Evidence map›Paper›PMID 42120467›Full record

ArticleScientific reports2026

Machine learning-driven optimization of asphalt performance using eco-friendly waste modifiers.

Priyam Nath Bhowmik, Kezia Saini, Pradyut Anand, Prachi Kushwaha, Pragya Prakash, Sanchit Anand

Abstract read
In one paragraph

Article in Scientific reports, 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.

Priyam Nath BhowmikDepartment of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, 500118, India.
Kezia SainiDepartment of Mathematics, Madanapalle Institute of Technology and Science, Kurabalakota, Andhra Pradesh, 517325, India.
Pradyut AnandDepartment of Civil Engineering, School of Engineering and Technology, Noida International University, Greater Noida, Uttar Pradesh, 201310, India. pradyut.bitmesra@gmail.com.
Prachi KushwahaDepartment of Civil Engineering, Nirma University, Ahmedabad, Gujarat, 382481, India. prachi0409@gmail.com.
Pragya PrakashGovernment Engineering College, Banka, Bihar, 813102, India.
Sanchit AnandDepartment of Civil Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India. sanchit.anand@jaipur.manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustainable road construction is crucial in minimizing energy consumption, greenhouse gas emissions, and depletion of natural resources. Traditional asphalt production practices are under scrutiny due to their environmental impact, necessitating a shift towards sustainable technologies. Incorporating waste materials like Low-Density Polyethylene (LDPE) and Wood Apple Shell (WAS) powder in asphalt can improve mechanical properties, reduce material costs, and contribute to sustainability by reducing reliance on virgin materials and diverting waste from landfills. This research investigates the effects of these modifiers on asphalt properties, durability, and environmental impact, offering insights into eco-friendly practices for sustainable road infrastructure without conducting a full environmental life cycle assessment. The comprehensive analysis of LDPE + WAS modified asphalt mixtures identifies the 6% dosage as optimal, demonstrating superior performance across mechanical properties, moisture resistance, and economic viability. The mixture achieves enhanced tensile strength and stability, with a dry ITS of 2.1 MPa and a stability of 30.0 kN, indicating improved load-bearing capacity. It also shows excellent moisture resistance with a TSR of 90%, crucial for extending pavement life. Economically, the 6% dosage offers the lowest life-cycle costs and reduced maintenance expenses, making it a cost-effective choice. The use of waste materials contributes to sustainability, while improved dynamic creep performance and complex shear modulus enhance durability under heavy traffic. These findings underscore the innovative use of LDPE + WAS in asphalt mixtures, offering significant advancements in performance, cost-effectiveness, and sustainability for road construction projects.

Indexed as

Complex shear modulusDynamic creep performanceEnvironmental sustainabilityIndirect tensile strength (ITS)Life-cycle costsSustainable construction

Identifiers

PMID42120467
PMCPMC13358081

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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.