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        <identifier>oai:www.ideals.illinois.edu:2142/45611</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Dahmen, Karin A.</dc:contributor>
          <dc:contributor>Weaver, Richard L.</dc:contributor>
          <dc:contributor>Dahmen, Karin A.</dc:contributor>
          <dc:contributor>Weissman, Michael B.</dc:contributor>
          <dc:contributor>Thaler, Jonathan J.</dc:contributor>
          <dc:creator>Brinkman, Braden</dc:creator>
          <dc:date>2013-08-22T16:55:16Z</dc:date>
          <dc:date>2013-08-22T16:55:16Z</dc:date>
          <dc:date>2015-08-22T10:00:33Z</dc:date>
          <dc:date>2013-08</dc:date>
          <dc:date>2013-08-22T16:55:16Z</dc:date>
          <dc:date>2013-08</dc:date>
          <dc:description>Avalanches - bursts of activity spanning a vast range of sizes - occur in a wide variety of dynamical systems, such as magnets, granular matter, earthquake faults, neuronal networks, and of course the classic example of snow 
flows on mountains. By studying the statistics of avalanche sizes, we can understand the response of
such systems to external driving forces, as well and their susceptibility to catastrophic failures. In this thesis,
I present my work using models of avalanche statistics to study large failure avalanches. In particular, I use these avalanche models to explore statistical signals which can predict the likelihood of large earthquakes in
a simple model of earthquake statistics. This analysis may also have applications to predicting seizures in neuronal networks. I also explore the eff ect that coupling has in models of disordered magnets which yield
giant magnetization-reversal avalanches, which may have applications to predicting failures in power grid networks.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-06-13T14:36:52Z
Item was in collections:
University of Illinois Theses &amp; Dissertations (ID: 1)
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Original Data
Group with Access Administrator
Release Date: 2015-08-22 11:57:26 UTC
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Item marked as restricted to the 'Administrator' Group (id=1) by Seth Robbins (srobbins@illinois.edu) on 2013-08-22T16:57:29Z
Item is restricted until 2015-08-22T16:57:26Z</dc:description>
          <dc:description>Limited Restriction Lifted for Item 45593 on 2015-08-22T10:00:33Z.</dc:description>
          <dc:identifier>http://hdl.handle.net/2142/45611</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2013 by Braden Anthony Wirum Brinkman. All rights reserved.</dc:rights>
          <dc:subject>avalanches</dc:subject>
          <dc:subject>earthquakes</dc:subject>
          <dc:subject>magnets</dc:subject>
          <dc:subject>earthquake prediction</dc:subject>
          <dc:subject>correlations</dc:subject>
          <dc:subject>Failure</dc:subject>
          <dc:subject>random field Ising model</dc:subject>
          <dc:title>Using avalanche statistics to forecast failure in models of earthquake faults and magnets</dc:title>
          <dc:type>text</dc:type>
          <degree>
            <department>Physics</department>
            <departmentCode>1244</departmentCode>
            <discipline>Physics</discipline>
            <disciplineCode>0240</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
            <program>PHD:Physics -UIUC</program>
            <programCode>10KS0240PHD</programCode>
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