BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210916T132455Z
LOCATION:Louis Favre
DTSTART;TZID=Europe/Stockholm:20210709T150000
DTEND;TZID=Europe/Stockholm:20210709T153000
UID:submissions.pasc-conference.org_PASC21_sess134_msa268@linklings.com
SUMMARY:Stochastic Modeling for Earthquakes, an Alternative Method for Und
 erstanding the Seismic Process
DESCRIPTION:Minisymposium\n\nStochastic Modeling for Earthquakes, an Alter
 native Method for Understanding the Seismic Process\n\nMonterrubio, Zúñiga
 , de la Puente, Aguilar-Melendez, Carrasco-Jimenez...\n\nIn general terms,
  earthquakes are the result of brittle failure within the heterogeneous cr
 ust  of the Earth. However, the rupture process of a heterogeneous ma
 terial is a complex physical problem that is difficult to model deter
 ministically due to numerous parameters and physical conditions, which are
  largely unknown. Seismology employs two simplified representations o
 f earthquakes, namely earthquakes as point sources in stochastic nons
 tationary processes or earthquakes as seismic waves radiating from finite&
 nbsp;sources. Usually seismic models are based on continuum mechanics, alt
 hough many aspects of the rupture processes follow a nonlinear comple
 x or fractal behaviour. Many seismological studies show statistical self-s
 imilar nature over a broad range of scales. We study earthquake pheno
 mena via numerical simulations using the sTochastic Rupture Earthquak
 e MOdeL, TREMOL, that is based on the Fiber Bundle Model (FBM). The FBM is
  a discrete model developed to study the rupture process in heterogen
 eous materials from a stochastic rather than a deterministic perspect
 ive. The FBM describes the interactions of individual cells, featurin
 g particular transfer load rules and a probability distribution function&n
 bsp;describing the intrinsic cell properties. The TREMOL model generates s
 eismic synthetic catalogs that show many statistical features of real
  events, observed in different seismic stages, such as mainshocks and
  aftershocks. The synthetic catalogs generated with TREMOL strongly d
 epend on the input model parameters. As a means to establish simpler 
 input/output relations for our stochastic models, Machine Learning te
 chniques have been developed, on top of TREMOL, in order to produce simula
 tions that reproduce real statistical features of earthquakes.\n\nDom
 ain: CS and Math, Physics, Solid Earth Dynamics
END:VEVENT
END:VCALENDAR