Prediction model for low-temperature performance of AC-13 cold patch asphalt mixture

Abstract A set of AC-13 cold patch asphalt mixtures (No. 1-9) was designed using the orthogonal design method. The performance parameters such as flexural failure strain εB and flexural strength R B obtained from the experiment under low-temperature were linearly fitted with the fractal dimension and a correlation model between the low-temperature performance evaluation in the x. The fractal dimension of the AC-13 cold mix mixture was established.

Authors

Institutions

Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3021/1/012098
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction model for low-temperature performance of AC-13 cold patch asphalt mixture

Qingbin Yu, Zhaohui Sun, Hongzhou Dong, Chenghao Li
1 links
Journal of Physics Conference Series
Asphalt Pavement Performance Evaluation
article

Prediction model for low-temperature performance of AC-13 cold patch asphalt mixture

Qingbin Yu, Zhaohui Sun, Hongzhou Dong, Chenghao Li
article en

Abstract

Abstract A set of AC-13 cold patch asphalt mixtures (No. 1-9) was designed using the orthogonal design method. The performance parameters such as flexural failure strain εB and flexural strength R B obtained from the experiment under low-temperature were linearly fitted with the fractal dimension and a correlation model between the low-temperature performance evaluation in the x. The fractal dimension of the AC-13 cold mix mixture was established.

Journal of Physics Conference SeriesVol. 3021(1)
China Railway Group (China) (CN), Shenyang Jianzhu University (CN)
Openalex Percentile: Top 87%
Asphalt Pavement Performance Evaluation
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.