J. Bruchon

Computational Mechanics · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 13 citations into it
• Computational Theory and Mathematics — 8 citations into it

Whom J. Bruchon trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Marc Bernacki
2. Marco Discacciati
3. Stanley J. Osher
4. David J. Benson

Papers from J. Bruchon's perspective

Ordered by how strongly the researchers J. Bruchon trusts endorse each paper. Same corpus, a different order for every researcher.

1. Coupling Fluid Flow with Porous Media Flow (SIAM Journal on Numerical Analysis)
2. A stabilized mixed finite element method for Darcy flow based on a multiscale decomposition of the solution
3. Level Set Methods and Fast Marching Methods
4. Analysis of a domain decomposition method for the coupling of Stokes and Darcy equations
5. Level set methods: an overview and some recent results
6. Local differentiability of distance functions
7. Level set framework for the numerical modelling of primary recrystallization in polycrystalline materials
8. An Eulerian–Lagrangian method for fluid–structure interaction based on level sets
9. Contact in a multi-material Eulerian finite element formulation
10. Vacuum injection moulding for large structural applications

Their papers

• Combining a level‐set method and a mixed stabilized P1/P1 formulation for coupling Stokes–Darcy flows (2012) — 55 citations
• Using a signed distance function for the simulation of metal forming processes: Formulation of the contact condition and mesh adaptation. From a Lagrangian approach to an Eulerian approach (2009) — 75 citations