File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: On distribution of contact forces in random granular packings

TitleOn distribution of contact forces in random granular packings
Authors
KeywordsElasticity
Granular materials
Random packings
Issue Date2004
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa
Citation
Physica A: Statistical Mechanics And Its Applications, 2004, v. 339 n. 3-4, p. 207-227 How to Cite?
AbstractIn an earlier paper, Ngan (Phys. Rev. E 68 (2003) 011301) proposed a statistical mechanics-based theory to predict the mathematical form of the probability force distribution of contact forces in stressed granular packings. However, the wrong choice of the mean-force constraint in that work leads to unsatisfactory prediction in the 3D situation, although the 2D prediction is very accurate. The present work shows that a different mean-strain constraint chosen for the force distribution can yield the correct prediction when compared to computer simulation results in both 2D and 3D. Furthermore, new simulation results are used to verify the interpretation that the shape of the force distribution, measured by a parameter κ in the predicted force distribution, is a structure-sensitive term. © 2004 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/75638
ISSN
2023 Impact Factor: 2.8
2023 SCImago Journal Rankings: 0.661
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorNgan, AHWen_HK
dc.date.accessioned2010-09-06T07:13:07Z-
dc.date.available2010-09-06T07:13:07Z-
dc.date.issued2004en_HK
dc.identifier.citationPhysica A: Statistical Mechanics And Its Applications, 2004, v. 339 n. 3-4, p. 207-227en_HK
dc.identifier.issn0378-4371en_HK
dc.identifier.urihttp://hdl.handle.net/10722/75638-
dc.description.abstractIn an earlier paper, Ngan (Phys. Rev. E 68 (2003) 011301) proposed a statistical mechanics-based theory to predict the mathematical form of the probability force distribution of contact forces in stressed granular packings. However, the wrong choice of the mean-force constraint in that work leads to unsatisfactory prediction in the 3D situation, although the 2D prediction is very accurate. The present work shows that a different mean-strain constraint chosen for the force distribution can yield the correct prediction when compared to computer simulation results in both 2D and 3D. Furthermore, new simulation results are used to verify the interpretation that the shape of the force distribution, measured by a parameter κ in the predicted force distribution, is a structure-sensitive term. © 2004 Elsevier B.V. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physaen_HK
dc.relation.ispartofPhysica A: Statistical Mechanics and its Applicationsen_HK
dc.rightsPhysica A: Statistical Mechanics and its Applications. Copyright © Elsevier BV.en_HK
dc.subjectElasticityen_HK
dc.subjectGranular materialsen_HK
dc.subjectRandom packingsen_HK
dc.titleOn distribution of contact forces in random granular packingsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0378-4371&volume=339&spage=207&epage=227&date=2004&atitle=On+distribution+of+contact+forces+in+random+granular+packingsen_HK
dc.identifier.emailNgan, AHW:hwngan@hkucc.hku.hken_HK
dc.identifier.authorityNgan, AHW=rp00225en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.physa.2004.03.068en_HK
dc.identifier.scopuseid_2-s2.0-2942616946en_HK
dc.identifier.hkuros88671en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-2942616946&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume339en_HK
dc.identifier.issue3-4en_HK
dc.identifier.spage207en_HK
dc.identifier.epage227en_HK
dc.identifier.isiWOS:000222378500002-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridNgan, AHW=7006827202en_HK
dc.identifier.issnl0378-4371-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats