Abstract

Restoration of geological structures helps understand and validate the reconstruction of subsurface structures. In many restoration algorithms, the surface is triangulated and then unfolded, starting from an undeformed location (pin-element). The aim of this paper is to assess the impact of the pin-element location and triangulation of the mesh (density and type) on restoration by best fitting of finite elements, with and without a rotation constraint. The deformation of complex structures is simulated at laboratory scale. First, a reference mesh is set on the undeformed models. Then, a deformation is applied to obtain the new mesh coordinates using photogrammetry. Finally, the mesh is restored and the deformation calculated on the restored model. Comparing the actual and computed deformation, it is found that dense meshes can help locate expected deformation areas, if a rotation constraint is used to reduce error propagation. Mesh type and density seem to play a secondary role in the final result for smooth surfaces, but become relevant for highly deformed surfaces. Pin-element location influences the restoration result, especially when no rotation constraint is considered. Overall, the results suggest that the accuracy and reliability of restoration methods based on triangular meshes can be significantly improved by using a rotation constraint.

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