Evidence map›Paper›PMID 42513777›Full record

ArticleMaterials (Basel, Switzerland)2026

Optimization of Preparation Process and Performance of Crumb Rubber/SBS-Composite-Modified Bitumen.

Renzhe Lei, Jianzhong Huang, Zhao Wang, Haojie Ji, Zunqing Liu, Jian Sun

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.

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

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.

Renzhe LeiCollege of Transportation and Logistics Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Jianzhong HuangCCCC Second Highway Engineering Co., Ltd., Xi'an 710065, China.
Zhao WangCCCC Second Highway Engineering Co., Ltd., Xi'an 710065, China.
Haojie JiCollege of Transportation and Logistics Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Zunqing LiuCollege of Transportation and Logistics Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Jian SunCollege of Transportation and Logistics Engineering, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0001-8997-7616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To enhance the comprehensive performance of crumb rubber (CR)/SBS-composite-modified bitumen, an orthogonal experimental design was first adopted to analyze the effects of process parameters-including the addition sequence, shearing duration, shearing temperature and shearing speed-on the conventional properties of bitumen. Furthermore, based on the Box-Behnken response surface methodology, quadratic regression predictive models for the dosages of SBS, waste crumb rubber and aromatic oil were constructed, and the entropy-weighted TOPSIS method was introduced to comprehensively evaluate and multi-objectively optimize the proportioning schemes. The results indicate that a reasonable preparation process can significantly promote the uniform dispersion of modifiers, distinct non-linear interactions exist among the dosages of each modifier, and the optimal proportion balancing both high- and low-temperature performance was obtained through optimization. The constructed models exhibit good predictive accuracy, and the optimized CR/SBS-composite-modified bitumen showed excellent conventional properties and storage stability, which can provide a theoretical reference for the recycling of waste tires and the engineering application of composite-modified bitumen.

Indexed as

crumb rubber/SBS composite modified bitumenentropy-weighted TOPSIS methodorthogonal designresponse surface methodology

Identifiers

PMID42513777
PMCPMC13413367

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.