Evidence map›Paper›PMID 40284265›Full record

ArticlePolymers2025

Research on the Microscopic Aging Characteristics of Asphalt Binder Based on Atomic Force Microscopy.

Wenhui Li, Peiwen Hao, Guofeng Liu, Zhigang Li, Chen Le, Chun Wang, Wenduo Ma, Shaohui Li

Abstract read
In one paragraph

Article in Polymers, 2025. 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

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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Wenhui LiSchool of Highway, Chang'an University, Xi'an 710064, China.
Peiwen HaoSchool of Highway, Chang'an University, Xi'an 710064, China.
Guofeng LiuYunnan Ningyong Expressway Co., Ltd., Lijiang 674300, China.
Zhigang LiSchool of Civil and Architectural Engineering, Xi'an University of Science and Technology, Xi'an 710064, China.
Chen LeSchool of Highway, Chang'an University, Xi'an 710064, China.
Chun WangSchool of Highway, Chang'an University, Xi'an 710064, China.
Wenduo MaSchool of Highway, Chang'an University, Xi'an 710064, China.
Shaohui LiSchool of Highway, Chang'an University, Xi'an 710064, China.

Funding

National Key Research and Development Program of China 2021YFB2601000Science and Technology Major Project of Ordos City 2022EEDSKJZDZX013Science and Technology Project of Transportation Department of Yunnan Province NY-FW-GCHT-18
6 · The paper itself

Abstract

To deeply analyze the difference between styrene-butadiene-styrene (SBS)-modified asphalt and base asphalt in ultraviolet (UV) aging performance, an atomic force microscope was used to carry out an accurate analysis of the bee structural characteristic parameters of two kinds of asphalt experiencing different UV aging time duration. With the advantages of the Levenberg-Marquardt (LM) algorithm and universal global optimization (UGO) algorithm, the relationship between the microscopic characteristic value and the performance index of asphalt under UV aging was constructed. The results show that the physical parameters of the bee structure of asphalt are closely related to the macroscopic properties of asphalt materials. Because the number of bee structures of SBS-modified asphalt is significantly more than that of base asphalt, and in the process of UV aging, the absolute height and area of the bee structure fluctuate less, and the adhesion force fluctuates with aging time. The decreasing trend makes SBS-modified asphalt significantly better than base asphalt in anti-UV aging performance. Under different UV aging time durations, the penetration and aging index (AI) of the two kinds of asphalt showed an excellent linear relationship with the microscopic indexes measured by atomic force microscope (AFM). Through the nonlinear optimization algorithm, the prediction equations of the morphology height and adhesion force of the two kinds of asphalt under different aging stages were successfully derived. The research results can provide theoretical support for the optimization and improvement of the UV aging performance of SBS-modified asphalt.

Indexed as

AFMaging performance predictionmicrostructurenonlinear optimization algorithmroad engineeringUV aging

Identifiers

PMID40284265
PMCPMC12030685

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Registered trials

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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.