2018
DOI: 10.1029/2018jb016336
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The Accumulation of Slip Deficit in Subduction Zones in the Absence of Mechanical Coupling: Implications for the Behavior of Megathrust Earthquakes

Abstract: The distribution of slip during subduction megathrust earthquakes depends on the slip deficit that accumulates on the plate interface prior to the event. We develop 3‐D finite element models of subduction zones to investigate how locked zones restrict surrounding regions on the plate boundary from sliding. What is new is that we quantify the slip around asperities on the megathrust. The models show plate interface slip increasing from zero at the edge of a locked zone to the relative plate motion over a distan… Show more

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Cited by 36 publications
(72 citation statements)
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“…Although binary locking may be a simplification of the plate interface rheology, it produces similar results as more complex representations of the megathrust (e.g., Corbi et al, 2017;Herman et al, 2018;Hetland & Simons, 2010;Kaneko et al, 2010). This is because the continuum mechanics underlying Equation 1 are valid independent of the specific megathrust rheology.…”
Section: 1029/2020gc009063mentioning
confidence: 91%
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“…Although binary locking may be a simplification of the plate interface rheology, it produces similar results as more complex representations of the megathrust (e.g., Corbi et al, 2017;Herman et al, 2018;Hetland & Simons, 2010;Kaneko et al, 2010). This is because the continuum mechanics underlying Equation 1 are valid independent of the specific megathrust rheology.…”
Section: 1029/2020gc009063mentioning
confidence: 91%
“…In this study, we assume that every location on the plate interface is in one of two possible states: fully locked with zero slip or fully unlocked with no resistance to slip (Figures 1c and 1d). Previous studies used finite element models (FEMs) to determine the distribution of fault slip rates under these binary 10.1029/2020GC009063 locking conditions (Gans et al, 2003;Herman et al, 2018;Malservisi et al, 2003), but FEMs are too computationally expensive to run many times in a statistical search. For example, the converged 3-D FEM of Herman et al (2018) takes up to 60 s to run on a single processor.…”
Section: Computing Fault Slipmentioning
confidence: 99%
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