By Huilin Xing

ISBN-10: 3540858776

ISBN-13: 9783540858775

This e-book offers a concise evaluation of the hot improvement in geocomputing, which covers the version building and end result visualisation, complicated computational conception and excessive functionality software program improvement on supercomputers and their functions in simulating geodynamics, crustal dynamics, earthquakes, tsunami and rock physics spanning varied scales.

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Finally, if a solid model is provided as the geometric domain, a set of meshed surfaces defining a closed volume is provided 3D Mesh Generation in Geocomputing 31 as input of a volume mesher for automatic generation of tetrahedra, hexahedra or mixed element types (see Owen’s survey as indicated above). However, difficulties have been encountered by using the existing commercial graphics packages (including the industrial strength in-house software) to construct a computational model of a certain geoscience case, such as an interacting fault system.

1995; Ray et al. 1998); Transitions between the tetrahedral and the hexahedral meshes were done with Pyramids (Owen et al. 1997) and multi-point constraints; The Geode-Template (Leland et al. 1998) provided a method of generating an all-hexahedral mesh by refining both the tetrahedral and the hexahedral meshes. However, this requires an additional refinement of the entire mesh, which resulting in node/element numbers much larger than required. In addition, the GeodeTemplate was unable to provide reasonable mesh quality (Staten et al.

3D Mesh Generation in Geocomputing 1 1,2 Huilin Xing, Wenhui Yu and Ji Zhang 1 1 The University of Queensland, Earth Systems Science Computational Centre, St. Lucia, Brisbane, QLD 4072, Australia 2 Department of Engineering Mechanics, Dalian University of Technology, Dalian, China Abstract Mesh generation has been widely used in engineering computing, but seems to be relatively “new” for geoscience community. e. geocomputing). For geoscience, the available input data are normally a large quantity of point data in the 3D space rather than the defined shapes and dimensions with reasonable tolerances provided by the industrial designers, thus quite different from the engineering cases.

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Advances in Geocomputing by Huilin Xing


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