A novel pavement mean texture depth evaluation strategy based on three-dimensional pavement data filtered by a new filtering approach

J Liang, X Gu, Y Chen, F Ni, T Zhang - Measurement, 2020 - Elsevier
Automatic pavement inspection is a reliable strategy to evaluate pavement conditions.
Generally, the skid resistance of asphalt pavement is employed to characterize the …

Development and application of a non-destructive pavement testing system based on linear structured light three-dimensional measurement

J Liang, X Gu - Construction and Building Materials, 2020 - Elsevier
Automatic detection dramatically improves the efficiency and accuracy of asphalt pavement
inspection. However, the existing detection systems cannot coordinate the balance between …

The method for accurate acquisition of pavement macro-texture and corresponding finite element model based on three-dimensional point cloud data

S Dong, S Han, Y Yin, Z Zhang, T Yao - Construction and Building Materials, 2021 - Elsevier
To establish the accurate pavement macro-texture finite element (FE) model used for tire-
pavement interaction FE analysis, a novel processing and modelling procedure was …

Three-dimensional pavement crack detection based on primary surface profile innovation optimized dual-phase computing

J Huyan, W Li, S Tighe, L Xiao, Z Sun… - Engineering Applications of …, 2020 - Elsevier
Accurate pavement crack detection has long been a challenging task, causing significant
difficulties to the pavement management sectors in the managerial decision making. The …

Profile features of emulsified asphalt mixture containing steel slag based on laser scanning

F Wang, P Cui, X Zhang, M Yunusa, Y Xiao - Materials, 2020 - mdpi.com
Micro-surfacing (MS), made of emulsified asphalt, is the most commonly used preventive
maintenance technology in asphalt pavement. However, the studies on profile features of …

Machine learning applications in identifying outliers within asphalt mixture fracture test data

M Khorshidi, M Petrik, E Dave, J Sias - Road Materials and …, 2024 - Taylor & Francis
This study investigates the application of machine learning models to analyze the post-peak
section of load-displacement curves in asphalt mixture fracture tests, aiming to enhance the …

[PDF][PDF] Neuro-fuzzy model in supply chain management for objects state assessing

MM Chupin, AS Katasev, AM Akhmetvaleev… - International Journal of …, 2019 - core.ac.uk
This article considers the task of objects state assessing in conditions of uncertainty by
considering the supply chain strategy. To solve it, the need to use fuzzy-production …

Effect of Crumb Rubber Particles on Antisliding and Noise-Reduction Performance of Asphalt Pavement

H Wu, A Shen, H Cui, X Dai, Y Li… - Journal of Materials in …, 2023 - ascelibrary.org
Traffic noise has gradually become the primary source of noise in urban areas. The risk of
health issues such as cardiovascular diseases and sleep disturbances associated with …

Three‐Dimensional Asphalt Pavement Crack Detection Based on Fruit Fly Optimisation Density Peak Clustering

W Li, R Deng, Y Zhang, Z Sun, X Hao… - mathematical …, 2019 - Wiley Online Library
Complex pavement texture and noise impede the effectiveness of existing 3D pavement
crack detection methods. To improve pavement crack detection accuracy, we propose a 3D …

Image-based coarse-aggregate angularity analysis and evaluation

J Huyan, W Li, S Tighe, Y Zhang… - Journal of Materials in Civil …, 2020 - ascelibrary.org
The angularity of coarse aggregates significantly influences the performance of asphalt
pavement. However, the research remains in the qualitative stage, and no universal …