Evidence map›Paper›PMID 35267730›Full record

ReviewPolymers2022

Modelling of Environmental Ageing of Polymers and Polymer Composites-Durability Prediction Methods.

Olesja Starkova, Abedin I Gagani, Christian W Karl, Iuri B C M Rocha, Juris Burlakovs, Andrey E Krauklis

Abstract readReview
In one paragraph

Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Olesja StarkovaInstitute for Mechanics of Materials, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia.ORCID 0000-0003-1689-5163
Abedin I GaganiSiemens Digital Industries Software, Via Werner von Siemens 1, 20128 Milan, Italy.ORCID 0000-0002-4715-5646
Christian W KarlSINTEF Industry, Forskningsveien 1, 0373 Oslo, Norway.ORCID 0000-0002-8797-3926
Iuri B C M RochaFaculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, The Netherlands.
Juris BurlakovsInstitute of Forestry and Rural Engineering, Estonian University of Life Sciences, 5 Kreutzwaldi St., 51014 Tartu, Estonia.ORCID 0000-0003-0269-4790
Andrey E KrauklisInstitute for Mechanics of Materials, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia.ORCID 0000-0003-2380-4450

Funding

European Regional Development Fund within the Activity 1.1.1.2 "Post-doctoral Research Aid" of the Specific Aid Objective 1.1.1 of the Operational Programme "Growth and Employment" Nr.1.1.1.2/VIAA/4/20/606Latvian Council of Science lzp-2020/2-0207Research Council of Norway grant number: 310008
6 · The paper itself

Abstract

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.

Indexed as

accelerated testingbiodegradable polymerscreepdurabilityenvironmental ageingfatiguefibre reinforced compositeslifetime predictionmodellingplastic failurepolymer compositessuperposition principles

Identifiers

PMID35267730
PMCPMC8912441

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.