Project description
Adaptive models for effective damage prediction and control on composites structures
Digital twins are complex virtual models based on physics-based models and/or artificial intelligence, and work as a digital replica of an object in the physical world. Despite the fact that they offer great potential for predicting structural damage, fast and high-fidelity digital twin models are lacking. The EU-funded DREAM-ON project aims to create new adaptive models for real-time data assimilation, predictive damage computation and robust decision-making. The advanced numerical tools will help in achieving damage tolerance and integrated maintenance on large-scale engineering structures equipped with distributed sensors, driving a significant technological breakthrough.
Objective
Diagnosing structural damage and predicting its evolution has been a perpetual engineering issue. It is nowadays the topic of intensive research works addressing online damage detection and control, and benefiting from experimental and numerical advances made during the last decad. On the one hand, embedded sensor technologies nowadays provide high-resolution in situ information on the internal damage state of materials. On the other hand, the booming development of virtual twins and artificial intelligence leads to envision connected engineering structures with computer-based monitoring. Nevertheless, using large noisy data sets and high-fidelity damage models is hardly compatible with the real-time, robustness, and portability constraints of such a revolution. This is today a major limitation for its application to real systems. The objective of the project is thus to address key numerical challenges in order to truly permit a manageable and seamless dialog between damage data and simulations for large scale structures. The idea is to create a real-time feedback loop including the physical system in service and an adaptive numerical model of this system, such that: (i) the model is dynamically updated and enriched from observations (hybrid twin); (ii) damage diagnosis is continuously made from this model in order to drive the physical system appropriately. The project, focusing on composite structures, will consist in the design of innovative and effective numerical approaches for real-time data assimilation, predictive damage computation, and command law synthesis on evolutive systems, all supported by reduced order modeling. The advanced numerical tools will be implemented into a dedicated computing infrastucture, and practically assessed through a proof-of-concept using specific experimental facilities. Outcomes are expected to represent a major scientific and technological breakthrough for damage tolerance on real-life engineering structures.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-COG - Consolidator Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2020-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
91190 GIF-SUR-YVETTE
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.