This repository contains deterministic adjoint-based inversions of coseismic surface geodetic data for heterogeneous material elastic properties, including Poisson's ratio and shear modulus, as well as a joint inversion for both fault slip distribution and subduction zone structure (Puel et al., 2024). We utilized a second-order stress-accurate, stress-displacement-rotation mixed finite-element elastic formulation, which incorporates a new fault discontinuity implementation consistent with an infinite-dimensional formulation (Puel et al., 2022).
We used the open-source libraries, FEniCS version 2019.1.0 (Logg & Wells, 2010; Logg et al., 2012) and hIPPYlib version 3.0.0 (Villa et al., 2016, 2018, 2021) for the forward and adjoint-based inverse modeling, respectively.
In this repository, there are three folders and one file. The file contains instructions on how to install the open-source libraries. Meanwhile, the three folders contain files to reproduce the results in the paper by Puel et al. (2024):
- PoissonRatio_inversion: contains the codes to solve the deterministic adjoint-based inversion of surface geodetic data for the Poisson's ratio heterogeneous structure.
- Joint_ShearModulus_FaultSlip_inversion: contains the codes to solve the joint deterministic adjoint-based inversion of surface geodetic data for the shear modulus heterogeneous structure and fault slip distribution.
- mesh: contains the finite-element meshes used in the paper.
For the installation of the two open-source libraries, FEniCS and hIPPYlib, and all their dependencies, please refer to the provided file FEniCS_hIPPYlib_installation.md.
For models with complex geometries, the open-source mesh generation software, Gmsh (Geuzaine & Remacle, 2009), was used to create the finite-element meshes. Matplotlib was used to plot the results in 2D.
We offer these codes freely, with the aim that they contribute to your research and educational endeavors. As part of standard scientific protocol, we kindly ask for acknowledgment of the authors' efforts by citing relevant peer-reviewed papers (listed below) in your presentations and publications. We are open to collaborative opportunities and encourage you to contact me at [email protected] with any inquiries regarding the software or its potential applications.
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Simone Puel, Thorsten W. Becker, Umberto Villa, Omar Ghattas, Dunyu Liu (2024).An adjoint-based optimization method for jointly inverting heterogeneous material properties and fault slip from earthquake surface deformation data, Geophysical Journal International, 236(2), pp. 778-797, DOI: https://doi.org/10.1093/gji/ggad442.
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Simone Puel, Eldar Khattatov, Umberto Villa, Dunyu Liu, Omar Ghattas, Thorsten W. Becker (2022). A mixed, unified forward/inverse framework for earthquake problems: fault implementation and coseismic slip estimate, Geophysical Journal International, 230(2), pp. 733-758, DOI: https://doi.org/10.1093/gji/ggac050.