Evidence map›Paper›PMID 33804905›Full record

ArticleMaterials (Basel, Switzerland)2021

Combined Peridynamics and Discrete Multiphysics to Study the Effects of Air Voids and Freeze-Thaw on the Mechanical Properties of Asphalt.

Danilo Sanfilippo, Bahman Ghiassi, Alessio Alexiadis, Alvaro Garcia Hernandez

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Modal Analysis Using Digital Image Correlation Technique.Materials (Basel, Switzerland) · 2022
    Article
  4. Article
  5. Article
  6. Review
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

4 authors.

Danilo SanfilippoDepartment of Civil Engineering, University of Nottingham, NG7 2RD, Nottingham, UK.
Bahman GhiassiDepartment of Civil Engineering, University of Nottingham, NG7 2RD, Nottingham, UK.ORCID 0000-0003-4212-8961
Alessio AlexiadisSchool of Chemical Engineering, University of Birmingham, B15 2TT, Birmingham, UK.ORCID 0000-0001-8730-6632
Alvaro Garcia HernandezDepartment of Civil Engineering, University of Nottingham, NG7 2RD, Nottingham, UK.ORCID 0000-0001-9240-3517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper demonstrates the use of peridynamics and discrete multiphysics to assess micro crack formation and propagation in asphalt at low temperatures and under freezing conditions. Three scenarios are investigated: (a) asphalt without air voids under compressive load, (b) asphalt with air voids and (c) voids filled with freezing water. The first two are computed with Peridynamics, the third with peridynamics combined with discrete multiphysics. The results show that the presence of voids changes the way cracks propagate in the material. In asphalt without voids, cracks tend to propagate at the interface between the mastic and the aggregate. In the presence of voids, they 'jump' from one void to the closest void. Water expansion is modelled by coupling Peridynamics with repulsive forces in the context of Discrete Multiphysics. Freezing water expands against the voids' internal surface, building tension in the material. A network of cracks forms in the asphalt, weakening its mechanical properties. The proposed methodology provides a computational tool for generating samples of 'digital asphalt' that can be tested to assess the asphalt properties under different operating conditions.

Indexed as

asphaltdiscrete multiphysicsmathematical modellingperidynamics

Identifiers

PMID33804905
PMCPMC8036844

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.