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DTSTAMP:20210916T132449Z
LOCATION:Louis Favre
DTSTART;TZID=Europe/Stockholm:20210706T110000
DTEND;TZID=Europe/Stockholm:20210706T113000
UID:submissions.pasc-conference.org_PASC21_sess118_msa373@linklings.com
SUMMARY:Using Supercomputers to Unravel Multi-Physics and Multi-Scale Eart
 hquake Dynamics and Seismic Wave Propagation with SeisSol
DESCRIPTION:Minisymposium\n\nUsing Supercomputers to Unravel Multi-Physics
  and Multi-Scale Earthquake Dynamics and Seismic Wave Propagation with Sei
 sSol\n\nGabriel, Uphoff, Ulrich, Krenz, Wolf...\n\nEarthquakes are highly 
 non-linear multiscale problems, encapsulating the geometry and rheology of
  propagating shear fractures that render the Earth’s crust and emana
 te potentially destructive seismic waves. Using physics-based earthquake s
 cenarios, modern numerical methods and hardware specific optimisations she
 ds light on the dynamics, and severity, of earthquake behaviour. The poten
 tial of in-scale earthquake rupture simulations for augmenting earthquake 
 source observations is demonstrated in two recent examples: i) the 2016 Mw
 7.8 Kaikoura, NewZealand earthquake, considered the most complex rupture o
 bserved to date and causing surface rupture of at least 21 segments of the
  Marlborough fault system. High resolution dynamic rupture modelling [1] u
 nravels the event's riddles in a physics-based manner; ii) the2018, Mw7.5 
 Sulawesi earthquake occurring on the Palu-Koro strike-slip fault system so
 urcing an unexpected localised tsunami within Palu Bay. The achieved degre
 e of realism and accuracy in both examples is enabled by the open-source s
 oftware SeisSol which couples high-order accurate space-time solutions of 
 wave propagation with frictional fault failure, off-fault inelasticity and
  viscoelastic attenuation. I will discuss future directions for exploiting
  expected exascale computing infrastructure, specifically, representing co
 mplex geometries with novel geometric transformations and multi-physics by
  diffuse interfaces on adaptive cartesian meshes, thus avoiding manual mes
 hing. I will also touch on possibilities to go beyond earthquake scenarios
  unlocking the predictive power of forward simulations by a recently devel
 oped dynamic source inversion approach using a Bayesian framework.\n\nDoma
 in: CS and Math, Solid Earth Dynamics
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