Articles | Volume 15, issue 10
https://doi.org/10.5194/se-15-1241-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-15-1241-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Method article
| 
07 Oct 2024
Method article |
| 07 Oct 2024
| 07 Oct 2024
ECOMAN: an open-source package for geodynamic and seismological modelling of mechanical anisotropy
Manuele Faccenda
CORRESPONDING AUTHOR
Dipartimento di Geoscienze, Università di Padova, 35131 Padua, Italy
Brandon P. VanderBeek
CORRESPONDING AUTHOR
Dipartimento di Geoscienze, Università di Padova, 35131 Padua, Italy
Albert de Montserrat
Institute of Geophysics, ETH Zürich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Jianfeng Yang
State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
Francesco Rappisi
School of Earth and Environment, University of Leeds, Leeds, UK
Neil Ribe
Lab FAST, Univ Paris-Saclay, CNRS, Bat 530, rue André Rivière, 91405 Orsay, France
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EGUsphere, https://doi.org/10.5194/egusphere-2025-2417, https://doi.org/10.5194/egusphere-2025-2417, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
Concentration of deformation is difficult to capture accurately in computer simulations. We present a number of challenges associated with concentrated viscous deformation and demonstrate strategies to overcome them. These strategies include automatic selection of appropriate time steps to react to rapid changes in model behavior, automatic rescaling to avoid rounding errors, and two methods to prevent model instability. This way, we are able to accurately capture very fast viscous deformation.
Nicolas Riel, Boris J. P. Kaus, Albert de Montserrat, Evangelos Moulas, Eleanor C. R. Green, and Hugo Dominguez
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-197, https://doi.org/10.5194/gmd-2024-197, 2024
Revised manuscript under review for GMD
Short summary
Short summary
Our research focuses on improving the way we predict mineral assemblage. Current methods, while accurate, are slowed by complex calculations. We developed a new approach that simplifies these calculations and speeds them up significantly using a technique called the BFGS algorithm. This breakthrough reduces computation time by more than five times, potentially unlocking new horizons in modeling reactive magmatic systems.
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Short summary
The Earth's internal dynamics and structure can be well understood by combining seismological and geodynamic modelling with mineral physics, an approach that has been poorly adopted in the past. To this end we have developed ECOMAN, an open-source software package that is intended to overcome the computationally intensive nature of this multidisciplinary methodology and the lack of a dedicated and comprehensive computational framework.
The Earth's internal dynamics and structure can be well understood by combining seismological...
