Evidence map›Paper›PMID 38300965›Full record

ArticlePloS one2024

Characterization of viscoelastic behavior of basalt fiber asphalt mixtures based on discrete and continuous spectrum models.

Qi Huang, Xiaogang Kang, Pengfei Chen, Zhengji Zhang, Er-Hu Yan, Zhuohang Zang, Han Yan

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 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

7 authors.

Qi HuangSchool of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou, P. R. China.
Xiaogang KangSchool of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou, China.ORCID 0009-0002-2902-712X
Pengfei ChenCCCC First Highway Engineering Group Co., Ltd., Beijing, China.
Zhengji ZhangSchool of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou, China.
Er-Hu YanResearch Institute of Highway, Ministry of Transport, Beijing, China.ORCID 0009-0000-0103-4665
Zhuohang ZangSchool of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou, China.
Han YanSchool of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to analyze the differences between the master curves of relaxation modulus E(t) and creep compliance J(t) obtained from discrete and continuous spectrum models, and to comprehensively evaluate the effect of basalt fiber content on the viscoelastic behavior of asphalt mixtures, complex modulus tests were conducted for asphalt mixtures with fiber content of 0%, 0.1%, 0.2% and 0.3%, respectively. Consequently, the master curves of Viscoelastic Parameters of asphalt mixtures were constructed according to the generalized Sigmoidal model(GSM) and the approximate Kramers-Kronig (K-K) relationship. Then, transformation of master curves using discrete and continuous spectrum models to obtain the models of E(t) and J(t) containing all viscoelastic information. Also, the accuracy of the models of E(t) and J(t) was evaluated. The results show that the addition of basalt fibers improves the strength, stress relaxation and deformation resistance of asphalt mixtures. It is worth noting that basalt fibers achieve the improvement of asphalt mixtures by changing their internal structure. Considering the different viscoelastic master curves at four dosages, the optimum fiber dosage was 0.2%. In addition, both discrete and continuous model conversion methods can obtain high accuracy conversion results.

Indexed as

GastropodaSilicatesAnimalsHydrocarbonsRelaxationasphaltbasaltHydrocarbonsSilicates

Identifiers

PMID38300965
PMCPMC10833572

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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.