Evaluation of affinity between aggregate skeleton topology and rutting performance of asphalt mixture based on network theory DOI
Guoqiang Liu, Tao Huang, Zhijun Liu

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 458, P. 139647 - 139647

Published: Dec. 21, 2024

Language: Английский

Investigation of three-dimensional aggregate contact evolution using an enhanced image segmentation algorithm DOI
Zundong Liang,

Chao Xing,

Yiqiu Tan

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 468, P. 140371 - 140371

Published: Feb. 17, 2025

Language: Английский

Citations

1
Influence of gradation composition on crack evolution of stone mastic asphalt based on digital image processing DOI
Hehao Liang,

Hongjie Guo,

Jianjing Zhang

et al.

Theoretical and Applied Fracture Mechanics, Journal Year: 2025, Volume and Issue: 136, P. 104848 - 104848

Published: Jan. 15, 2025

Language: Английский

Citations

1
Macro and mesoscopic analysis of aggregate characteristics impact for asphalt mixtures’ mechanical response and pavement performance DOI
Peng Peng,

Fengteng Liu,

Pei Tian

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 471, P. 140706 - 140706

Published: March 11, 2025

Language: Английский

Citations

1
Data-driven modeling of the quantitative structure-activity relationship between aggregate contact parameters and dynamic modulus in asphalt mixtures DOI
Lin Kong, Xiuquan Lin, Pengfei Wu

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 470, P. 140698 - 140698

Published: March 7, 2025

Language: Английский

Citations

0
Effect of coarse aggregate morphological characteristics on resilient behavior of unbound aggregate materials DOI
Tongtong Wan,

Ruixin Xu,

Yuanyuan Liu

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 474, P. 141092 - 141092

Published: April 5, 2025

Language: Английский

Citations

0
Design and Construction Control of Warm Mix Epoxy Asphalt Mixture with Low Epoxy Content for Service Area Pavements DOI Creative Commons
Bo Chen, Kai Chen, Xuetang Xiong

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(10), P. 1673 - 1673

Published: May 15, 2025

Highway service area pavements are exposed to severe conditions such as heavy traffic, oil infiltration, and temperature fluctuations, which lead issues like rutting cracking in conventional asphalt mixtures. Although warm mix epoxy mixtures have high strength corrosion resistance, their content stringent construction requirements limit engineering applications. To address these challenges, a design method for with low (≤20%) was proposed. The mineral aggregate gradation optimized using the CAVF volumetric method, impact of different asphalt-aggregate ratios analyzed through various performance tests, including Marshall stability, high-temperature low-temperature bending, resistance tests. available time determined viscosity process parameters were based on infrared thermography real-time compaction monitoring. results show that 5.4% ratio yields best overall performance, significantly better dynamic tensile strain, compared SBS-modified recommended parameters, control process, ensure optimal durability. proposed methods provide essential technical support effective application pavements.

Language: Английский

Citations

0
Compaction optimization of surfactant-tailored basalt-fiber WMA by improved lubrication and micro-structure formation DOI

Chenxing Gong,

Jiwang Jiang, Tiancheng Liu

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 484, P. 141905 - 141905

Published: May 22, 2025

Language: Английский

Citations

0
Quantitative mapping of internal structural parameters to mechanical properties of asphalt concrete using principal component analysis DOI
Lin Kong,

H. R. Yang,

Jiarui Xu

et al.

International Journal of Pavement Engineering, Journal Year: 2025, Volume and Issue: 26(1)

Published: June 5, 2025

Language: Английский

Citations

0
Asphalt mixture image segmentation by RAN-UNet based on attention mechanism and multi-scale feature fusion DOI
Cheng Zhong, Guoping Qian, Xiangbing Gong

et al.

Road Materials and Pavement Design, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: Dec. 16, 2024

Asphalt mixtures exhibit dimensional complexity and morphological diversity, with blurred component boundaries hindering accurate mesostructure restoration. A convolutional neural network model RAN-UNet based on attention mechanisms multi-scale feature fusion was proposed in this paper. The threshold segmentation method, U-Net its improved models were compared to process CT images of asphalt mixtures, the performance accuracy evaluated for aggregates voids within various gradations. applicability methods different gradation components mixture analyzed. results showed that has a better predictive ability robustness than commonly used models. It can predict morphology target objects more accurately restore angularity greater extent. This study provide an efficient highly method field image segmentation.

Language: Английский

Citations

2
Evaluation of affinity between aggregate skeleton topology and rutting performance of asphalt mixture based on network theory DOI
Guoqiang Liu, Tao Huang, Zhijun Liu

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 458, P. 139647 - 139647

Published: Dec. 21, 2024

Language: Английский

Citations

0