In this paper we present a new tool which can be used to simplify and speed up the reconstruction of real Earth surfaces, cake-layered domains and planar fault sources for numerical simulations. The tool makes use of the CUBIT-Python interface in order to directly ’communicate’ and to allow for maximum portability across different operating systems. We will focus the use of the tool to earthquake simulations, although many other types of simulation are able to make use of the same output. Indeed the features created using this software can be applied to numerous other model scenarios, including but not limited to: water flow models, avalanche models, subsurface cavity effects on travelling waves, and earthquake simulations
A method for rapid generation of complex 3D geological models is presented. The method utilizes scal...
International audienceWe present SeisTomoPy, a new Python tool that facilitates the use of a suite o...
. We report on our experiences in building a computational environment for tomographic image analysi...
Unstructured hexahedral mesh generation is a critical part of the modeling process in the Spectral-E...
The study of faults is a key aspect of earth science research. 3D models of fault systems have often...
Little research has been conducted on the effectiveness of real time mapping on three dimensional su...
Many geophysical flow or wave propagation problems can be modeled with two-dimensional depth-average...
-scale vary from a planetary scale and million years for convection problems to 100km and 10 years f...
Abstract—The deformation of the Earth surface reflects the action of several forces that act inside ...
A parallelized Sequential Gaussian Simulation (SGS) script in Python designed for simulating subglac...
Figure 1: Illustrative geological models showing non-planar faults and compaction of layers: (a1)-(a...
2A web application has been developed, which offers a simplified approach to the computation of synt...
We report on our experiences in building a computational environment for tomographic image analysis ...
This paper presents a numerical scheme based on a fictitious domain framework for the numerical mode...
The developments of models in Earth Sciences, e.g. for earthquake prediction and for the simulation ...
A method for rapid generation of complex 3D geological models is presented. The method utilizes scal...
International audienceWe present SeisTomoPy, a new Python tool that facilitates the use of a suite o...
. We report on our experiences in building a computational environment for tomographic image analysi...
Unstructured hexahedral mesh generation is a critical part of the modeling process in the Spectral-E...
The study of faults is a key aspect of earth science research. 3D models of fault systems have often...
Little research has been conducted on the effectiveness of real time mapping on three dimensional su...
Many geophysical flow or wave propagation problems can be modeled with two-dimensional depth-average...
-scale vary from a planetary scale and million years for convection problems to 100km and 10 years f...
Abstract—The deformation of the Earth surface reflects the action of several forces that act inside ...
A parallelized Sequential Gaussian Simulation (SGS) script in Python designed for simulating subglac...
Figure 1: Illustrative geological models showing non-planar faults and compaction of layers: (a1)-(a...
2A web application has been developed, which offers a simplified approach to the computation of synt...
We report on our experiences in building a computational environment for tomographic image analysis ...
This paper presents a numerical scheme based on a fictitious domain framework for the numerical mode...
The developments of models in Earth Sciences, e.g. for earthquake prediction and for the simulation ...
A method for rapid generation of complex 3D geological models is presented. The method utilizes scal...
International audienceWe present SeisTomoPy, a new Python tool that facilitates the use of a suite o...
. We report on our experiences in building a computational environment for tomographic image analysi...