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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:Earthquakes, snow avalanches, and landslides are well-known phenomena that 
 often lead to wide-scale destruction. We will concentrate on a small-scale 
 system that exhibits stick-slip dynamics closely connected to the avalanche
 s. In particular, we will consider a system of granular particles confined 
 by two walls. The top wall of the system is pulled by a spring moving with 
 constant velocity. This external forcing exposes the particles to time-depe
 ndent shear stress. In the stick-slip regime, the force network, describing
  the state of the system, evolves slowly and the top wall remains at rest u
 ntil the spring force becomes sufficiently large. At this point, the wall s
 lips, and an abrupt rearrangement of the force network occurs. In this talk
 , we will show that the upcoming slip events can be predicted by combining 
 the methods of topological data analysis and Bayesian statistics. We will r
 epresent the time evolution of the force network as a time series in the sp
 ace of persistence diagrams and find relevant descriptors in this space tha
 t are amenable to the Bayesian analysis.\n
X-ALT-DESC;FMTTYPE=text/html:<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:20260928T232013
DTSTART;TZID=America/New_York:20231114T110000
DTEND;TZID=America/New_York:20231114T120000
SEQUENCE:0
TRANSP:OPAQUE
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