED
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| SE BLADES TECHNOLOGY BV
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| TECHNISCHE UNIVERSITEIT DELFT
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| UNIVERSITEIT TWENTE
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| UNIVERSITY OF BRISTOL (UOB)