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

и другие.

Construction and Building Materials, Год журнала: 2024, Номер 458, С. 139647 - 139647

Опубликована: Дек. 21, 2024

Язык: Английский

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

Chao Xing,

Yiqiu Tan

и другие.

Construction and Building Materials, Год журнала: 2025, Номер 468, С. 140371 - 140371

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

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

Hongjie Guo,

Jianjing Zhang

и другие.

Theoretical and Applied Fracture Mechanics, Год журнала: 2025, Номер 136, С. 104848 - 104848

Опубликована: Янв. 15, 2025

Язык: Английский

Процитировано

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

Fengteng Liu,

Pei Tian

и другие.

Construction and Building Materials, Год журнала: 2025, Номер 471, С. 140706 - 140706

Опубликована: Март 11, 2025

Язык: Английский

Процитировано

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

и другие.

Construction and Building Materials, Год журнала: 2025, Номер 470, С. 140698 - 140698

Опубликована: Март 7, 2025

Язык: Английский

Процитировано

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

Ruixin Xu,

Yuanyuan Liu

и другие.

Construction and Building Materials, Год журнала: 2025, Номер 474, С. 141092 - 141092

Опубликована: Апрель 5, 2025

Язык: Английский

Процитировано

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

и другие.

Buildings, Год журнала: 2025, Номер 15(10), С. 1673 - 1673

Опубликована: Май 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.

Язык: Английский

Процитировано

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

Chenxing Gong,

Jiwang Jiang, Tiancheng Liu

и другие.

Construction and Building Materials, Год журнала: 2025, Номер 484, С. 141905 - 141905

Опубликована: Май 22, 2025

Язык: Английский

Процитировано

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

и другие.

International Journal of Pavement Engineering, Год журнала: 2025, Номер 26(1)

Опубликована: Июнь 5, 2025

Язык: Английский

Процитировано

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

и другие.

Road Materials and Pavement Design, Год журнала: 2024, Номер unknown, С. 1 - 21

Опубликована: Дек. 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.

Язык: Английский

Процитировано

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

и другие.

Construction and Building Materials, Год журнала: 2024, Номер 458, С. 139647 - 139647

Опубликована: Дек. 21, 2024

Язык: Английский

Процитировано

0