Cristin-resultat-ID: 2006640
Sist endret: 16. juni 2022, 10:35
NVI-rapporteringsår: 2022
Resultat
Vitenskapelig oversiktsartikkel/review
2022

Modelling of environmental ageing of polymers and polymer composites—durability prediction methods

Bidragsytere:
  • Olesja Starkova
  • Abedin Gagani
  • Christian Karl
  • Iuri B. C. M. Rocha
  • Juris Burlakovs og
  • Andrejs Krauklis

Tidsskrift

Polymers
ISSN 2073-4360
e-ISSN 2073-4360
NVI-nivå 1

Om resultatet

Vitenskapelig oversiktsartikkel/review
Publiseringsår: 2022
Publisert online: 2022
Volum: 14
Hefte: 5
Artikkelnummer: 907
Open Access

Importkilder

Scopus-ID: 2-s2.0-85127470434

Klassifisering

Vitenskapsdisipliner

Matematikk og naturvitenskap

Emneord

Miljø • Polymerer • Levetid • Matematisk modellering • Aldring • Testing

Beskrivelse Beskrivelse

Tittel

Modelling of environmental ageing of polymers and polymer composites—durability prediction methods

Sammendrag

Polymers and polymer composites are negatively impacted by environmental ageing, reducing their service lifetimes. The uncertainty of the material interaction with the environment compromises their superior strength and stiffness. Validation of new composite materials and structures often involves lengthy and expensive testing programs. Therefore, modelling is an affordable alternative that can partly replace extensive testing and thus reduce validation costs. Durability prediction models are often subject to conflicting requirements of versatility and minimum experimental efforts required for their validation. Based on physical observations of composite macroproperties, engineering and phenomenological models provide manageable representations of complex mechanistic models. This review offers a systematised overview of the state-of-the-art models and accelerated testing methodologies for predicting the long-term mechanical performance of polymers and polymer composites. Accelerated testing methods for predicting static, creep, and fatig ue lifetime of various polymers and polymer composites under environmental factors’ single or coupled influence are overviewed. Service lifetimes are predicted by means of degradation rate models, superposition principles, and parametrisation techniques. This review is a continuation of the authors’ work on modelling environmental ageing of polymer composites: the first part of the review covered multiscale and modular modelling methods of environmental degradation. The present work is focused on modelling engineering mechanical properties.

Bidragsytere

Olesja Starkova

  • Tilknyttet:
    Forfatter
    ved Latvijas Universitāte

Abedin Gagani

  • Tilknyttet:
    Forfatter
    ved Italia

Christian Karl

  • Tilknyttet:
    Forfatter
    ved Materialer og nanoteknologi ved SINTEF AS

Iuri B. C. M. Rocha

  • Tilknyttet:
    Forfatter
    ved Technische Universiteit Delft

Juris Burlakovs

  • Tilknyttet:
    Forfatter
    ved Eesti Maaülikool
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