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A demisability model to predict the behaviour of spacecraft components during the atmospheric re-entry and a survivability model to assess the vulnerability of spacecraft structures against space debris impacts.
The aim of his work is to develop a numerical model to predict the behaviour of cracked panels, in place of expensive and complex experiments to generate data for designers.
This paper concerns the development of a model to predict the behaviour of coated surfaces, based on previous characterisation of the coating and of the substrate in non-perforating tests.
The proposed laws together with the law describing the development of the confinement constitute the necessary input for a model to predict the behaviour of an innovative connection consisting of such confined grouted interfaces.
This paper describes the development and application of an explicit finite element (FE) model, incorporating a bi-phase material degradation model, to predict the behaviour of loaded carbon/epoxy panels when impacted over a range of low energy levels.
Furthermore, despite the fact that the proposed methodology is validated at a preliminary level, focusing on the recovery of a single component from an aqueous solution, it could be served as the first step for the development of a more realistic model to predict the behaviour of a multi-component system.
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This work highlights the promise of combining deliberate data generation with data-driven modelling to predict the behaviour of complex dynamical systems.
More broadly, the study reveals the potential of combining deliberately generated data with data-driven modelling to predict the behaviour of complex dynamical systems.
Closed-form mechanical models to predict the behaviour of complex structural systems often are unavailable.
This paper focuses on a 3D model developed to predict the behaviour of CFRP concrete composites under fire.
These data are not sufficient to build thermodynamic models able to predict the behaviour of the considered systems.
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