Evidence map›Paper›PMID 40628927›Full record

ArticleScientific reports2025

Effects of calcined dolomite on the fatigue performance of asphalt concrete affected by water with variable acidity.

Mehdi Mehdinazar, Gholam Hossein Hamedi, Amir Hossein Asadi

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

3 authors.

Mehdi MehdinazarDepartment of Civil Engineering, Imam Khomeini International University, Qazvin, Iran.
Gholam Hossein HamediDepartment of Civil Engineering, University of Guilan, Rasht, Iran. hamedi@guilan.ac.ir.
Amir Hossein AsadiDepartment of Civil Engineering, University of Guilan, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface contaminants on pavements, combined with road runoff, can alter the pH of water infiltrating the asphalt concrete (AC), which weakens the mixture's resistance to failures such as fatigue cracking. To address this, we evaluated the potential of calcined dolomite powder for enhancing moisture resistance in asphalt mixtures by adding it to bitumen at 0.5% and 1% by weight. We conducted tests across varying pH levels (5-9) using two bitumen grades (PG 58-22, PG 64-16) and two aggregate types (limestone and granite). We assessed mechanical performance with the dynamic shear rheometer and semi-circular bending tests, and analyzed thermodynamic behavior using surface free energy theory through the Wilhelmy Plate and Universal Sorption Device methods to study adhesion and cohesion between materials. Acidic and basic moisture conditions-particularly acidic-reduced the adhesion of the bitumen-aggregate system by decreasing their debonding energy by 30% across various pH levels. This weakened adhesion increased the likelihood of fatigue crack formation at the bitumen-aggregate interface. In contrast, calcined dolomite improved bitumen-aggregate adhesion in both acidic/basic environments. Statistical analysis further demonstrated that increasing the calcined dolomite content from 0.5 to 1% significantly reduced the negative effect of acidic and basic waters on bitumen-aggregate adhesion. Mechanical testing methods also corroborated the thermodynamic evaluation. Specifically, calcined dolomite significantly enhanced fracture energy and fracture toughness of the AC, and the bitumen's fatigue parameter under various moisture conditions. Calcined dolomite enhances both adhesive strength of the bitumen-aggregate and the bitumen's cohesive strength by modifying bitumen's polar and non-polar properties, ultimately increasing the mechanical resistance of both bitumen and AC against fatigue-induced cracking through both adhesive and cohesive failure mechanisms.

Indexed as

Asphalt concreteCalcined dolomiteDynamic shear rheometer testFatigue crackingRunoff aciditySemi-circular bending testSurface free energy

Identifiers

PMID40628927
PMCPMC12238401

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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.