Adaptive anisotropic mesh for automated geometric reconstruction
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Adaptive anisotropic mesh for automated geometric reconstruction
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Objective and context :
A postdoctoral researcher is required to work on adaptive anisotropic mesh refinement algorithms for the CEMEF, Center for Material Forming at MINES ParisTech in Sophia Antipolis, France. The proposed work is part of an advanced program involving several industrial and academic partners. The objective of this project referred as TOCATA (FUI French program) is to design an optical system able to automatically detect material defects in existing structures. Consequently, it is necessary to build a 3D numerical model from the set of geometrical points obtained by the optical devices. The developed model must be able to drive accurately the camera to the regions of interest in order to do a finer analysis. As a result, the provided 3D model will be able to render all the geometrical details by the simplest constructed coarse mesh. The research aspects of the project will involve developing and exploring three important routes. Note that a set of meshing tools developed in the lab and included in a parallel Finite Element library, CIMLIB, are available and can be used by the applicant. This also includes a highly parallel protocol wrapping the anisotropic adaptive MTC mesher.
- The first route describes general mesh decimation methods which operate on triangle meshes. The goal of the mesh decimation is the reduction of triangles in a mesh while preserving the shape and topology as good as possible. All the output and data of the optical device measurement are given under the form of an initial mesh (STL format) containing possibly a huge number of elements which can be used as the first guess of the decimation procedure. The existing version of the mesher can deal easily with such meshes as well as the metric map which preserves the geometrical details is well defined. The main drawback of this approach is that the current mesh technology requires that the initial mesh is a true mesh with connected elements.
- The second route consists on the use of the Level Set method combined to an anisotropic adaptive meshing. At this stage, we assume that the surface is still defined by a possibly huge number of triangles not anymore strictly connected. The idea is to use an immersed surface technique by means of the Level Set framework and then to adapt the background mesh until the aimed domain is a part of it. To perform that we need to combine the PDE level set solver, the interpolation error analysis with metric construction and the adaptive remeshing procedure under the lower number of elements. This will result the geometry reconstruction by mesh adaptation.
- The last point is described by the trajectory calculation from LS definition. Here, the objective is to explore the possibility to use the adapted level set volume description to calculate directly the required trajectories inside the volume of the background mesh. More generally, it will open the door towards the required actual objectives into the adaptive procedure.
The applicant will work closely with researchers and computer scientists in the developing of the needed algorithms as well as with external academic and industrial partners. |
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Key-words
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adaptive anisotropic mesh, finite element, Level Set method
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Duration
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18 months ; starting date : as soon as possible |
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Skills and abilities requested
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A working knowledge of both the theoretical aspect of anisotropic framework and the practical difficulties of meshing is an important asset. C++ programming skills are desirable. Proficiency of French, although not compulsory, will be a selection criterion.
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Gross salary
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about 34 000 € / year
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Location
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MINES ParisTech - CEMEF, Sophia Antipolis (French Riviera), France |
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Team
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CIM : Advanced Computing (CEMEF) |
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Contact
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Pr. Thierry Coupez e-mail : |