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Explicit dynamics isogeometric analysis : lr b-splines implementation in the radioss solver

Abstract : IsoGeometric Analysis has shown to be a very promising tool for an integrated design and analysis process. A challenging task is still to move IGA from a proof of concept to a convenient design tool for industry and this work contributes to this endeavor. This work deals with the implementation of the IGA into Altair Radioss explicit finite element solver in order to address crash and stamping simulation applications. To this end, the necessary ingredients to a smooth integration of IGA in a traditional finite element code have been identified and adapted to the existing code architecture. A solid B-Spline element has been developed in Altair Radioss. The estimations of heuristic element and nodal stable time increment are explored to improve the accuracy of simulations and guarantee their stability. An existing contact interface has been extended in order to work seamlessly with both NURBS and Lagrange finite elements. As local refinement is needed for solution approximation, an analysis is made in terms of analysis suitability and implementation aspects for several Spline basis functions as Hierarchical B-Splines (HB-Splines), Truncated Hierarchical B-Splines (THB-Splines), T-Splines and Locally Refined B-Splines (LR B-Splines). The LR B-Spline basis is implemented. An improved refinement scheme is introduced and defines a set of analysis-suitable refinements to be used in Radioss. The refinement process of a regular coarse mesh is developed inside the solver. It allows the user to define a local refinement giving a set of instructions in the input file. The global solution is validated on industrial benchmarks, for validation cases conventionally used for industrial codes like stamping and drop test.
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  • HAL Id : tel-02090803, version 1

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Matthieu Occelli. Explicit dynamics isogeometric analysis : lr b-splines implementation in the radioss solver. Mechanics [physics.med-ph]. Université de Lyon, 2018. English. ⟨NNT : 2018LYSEI102⟩. ⟨tel-02090803⟩

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