Evidence map›Paper›PMID 35160350›Full record

ReviewPolymers2022

A Review on the Modeling of the Elastic Modulus and Yield Stress of Polymers and Polymer Nanocomposites: Effect of Temperature, Loading Rate and Porosity.

Reema H Alasfar, Said Ahzi, Nicolas Barth, Viktor Kochkodan, Marwan Khraisheh, Muammer Koç

Open access · goldAbstract 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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.9field-weighted citation impact, top 2% of its field
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

32 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Recent Developments in Nanoparticle-Hydrogel Hybrid Materials for Controlled Release.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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 at 2 institutions in 1 country.

Reema H AlasfarDivision of Sustainable Development, College of Science and Engineering, Hamad bin Khalifa University, Doha P.O. Box 34110, Qatar.
Said AhziMechanical Engineering Program, Texas A&M University at Qatar, Doha P.O. Box 34110, Qatar.
Nicolas BarthQatar Environment and Energy Research Institute, Hamad bin Khalifa University, Doha P.O. Box 34110, Qatar.
Viktor KochkodanQatar Environment and Energy Research Institute, Hamad bin Khalifa University, Doha P.O. Box 34110, Qatar.
Marwan KhraishehMechanical Engineering Program, Texas A&M University at Qatar, Doha P.O. Box 34110, Qatar.ORCID 0000-0003-3761-1887
Muammer KoçDivision of Sustainable Development, College of Science and Engineering, Hamad bin Khalifa University, Doha P.O. Box 34110, Qatar.ORCID 0000-0001-6543-8116
Hamad bin Khalifa University · QATexas A&M University at Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous polymer-based nanocomposites have been used for various applications due to their advantages, including multi-functionalities, easy and known manufacturability, and low cost. Understanding of their mechanical properties has become essential to expand the nanocomposites' applications and efficiency, including service-life, resistance to different loads, and reliability. In this review paper, the focus is on the modeling of the mechanical properties of porous polymer-based nanocomposites, including the effects of loading rates, operational temperatures, and the material's porosity. First, modeling of the elastic modulus and yield stress for glassy polymers and polymer reinforced by nanofillers are addressed. Then, modeling of porosity effects on these properties for polymers are reviewed, especially via the use of the well-known power-law approach linking porosity to elastic modulus and/or stress. Studies related to extending the mechanical modeling to account for porosity effects on the elastic modulus and yield stress of polymers and polymer-nanocomposites are discussed. Finally, a brief review of the implementation of this modeling into 3D computational methods to predict the large elastic-viscoplastic deformation response of glassy polymers is presented. In addition to the modeling part, the experimental techniques to measure the elastic modulus and the yield stress are discussed, and applications of polymers and polymer composites as membranes for water treatment and scaffolds for bone tissue engineering are addressed. Some modeling results and validation from different studies are presented as well.

Indexed as

elastic modulusmodelingpolymer nanocompositespolymersporosity effectstrain rate effecttemperature effectsyield stress

Identifiers

PMID35160350
PMCPMC8838186
OpenAlexW4206548541

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.