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Multphysics SIMulations of COrrosion-FATigue

Project description

Advanced tools for corrosion fatigue prediction

Corrosion and fatigue are the main factors responsible for damages and catastrophic failures in nearly all engineering structures. As such, understanding and predicting corrosion and fatigue are fundamental for the mechanics of materials. The EU-funded SIMCOFAT project will develop new ultra-efficient computational tools to resolve the microstructural character of the problem. The project will combine advanced multiphysics and damage models with a new class of algorithms, the fast Fourier transforms. SIMCOFAT will compare the predictions from these physically based models with the results of a complementary experimental campaign and use them to predict corrosion fatigue in an industrial context.

Objective

Nearly all engineering structures are exposed to harmful environments and alternating mechanical loads during their service life. The combination of these two factors, corrosion and fatigue, accelerates damage and frequently leads to catastrophic failures much before the expected lifespan of the component. Understanding and predicting corrosion fatigue is considered the ultimate challenge in mechanics of materials, due to its complex multi-disciplinary and multi-scale nature. This proposal aims at achieving a breakthrough by developing new ultra-efficient computational tools that will enable resolving the microstructural character of the problem. Advanced multi-physics and damage (phase field) models will be combined with a new class of algorithms, so-called Fast Fourier Transforms (FFT), that can reduce the computational cost of resolving the microstructural behaviour of materials by several orders of magnitude. The predictions from this new generation of physically-based models will be compared with the outcome of a complementary experimental campaign and ultimately used to predict corrosion fatigue in an industrial context. The feasibility of this Action is strengthened by the applicant's pioneering work in fatigue FFT modelling and the complementary expertise of the host group in environmentally assisted damage, phase field modelling and experimental characterisation.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

(opens in new window) H2020-MSCA-IF-2020

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Coordinator

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Net EU contribution
€ 212 933,76
Address
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ London
United Kingdom
Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
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Total cost
€ 212 933,76