Evidence map›Paper›PMID 42122670›Full record

ArticlePolymers2026

RSM-Based Modelling and Optimization of the Synergistic Effects of Waste Tyre Metal Fibre on the Electrical Resistivity and Mechanical Properties of Asphalt Mixes.

Arsalaan Khan Yousafzai, Muhammad Imran Khan, Mohamed Mubarak Abdul Wahab, Jacob Adedayo Adedeji, Xoliswa Evelyn Feikie, Nura Shehu Aliyu Yaro

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. Not yet cited in PubMed.

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

Arsalaan Khan YousafzaiDepartment of Civil Engineering, Faculty of Civil, Agricultural & Mining Engineering, University of Engineering & Technology Peshawar, Peshawar 25120, Pakistan.ORCID 0000-0001-8768-4975
Muhammad Imran KhanDepartment of Civil Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia.ORCID 0000-0002-7185-0622
Mohamed Mubarak Abdul WahabDepartment of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Jacob Adedayo AdedejiSustainable Environment and Transportation Research Group (SET-RG), Department of Civil Engineering Midlands, Durban University of Technology, Private Bag X01, Scottsville, Pietermaritzburg 3021, South Africa.ORCID 0000-0002-3222-7846
Xoliswa Evelyn FeikieSustainable Environment and Transportation Research Group (SET-RG), Department of Civil Engineering and Geomatics, Durban University of Technology, Durban 4000, South Africa.ORCID 0000-0001-6862-9188
Nura Shehu Aliyu YaroSustainable Environment and Transportation Research Group (SET-RG), Department of Civil Engineering Midlands, Durban University of Technology, Private Bag X01, Scottsville, Pietermaritzburg 3021, South Africa.ORCID 0000-0002-7780-9620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The disposal of waste tyres presents a significant environmental challenge, necessitating sustainable, high-value recycling solutions. This study explores the incorporation of waste tyre metal fibre (WTMF) into hot mix asphalt (HMA) to enhance mechanical performance while reducing its electrical resistivity as well as the landfill burden. The primary goal of this research is to apply response surface methodology (RSM) to experimental data for modelling and optimizing WTMF-modified HMA mixes by capturing the coupled effects of fibre reinforcement and binder content on mechanical and functional performance. The microstructural characteristics of WTMF were examined using scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray diffraction (XRD). WTMF-modified mixes containing five WTMF dosages (from 0% to 1.50%) and bitumen contents from 4% to 6% were prepared and tested in the laboratory. The resulting dataset was used for RSM modelling, with WTMF and bitumen contents as input factors and Marshall stability, flow, porosity, and electrical resistivity as response variables. The central composite design (CCD) technique was employed to quantify interaction effects and to identify statistically significant trends. The developed models were validated using statistical indicators, and optimal mixture compositions were determined and experimentally verified. Microstructural analysis revealed WTMF's irregular, rough surface with microcracks and pits, aiding crack-bridging and stress transfer. RSM results indicated 0.71% WTMF and 5.1% bitumen as an optimal combination of factors. Furthermore, high R

Indexed as

electrical resistivityhot mix asphaltMarshall propertiesoptimizationRSMwaste tyre metal fibre

Identifiers

PMID42122670
PMCPMC13164776

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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.