A Sparse Fault Parametrization for Large-scale Ruptures Based on Moment Tensor Interpolation
Description:
Modeling and characterizing earthquake sources can be challenging when they fall outside the point-source approximation. Typical finite fault models assume that the rupture surface can be represented as a discretized planar fault or a combination of planes, segmented into discrete patches. This assumption requires committing to a specific fault plane geometry and discretization before performing inversion. To address this limitation, we propose a sparse yet robust fault representation that leverages the geometrical properties of the moment tensor, based on tensor interpolants and procedural surfaces. This approach enables the representation of slip surfaces with a few key point sources rather than an entire discrete surface and dynamically adjusts the discretization density for numerical modeling. We show that spherical linear interpolation is a natural interpolant function for moment tensors and showcase a preliminary application: the interpolant function is used to redistribute point sources from a pre-existing sparse rupture model to obtain a denser fault discretization, which we then use as a smooth source for waveform modeling, demonstrating interest for both the forward and inverse problem.
Session: 3D Wavefield Simulations: From Seismic Imaging to Ground Motion Modelling [Poster Session]
Type: Poster
Date: 5/2/2024
Presentation Time: 08:00 AM (local time)
Presenting Author: Julien
Student Presenter: No
Invited Presentation:
Authors
Julien Thurin
Presenting Author
Corresponding Author
jthurin@alaska.edu
University of Alaska Fairbanks
A Sparse Fault Parametrization for Large-scale Ruptures Based on Moment Tensor Interpolation
Session
3D Wavefield Simulations: From Seismic Imaging to Ground Motion Modelling