Abelian threshold models and forced weakening
Mean field slider block models have provided an important entry point for understanding the behavior of discrete driven threshold systems. We present a method of constructing these models with an arbitrary frictional weakening function. This `forced weakening' method unifies several existing ap...
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creator | Preston, Eric F Martins, Jorge S. Sá Rundle, John B |
description | Mean field slider block models have provided an important entry point for
understanding the behavior of discrete driven threshold systems. We present a
method of constructing these models with an arbitrary frictional weakening
function. This `forced weakening' method unifies several existing approaches,
and multiplies the range of possible weakening laws. Forced weakening also
results in Abelian rupture propagation, so that an avalanche size depends only
on the initial stress distribution. We demonstrate how this may be used to
accurately predict the long-time event statistics of a simulation. |
doi_str_mv | 10.48550/arxiv.cond-mat/0103452 |
format | Article |
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understanding the behavior of discrete driven threshold systems. We present a
method of constructing these models with an arbitrary frictional weakening
function. This `forced weakening' method unifies several existing approaches,
and multiplies the range of possible weakening laws. Forced weakening also
results in Abelian rupture propagation, so that an avalanche size depends only
on the initial stress distribution. We demonstrate how this may be used to
accurately predict the long-time event statistics of a simulation.</description><identifier>DOI: 10.48550/arxiv.cond-mat/0103452</identifier><language>eng</language><subject>Physics - Disordered Systems and Neural Networks ; Physics - Statistical Mechanics</subject><creationdate>2001-03</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/cond-mat/0103452$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.cond-mat/0103452$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Preston, Eric F</creatorcontrib><creatorcontrib>Martins, Jorge S. Sá</creatorcontrib><creatorcontrib>Rundle, John B</creatorcontrib><title>Abelian threshold models and forced weakening</title><description>Mean field slider block models have provided an important entry point for
understanding the behavior of discrete driven threshold systems. We present a
method of constructing these models with an arbitrary frictional weakening
function. This `forced weakening' method unifies several existing approaches,
and multiplies the range of possible weakening laws. Forced weakening also
results in Abelian rupture propagation, so that an avalanche size depends only
on the initial stress distribution. We demonstrate how this may be used to
accurately predict the long-time event statistics of a simulation.</description><subject>Physics - Disordered Systems and Neural Networks</subject><subject>Physics - Statistical Mechanics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzrtuwjAUgGEvHRD0GfDCaPAV2yNCvSAhdckeHfvYEJE4lYN6efu2lOnffn2ELAVfa2cM30D96j7WcSzIBrhuuOBKGzkjbBdS30Gh13NN03nskQ4jpn6iUJDmscaE9DPBJZWunBbkIUM_pcd756R5fmr2r-z49nLY744MrJfMZ-msBNRondEqhK3KUmZluNXOQRRbYcBzK0TAyBGSyIbH4K1Dk5V3ak5W_9ubun2v3QD1u_3Tt7_69q5XP-jPQd8</recordid><startdate>20010321</startdate><enddate>20010321</enddate><creator>Preston, Eric F</creator><creator>Martins, Jorge S. Sá</creator><creator>Rundle, John B</creator><scope>GOX</scope></search><sort><creationdate>20010321</creationdate><title>Abelian threshold models and forced weakening</title><author>Preston, Eric F ; Martins, Jorge S. Sá ; Rundle, John B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a792-9f2872ad4d78543bb63f22f3507488ac1615a90711bdc0dae1f50cb978d5f3983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Physics - Disordered Systems and Neural Networks</topic><topic>Physics - Statistical Mechanics</topic><toplevel>online_resources</toplevel><creatorcontrib>Preston, Eric F</creatorcontrib><creatorcontrib>Martins, Jorge S. Sá</creatorcontrib><creatorcontrib>Rundle, John B</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Preston, Eric F</au><au>Martins, Jorge S. Sá</au><au>Rundle, John B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Abelian threshold models and forced weakening</atitle><date>2001-03-21</date><risdate>2001</risdate><abstract>Mean field slider block models have provided an important entry point for
understanding the behavior of discrete driven threshold systems. We present a
method of constructing these models with an arbitrary frictional weakening
function. This `forced weakening' method unifies several existing approaches,
and multiplies the range of possible weakening laws. Forced weakening also
results in Abelian rupture propagation, so that an avalanche size depends only
on the initial stress distribution. We demonstrate how this may be used to
accurately predict the long-time event statistics of a simulation.</abstract><doi>10.48550/arxiv.cond-mat/0103452</doi><oa>free_for_read</oa></addata></record> |
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subjects | Physics - Disordered Systems and Neural Networks Physics - Statistical Mechanics |
title | Abelian threshold models and forced weakening |
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