My research focuses on earthquake source physics and fault strength evolution in relation to a range of lithospheric deformation modes, including seismic and aseismic slip events, using numerical models, theoretical analysis and observations from natural earthquakes.
I am involved in developing high-performance computing toolkits for advanced simulation of Sequences of Earthquakes and Aseismic Slip (SEAS). I use triangular-mesh-based Boundary Intergral Method (TriBIE) to simulate stress and slip evolution under long-term geological loading on infinitesimal fault interface, the strength of which is controlled by laboratory-derived rate-and-state friction (RSF).
I obtained my Bachelor's degree from Peking University in 2011 and my Master's degree in 2023. From 2013 to 2018, I moved to Canada to pursue a Ph.D. in Geoscience under the supervision of Prof. Yajing Liu. After completing my Ph.D., I worked as a Postdoctoral researcher at LMU. Since October 2023, I have been working as a Seismologist at GNS Science in New Zealand.
Slow slip refers to the quasi-static fault deformation commonly observed in subduction zones and continental faults.This phenomenon occurs over a long period of time, in contrast to sudden and catastrophic earthquakes. It allows for the emission of low-frequency seismic radiation and may significantly impact regional seismicity. Understanding slow slip events is crucial for assessing earthquake hazards and improving our ability to forecast seismic activity.
A subduction zone marks the region where oceanic and continental plates come together at a convergent plate boundary. The interactions between plates in a subduction zone generate significant pressure and stress, which eventually result in the release of energy through seismic activity. Subduction earthquakes can lead to natural disasters such as earthquakes, volcanic eruptions, and tsunamis, among others. Therefore, understanding the dynamics and hazards associated with subduction zones is crucial for assessing and mitigating the risks posed by these natural phenomena.
Building a physics-based and data-assimilated forward model using advanced numerical methods can provide valuable insights into earthquake source physics and seismic hazard. By incorporating sophisticated algorithms and techniques, this model can help us better understand the mechanics behind earthquakes and assess the potential risks they pose. Moreover, it enables us to analyze and interpret seismic data more effectively, enhancing our ability to predict and mitigate future seismic events.
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