NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTS

Detalhes bibliográficos
Autor(a) principal: André, José Reinas
Data de Publicação: 2007
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10314/3399
Resumo: In previous literature, empirical models have been applied to describe and predict the viscoelastic behavior of polymer materials. For example, the empirical power-law model seems to fit well, but only for short-term data [1, 2, 3]. Such formulations are of some utility in data reduction and extrapolation, but do not allow meaningful physical interpretations and lack generality. When we look at the dynamic behavior of polymers, we recognize the presence of a very large variety of possible and specifiable processes (responses), spanning an extremely wide range of frequencies and cluster sizes within the structure, at any given temperature. That range significantly widens and shifts to lower and lower frequencies (and larger and larger cluster sizes) as the temperature is lowered.
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spelling NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTSCreepPMMAIn previous literature, empirical models have been applied to describe and predict the viscoelastic behavior of polymer materials. For example, the empirical power-law model seems to fit well, but only for short-term data [1, 2, 3]. Such formulations are of some utility in data reduction and extrapolation, but do not allow meaningful physical interpretations and lack generality. When we look at the dynamic behavior of polymers, we recognize the presence of a very large variety of possible and specifiable processes (responses), spanning an extremely wide range of frequencies and cluster sizes within the structure, at any given temperature. That range significantly widens and shifts to lower and lower frequencies (and larger and larger cluster sizes) as the temperature is lowered.EPF 20072016-11-28T02:37:37Z2016-11-282007-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10314/3399http://hdl.handle.net/10314/3399engAndré, José Reinasinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-30T03:00:09ZPortal AgregadorONG
dc.title.none.fl_str_mv NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTS
title NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTS
spellingShingle NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTS
André, José Reinas
Creep
PMMA
title_short NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTS
title_full NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTS
title_fullStr NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTS
title_full_unstemmed NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTS
title_sort NON-LINEAR CREEP OF PMMA: SERVICE PERFORMANCE PREDICTION FROM SHORT-TERM TESTS
author André, José Reinas
author_facet André, José Reinas
author_role author
dc.contributor.author.fl_str_mv André, José Reinas
dc.subject.por.fl_str_mv Creep
PMMA
topic Creep
PMMA
description In previous literature, empirical models have been applied to describe and predict the viscoelastic behavior of polymer materials. For example, the empirical power-law model seems to fit well, but only for short-term data [1, 2, 3]. Such formulations are of some utility in data reduction and extrapolation, but do not allow meaningful physical interpretations and lack generality. When we look at the dynamic behavior of polymers, we recognize the presence of a very large variety of possible and specifiable processes (responses), spanning an extremely wide range of frequencies and cluster sizes within the structure, at any given temperature. That range significantly widens and shifts to lower and lower frequencies (and larger and larger cluster sizes) as the temperature is lowered.
publishDate 2007
dc.date.none.fl_str_mv 2007-01-01T00:00:00Z
2016-11-28T02:37:37Z
2016-11-28
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10314/3399
http://hdl.handle.net/10314/3399
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dc.language.iso.fl_str_mv eng
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dc.publisher.none.fl_str_mv EPF 2007
publisher.none.fl_str_mv EPF 2007
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