Objective
Structural testing of major aircraft components is a very expensive and time-consuming process that adds significantly to the overall cost of designing and certifying a new aircraft product. If testing can be reduced based on validated and safe numerical analysis methods then this will provide the European Aircraft industry with a significant business and technological advantage. A structural certification based on a Virtual Testing process appears as a promising way to achieve in a medium term (5 to 7 years) the following global goals: -30% to 40 % reduction of component tests and consequently certification costs -20 % to 30% reduction of structural certification duration Main innovation in MUSCA is to address built-up structures with a high degree of complexity where the modelling is fine enough to capture local effects or non-linear behaviour that is necessary to predict both failure initiation and collapse. The scientific tools to reach these objectives require novel advances in computational mechanics and statistics that will be addressed in MUSCA in parallel with large scale computing. Based on the state of the art, the consortium identified three key research areas to address: - Techniques for large scale Non Linear analysis: domain decomposition techniques coupled with advanced parallel processing Non Linear solvers, error estimator for quality assessment - Multi-criteria failure analysis: critical review , selection and validation of the most efficient engineering procedures for multi-mode failure analysis of structural details - Sensitivity and reliability techniques: assessment of inputs uncertainties (material properties, geometry and loads scattering) on the structural performances using stochastic simulations, sensitivity surface response methodsBased on existing experiental data comparison, MUSCA output will be the ability of the new developed analysis techniques to predict accurately static failure of large aircraft component.
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- natural sciencesmathematicspure mathematicsgeometry
- natural sciencesmathematicsapplied mathematicsnumerical analysis
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Call for proposal
FP6-2003-AERO-1
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Funding Scheme
NoE - Network of ExcellenceCoordinator
PARIS
France
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Participants (16)
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TOULOUSE
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BRISTOL
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