2018/02/24 by Walter Landry, Landry, Walter, Sylvain Barbot +1
Computer Science · Earth and Planetary Sciences · #Earthquake Detection and Analysis #FOS: Physical sciences #Geophysics (physics.geo-ph) #High-pressure geophysics and materials #Seismology and Earthquake Studies #earthquake and tectonic studies
paper · pdf · doi:10.48550/arxiv.1802.08931
openalex publication_date 2018/02/24 · openalex created_date 2022/09/05 · openalex updated_date 2026/07/28
Imaging the anelastic deformation within the crust and lithosphere using\nsurface geophysical data remains a significant challenge in part due to the\nwide range of physical processes operating at different depths and to various\nlevels of localization that they embody. Models of Earth's elastic properties\nfrom seismological imaging combined with geodetic modeling may form the basis\nof comprehensive rheological models of Earth's interior. However, representing\nthe structural complexity of faults and shear zones in numerical models of\ndeformation still constitutes a major difficulty. Here, we present numerical\ntechniques for high-precision models of deformation and stress around both\ncurvilinear faults and volumes undergoing anelastic (irreversible) strain in a\nheterogenous elastic half-space. To that end, we enhance the software Gamra to\nmodel triangular and rectangular fault patches and tetrahedral and cuboidal\nstrain volumes. This affords a means of rapid and accurate calculations of\nelasto-static Green's functions for localized (e.g., faulting) and distributed\n(e.g., viscoelastic) deformation in Earth's crust and lithosphere. We\ndemonstrate the correctness of the method with analytic tests, and we\nillustrate its practical performance by solving for coseismic and postseismic\ndeformation following the 2015 Mw 7.8 Gorkha, Nepal earthquake to extremely\nhigh precision.\n