Evidence map›Paper›PMID 37959422›Full record

ArticleMaterials (Basel, Switzerland)2023

Research on Fracture Behavior of Fiber-Asphalt Mixtures Using Digital Image Correlation Technology.

Bo Li, Yangyang Zhou, Aihong Kang, Keke Lou, Qianli Gu

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Bo LiCollege of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Yangyang ZhouCollege of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Aihong KangCollege of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Keke LouCollege of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Qianli GuCollege of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Yangzhou University · CN

Funding

National Natural Science Foundation of China 52178439
6 · The paper itself

Abstract

Many researchers use fiber to improve the cracking resistance of asphalt mixtures, but research concerning the effects of fiber on fracture behavior is limited. The fracture behavior of asphalt mixtures with various fiber types (basalt fiber, glass fiber, and polyester fiber) and contents (0.1%, 0.2%, 0.3%, 0.4%, and 0.5%) has been studied using the indirect tensile asphalt cracking test (IDEAL-CT) in conjunction with digital image correlation (DIC) technology. The evaluation indexes used in the test included crack initiation energy (

Indexed as

asphalt mixturecracking resistancedigital image correlation technologyfiber contentfiber typefracture behavior

Identifiers

PMID37959422
PMCPMC10647423
OpenAlexW4387909028

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.