Evidence map›Paper›PMID 41829345›Full record

ArticlePolymers2026

Research on the Influence of Different Wax-Based Warm Mix Additives on Rheological and Aging Behaviors of High-Viscosity Modified Asphalt.

Jingqing Huang, Bei Chen, Yingchun Cai, Jinchao Yue, Bishuai Hong, Guoqi Tang

Abstract read
In one paragraph

Article in Polymers, 2026. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  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

6 authors.

Jingqing HuangSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China.
Bei ChenSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China.
Yingchun CaiSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0003-1474-4222
Jinchao YueSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China.
Bishuai HongSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China.
Guoqi TangGuolu Gaoke Engineering Technology Institute Co., Ltd., Beijing 100083, China.

Funding

Supported by the Postdoctoral Fellowship Program of CPSF GZC20251120the Scientific and Technological Projects of Henan Province 252102241018
6 · The paper itself

Abstract

This study introduces five types of wax materials to replace traditional Sasobit warm mix agents (WMAs), aiming to reduce the aging performance of high-viscosity modified asphalt (HMA) under high temperatures and optimize wax-based WMAs for a better warm mix effect and more stable performance of HMA. In this study, styrene-butadiene-styrene (SBS) modifier was first used to prepare HMA, and then wax materials were added to prepare HMA. Thin-Film Oven Tests (TFOTs) and Pressure Aging Vessel (PAV) aging tests were conducted, followed by dynamic shear rheology (DSR) tests, to study the high-temperature rheological properties of each warm mix HMA. Fourier-transform infrared spectroscopy (FTIR) tests and fluorescence microscopy were used to observe the microstructures of the asphalt. The results show that all six wax materials exhibited good warm mix effects, among which refined Fischer-Tropsch Wax 1 (RFW1) outperforms conventional Sasobit WMA in terms of warm mix effect, high-temperature rheological properties, and anti-aging performance, indicating its potential to replace Sasobit in engineering applications.

Indexed as

aging performancehigh-viscosity modified asphaltrheological propertieswarm mix agentwarm mix effect

Identifiers

PMID41829345
PMCPMC12987076

What OpenQuestion holds

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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.