Mechanisms and Seismological Signatures of Rupture Complexity Induced by Fault Damage Zones in Fully‐Dynamic Earthquake Cycle Models
Abstract
AbstractDamage zones are common around faults, but their effects on earthquake mechanics are still incompletely understood. Here, we investigate how damage affects rupture patterns, source time functions (STF) and ground motions in 2D fully‐dynamic cycle models. We find that back‐propagating rupture fronts emerge in large faults and can be triggered by residual stresses left by previous ruptures or by damage‐induced pulse‐to‐crack transitions. Damage‐induced back‐propagating fronts are modulated by slip rate oscillations, amplify high‐frequency radiation, and sharpen the multiple peaks in STF even in the absence of frictional heterogeneity or fault segmentation. Near‐field ground motion is predominantly controlled by stress heterogeneity left by prior seismicity, and further amplified within the damage zone by trapped waves and outside it by secondary rupture fronts. This study refines our knowledge on damage zone effects on earthquake rupture and identifies their potentially observable signatures in the near and far field.
Copyright and License
© 2024. The Author(s). This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in anymedium, provided the original work is properly cited.
Acknowledgement
This work has been supported by the French National Research Agency (ANR) through project FAULTS_R_GEMS (Grant ANR-17-CE31-0008) and Investments-in-the-Future project UCAJEDI (Grant ANR-15-IDEX-01), and the UCAJEDI Académies 2 and 3 through the project PERFAULT-3M “Physics of earthquake rupture and fault growth: multi-scale modeling of material failure”. It was also supported by the National Natural Science Foundation of China (NSFC) through the early career research grant (Grant 42204059) and the Fundamental Research Funds for Central Universities disseminated by IDMR at Sichuan University. We thank Prithvi Thakur for providing an initial version of the sparse-matrix optimization, Caroline Ramel for her support in the use of the cluster in Geoazur, and Hojjat Kaveh for his assistance on using QDYN with Python. We also thank Isabelle Manighetti, and acknowledge the Resnick High Performance Computing Center of Caltech when finalizing the simulations. We are also grateful to the Associate Editor, Ahmed Elbanna, and an anonymous reviewer for their constructive revision that improved the quality of this manuscript.
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Additional details
- ISSN
- 1944-8007
- Agence Nationale de la Recherche
- ANR‐17‐CE31‐0008
- Agence Nationale de la Recherche
- ANR‐15‐IDEX‐01
- National Natural Science Foundation of China
- 42204059
- Sichuan University
- Caltech groups
- Division of Geological and Planetary Sciences, Seismological Laboratory