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UID:7ff03bea5f8f7e167ec57b941e30cb3e
CATEGORIES:Applied and Computational Math Seminar
CREATED:20231108T150606
SUMMARY:Predicting Slip Events in Granular Media
LOCATION:Hill 525
DESCRIPTION:<p><span style="color: #212529; font-family: Calibri, Helvetica, sans-serif
 ; font-size: 16px; font-style: normal; font-weight: 400; letter-spacing: no
 rmal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none;
  widows: 2; word-spacing: 0px; white-space: normal; background-color: #ffff
 ff; float: none;">Earthquakes, snow avalanches, and landslides are well-kno
 wn phenomena that often lead to wide-scale destruction. We will concentrate
  on a small-scale system that exhibits stick-slip dynamics closely connecte
 d to the avalanches. In particular, we will consider a system of granular p
 articles confined by two walls. The top wall of the system is pulled by a s
 pring moving with constant velocity. This external forcing exposes the part
 icles to time-dependent shear stress. In the stick-slip regime, the force n
 etwork, describing the state of the system, evolves slowly and the top wall
  remains at rest until the spring force becomes sufficiently large. At this
  point, the wall slips, and an abrupt rearrangement of the force network oc
 curs. In this talk, we will show that the upcoming slip events can be predi
 cted by combining the methods of topological data analysis and Bayesian sta
 tistics. We will represent the time evolution of the force network as a tim
 e series in the space of persistence diagrams and find relevant descriptors
  in this space that are amenable to the Bayesian analysis.</span></p>
CONTACT:Miroslav Kramar (University of Oklahoma)
DTSTAMP:20260830T194002
DTSTART;TZID=America/New_York:20231114T110000
DTEND;TZID=America/New_York:20231114T120000
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