Evidence map›Paper›PMID 35012240›Full record

ReviewPolymers2022

Modelling of Environmental Ageing of Polymers and Polymer Composites-Modular and Multiscale Methods.

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

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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Microparticles Loaded withPharmaceuticals (Basel, Switzerland) · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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  17. Review
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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

7 authors.

Andrey E KrauklisInstitute for Mechanics of Materials, University of Latvia, Jelgavas Street 3, LV-1004 Riga, Latvia.ORCID 0000-0003-2380-4450
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
Ruta Ozola-DavidaneFaculty of Geography and Earth Sciences, University of Latvia, Raina Blvd 19, LV-1586 Riga, Latvia.ORCID 0000-0002-9227-7490
Abedin I GaganiSiemens Digital Industries Software, Via Werner von Siemens 1, 20128 Milan, Italy.
Olesja StarkovaInstitute for Mechanics of Materials, University of Latvia, Jelgavas Street 3, LV-1004 Riga, Latvia.ORCID 0000-0003-1689-5163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Service lifetimes of polymers and polymer composites are impacted by environmental ageing. The validation of new composites and their environmental durability involves costly testing programs, thus calling for more affordable and safe alternatives, and modelling is seen as such an alternative. The state-of-the-art models are systematized in this work. The review offers a comprehensive overview of the modular and multiscale modelling approaches. These approaches provide means to predict the environmental ageing and degradation of polymers and polymer composites. Furthermore, the systematization of methods and models presented herein leads to a deeper and reliable understanding of the physical and chemical principles of environmental ageing. As a result, it provides better confidence in the modelling methods for predicting the environmental durability of polymeric materials and fibre-reinforced composites.

Indexed as

accelerated testingbiodegradablecompositediffusiondurabilityenvironmental ageingfibrelifetime predictionmathematical modellingmodellingmultiscale modellingpolymer

Identifiers

PMID35012240
PMCPMC8747293

What OpenQuestion holds

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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.