Evidence map›Paper›PMID 42195585›Full record

ArticleMaterials (Basel, Switzerland)2026

Dry Mixing Process Optimization of High-Viscosity Permeable Asphalt Mixtures Using the Response Surface Methodology (RSM) and Investigation of the Mixing Mechanism.

Zehua Chen, Longfei Mei, Dali Zhang, Jiajun Ji, Xiaoyi Ban, Zengping Zhang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zehua ChenKey Laboratory for Special Area Highway Engineering of Ministry of Education, Chang'an University, Xi'an 710064, China.
Longfei MeiKey Laboratory for Special Area Highway Engineering of Ministry of Education, Chang'an University, Xi'an 710064, China.
Dali ZhangShandong Expressway Infrastructure Construction Co., Ltd., Jinan 250099, China.
Jiajun JiKey Laboratory for Special Area Highway Engineering of Ministry of Education, Chang'an University, Xi'an 710064, China.
Xiaoyi BanKey Laboratory for Special Area Highway Engineering of Ministry of Education, Chang'an University, Xi'an 710064, China.
Zengping ZhangKey Laboratory for Special Area Highway Engineering of Ministry of Education, Chang'an University, Xi'an 710064, China.

Funding

Shaanxi Qinchuangyuan "Scientists+Engineers" Team Construction Project 2025QCY-KXJ-141the Key R&D Project in Shaanxi Province 2024GX-YBXM-371
6 · The paper itself

Abstract

To optimize the dry mixing preparation process for permeable asphalt mixtures and elucidate the microscopic mechanism of high-viscosity modifiers, this study employed Response Surface Methodology (RSM). Independent variables, including mixing temperature, dry mixing time, and wet mixing time, were selected, with Marshall stability, -10 °C splitting tensile strength, and residual stability as response indicators. The significance and fitting accuracy of the model were evaluated through Analysis of Variance and residual diagnosis. Additionally, the morphological evolution, spatial distribution, and chemical interactions of the modifier were characterized using scanning electron microscopy (SEM), fluorescence microscopy (FM), and Fourier Transform Infrared Spectroscopy (FTIR). The results revealed distinct differences in factor effects: mixing temperature most strongly influenced high-temperature performance, while wet-mixing time primarily governed low-temperature performance and water stability. Furthermore, significant interactions were observed among the variables. Multi-objective optimization determined the optimal process parameters to be a mixing temperature of 182 °C, dry mixing time of 180 s, and wet mixing time of 102 s. Experimental validation confirmed that the relative error between predicted and actual values was within 5%. Microscopic characterization revealed that under the dry mixing process, the modifier undergoes four stages: rapid melting, viscous flow, permeation diffusion, and swelling development. An appropriate mixing temperature combined with sufficient dry and wet mixing times promotes the formation of a uniform, dense spatial network structure of the modifier within the asphalt. This study validated the reliability of RSM in process optimization, providing theoretical foundations and key technical parameters for the green and efficient production of high-performance permeable asphalt mixtures.

Indexed as

dry processHVM (high-viscosity modifier)mixing mechanismmixing parameter optimizationpermeable asphalt mixtureresponse surface methodology (RSM)

Identifiers

PMID42195585
PMCPMC13208929

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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.