Effects of coarse aggregate morphology on Asphalt mixture’s flowability: Parametric and prediction study

Morphological characteristics of aggregates affect the flowability and workability of asphalt mixtures during pavement construction. To quantify the effects of coarse aggregate morphological characteristics on its flow performance, aggregates were artificially smoothened through abrasion to different levels of angularity and then evaluted based on Angle of repose (AOR)tests in laboratory. Moreover, morphological characteristics of aggregates with different sizes were scanned and rebuilt based on Particle Flow Code (PFC). 61 sets of virtual Angle of repose tests were further conducted in order to get statistical results and help to develop a predictive model of aggregates’ flowability. The study results indicate that within the commonly used particle size range of 2.36–13.2 mm in pavement, the larger the particle size, the greater the AOR test results. Within 500 cycles of abrasion, most morphological parameters of aggregates show a clear positive correlation with its flowability. Variables based on the aggregate shape scale (Ellipse ratio and Aspect ratio), and angular scale variables(Circularity and 3D Angularity), can well predict the flowability of aggregates. The significance of their contribution to the flowability are shown as follow: Aspect ratio > 3D Angularity > Circularity > Ellipse ratio. Thus, it is important to control the morphological characteristics of aggregates within a reasonable range in order to improve the flowability and workability of asphalt mixtures during pavement construction phase.

Authors

Institutions

Publication Details

Journal
Case Studies in Construction Materials
Published
2024-09-06
DOI
https://doi.org/10.1016/j.cscm.2024.e03735
Citations
4
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of coarse aggregate morphology on Asphalt mixture’s flowability: Parametric and prediction study

Tao Ma, Xunhao Ding, Fengteng Liu, Baitong Xiao
4 citations
Case Studies in Construction Materials
Asphalt Pavement Performance Evaluation
1.04
article

Effects of coarse aggregate morphology on Asphalt mixture’s flowability: Parametric and prediction study

Tao Ma, Xunhao Ding, Fengteng Liu, Baitong Xiao
article en
4 citations

Abstract

Morphological characteristics of aggregates affect the flowability and workability of asphalt mixtures during pavement construction. To quantify the effects of coarse aggregate morphological characteristics on its flow performance, aggregates were artificially smoothened through abrasion to different levels of angularity and then evaluted based on Angle of repose (AOR)tests in laboratory. Moreover, morphological characteristics of aggregates with different sizes were scanned and rebuilt based on Particle Flow Code (PFC). 61 sets of virtual Angle of repose tests were further conducted in order to get statistical results and help to develop a predictive model of aggregates’ flowability. The study results indicate that within the commonly used particle size range of 2.36–13.2 mm in pavement, the larger the particle size, the greater the AOR test results. Within 500 cycles of abrasion, most morphological parameters of aggregates show a clear positive correlation with its flowability. Variables based on the aggregate shape scale (Ellipse ratio and Aspect ratio), and angular scale variables(Circularity and 3D Angularity), can well predict the flowability of aggregates. The significance of their contribution to the flowability are shown as follow: Aspect ratio > 3D Angularity > Circularity > Ellipse ratio. Thus, it is important to control the morphological characteristics of aggregates within a reasonable range in order to improve the flowability and workability of asphalt mixtures during pavement construction phase.

Case Studies in Construction MaterialsVol. 21
Southeast University (BD), Southeast University (CN)
National Natural Science Foundation of China, Shuangchuang Program of Jiangsu Province
Openalex Percentile: Top 26%
Asphalt Pavement Performance Evaluation
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.