Linked Life Data

12579572

Source:http://linkedlifedata.com/resource/pubmed/id/12579572

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2003-2-11
pubmed:abstractText
Ultra-high molecular weight polyethylene (UHMWPE) is a heterogeneous material composed of a networked substructure of grain boundary and grain aggregation. A new numerical model based on the discrete element method (DEM) was proposed to examine microscopic defect formation and propagation in UHMWPE. Numerical simulations were carried out using this model under two types of loading condition: unidirectional repetitive compression (simple loading) and bidirectional repetitive compression (switched loading). Subsurface defects were initiated and propagated in the vicinity of grain boundaries under both loading conditions. The defect propagation behavior was especially sensitive to grain boundary allocation under switched loading. An increase in defects was more rapid under switched loading than under simple loading. These numerical results showed qualitatively good agreement with experimental ones. It is suggested that the newly developed numerical method based on the DEM is a promising method to investigate fatigue behavior of a heterogeneous material such as UHMWPE under complicated loading conditions.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1549-3296
pubmed:author
pubmed:copyrightInfo
Copyright 2003 Wiley Periodicals, Inc.
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
64
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
570-82
pubmed:dateRevised
2004-12-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Numerical simulations on fatigue destruction of ultra-high molecular weight polyethylene using discrete element analyses.
pubmed:affiliation
Department of Human Engineering, National Institute of Industrial Health, 6-21-1 Nagao, Tama-ku, Kawasaki 214-8585, Japan. shibata@niih.go.jp
pubmed:publicationType
Journal Article