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    Modelling precursory laboratory seismicity using a roughness-based rate- and state-dependent friction model

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    essoar.10502600.1.pdf
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    74.31Mb
    Format:
    PDF
    Description:
    Accepted manuscript
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    Type
    Preprint
    Authors
    Selvadurai, Paul Antony cc
    Galvez, Percy cc
    Mai, Paul Martin cc
    Glaser, Steven cc
    Peter, Daniel cc
    Wiemer, Stefan cc
    KAUST Department
    Computational Earthquake Seismology (CES) Research Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2020-03-27
    Permanent link to this record
    http://hdl.handle.net/10754/662416
    
    Metadata
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    Abstract
    We investigate experimental results from a direct shear friction apparatus, where a fault was formed by pressing mature, worn surfaces of two polymethyl methacrylate (PMMA) samples on top of each other in a dry environment. The fault was sheared until macroscopic stick-slip frictional failure occurred. Before the macro-failure small precursory seismicity nucleated from regions that also experienced aseismic slow slip. These precursory events did not cascade-up into gross fault rupture and arrested locally. Reasons as to why ruptures arrested are investigated using a 1-D rate and state friction (RSF) model. Surface profilometry of the fault surface taken \textit{a posteriori} revealed wear in the form of a bimodal Gaussian distribution of surface height. In our model, this unique distribution of surface roughness is determined to be a proxy for the heterogeneous spatial description of the critical slip distance $D_{c}$. We assume that smooth (polished) sections of fault exhibited lower $D_{c}$ than rougher sections of the bimodal Gaussian roughness profile. We used a quasi-dynamic RSF model that determined localized seismicity initiated at the smooth sections. Source properties: average slip $\delta$, seismic moment $M_{0}$, stress drop $\Delta \tau$ and fracture energy $G^{'}$, were determined for each event. We compare the numerically modeled source properties to experimental source characteristics inferred from seismological estimates using an array of acoustic emission sensors from a concerted study. We discuss similarities, discrepancies and assumptions between these two independent models (kinematic and dynamic) used to study earthquakes for the first time in the laboratory.
    Citation
    Selvadurai, P. A., Galvez, P., Mai, P. M., Glaser, S., Peter, D. B., & Wiemer, S. (2020). Modelling precursory laboratory seismicity using a roughness-based rate- and state-dependent friction model. doi:10.1002/essoar.10502600.1
    Publisher
    Wiley
    DOI
    10.1002/essoar.10502600.1
    10.1002/essoar.10504355.1
    10.1002/essoar.10505581.1
    Additional Links
    http://www.essoar.org/doi/10.1002/essoar.10502600.1
    ae974a485f413a2113503eed53cd6c53
    10.1002/essoar.10502600.1
    Scopus Count
    Collections
    Preprints; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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