Results 61 to 70 of about 3,929 (138)

Intelligent Distributed Optical Fiber Sensing in Transportation Infrastructures: Research Progress, Applications, and Challenges

Advanced Photonics Research, Volume 7, Issue 10, October 2026.
Distributed optical fiber sensing (DOFS) is reviewed as a transformative technology for intelligent monitoring of transportation infrastructures. Advances in sensing fibers, cable design, and data analytics are summarized alongside representative field applications.
Xin Gui, Fanhao Zeng, Yunchuan Zhang, Yiming Wang, Jiaqi Wang, Changjia Wang, Xuelei Fu, Sheng Li, Fang Liu, Lina Yue, Jinpeng Jiang, Zhengying Li   +11 more
wiley   +1 more source

Comparative analysis of empirical decomposition algorithms in predicting tire-pavement friction from asphalt surface textures: a Hilbert–Huang transform (HHT) analysis

Discover Civil Engineering
The frictional properties of pavement are contingent on its surface texture, which consists of multiple scales that each contribute differently to friction generation at the tire-surface interface.
Ahmed S. El-Ashwah, Magdy Abdelrahman
doaj   +1 more source

Optimization of Production Process Parameters and Anti‐Cracking Mechanism of Plant‐Mixed Hot Recycling Asphalt Mixture Through SCB‐DIC Testing

Applied Research, Volume 5, Issue 5, October 2026.
Mixed‐level orthogonal experiments and SCB‐DIC testing were conducted to evaluate the effects of six production parameters on the anti‐cracking performance of plant‐mixed hot recycled asphalt mixtures. Cracking evolution was characterized using FI, CIE, and ECR.
Kai Li, Yinghui Zhang, Zhenghao Liu, Zhigang Zhou   +3 more
wiley   +1 more source

Recycling of Asphalt Pavements with Asphalt Rubber

, 2008
Pavement recycling has been an important rehabilitation technique to deal with reclaimed materials from old pavements which are usually sent to landfills. The application of this technique contributes to: i) the accomplishment of the requirements defined by the European legislation for the amount of material sent to landfills; ii) the reduction in the ...
Pais, Jorge, Pereira, Paulo, Minhoto, Manuel, Baptista, António   +3 more
openaire   +2 more sources

Machine Learning‐Based Analysis and Prediction of the Influence of Meso‐Void Characteristics on Sound Absorption Coefficient of Porous Asphalt Concrete

Applied Research, Volume 5, Issue 5, October 2026.
This study integrates meso‐void characterization, statistical analysis, and machine learning to predict the sound absorption of porous asphalt concrete. Void‐ratio‐related features dominate prediction, while Extra Trees performs best among five evaluated models, supporting acoustic‐oriented PAC mixture design.
Yizhe Han, Xvfeng Wang, Shenxv Wang, Wenhua Wang, Zhan Wei, Jiaxiang Fang, Guangyong Wang   +6 more
wiley   +1 more source

Predicting Pavement Condition Index for Cold‐Region Highways Using an ENET‐XGBoost Coupled Model

Applied Research, Volume 5, Issue 5, October 2026.
An ENET–XGBoost framework combines regularized feature selection and nonlinear residual correction for cold‐region pavement prediction. Traffic loading dominates deterioration; the model achieved R2 = 0.969 in back‐calculation, while Markov and scenario analyses indicate a 25% risk of Fair‐or‐below condition in 2026 and PCI of 74.2–77.5 by 2028 ...
Zhanwen Xing, Haihui Li, Kai Chen, Shiquan Liu, Chunhua Su, Yongliang Du, Sijin Wei, Shuang Cao   +7 more
wiley   +1 more source

Multi‐Model Machine Learning Framework for Predicting Drainage Performance of Porous Asphalt Mixtures

Applied Research, Volume 5, Issue 5, October 2026.
A multi‐model machine learning framework predicts four drainage indicators of porous asphalt mixtures from 11 macro‐void and meso‐pore descriptors. The stacking ensemble achieves R2 > 0.999, identifying connected void ratio, total void ratio, and volumetric mean pore diameter as dominant design variables. ABSTRACT Porous asphalt mixtures (PAM), such as
Guangming Guo, Zhengchao Zhang, Fuyong Zhang, Guangyong Wang, Guoshan Liu, Kaidi Liu   +5 more
wiley   +1 more source

Evidence for Reductions in Fungal Richness and Beta Diversity Dispersion Associated With Impervious Surfaces in California

Ecology and Evolution, Volume 16, Issue 10, October 2026.
Using public fungal occurrence data archived on the Global Biodiversity information facility, and impervious land cover maps from the National Land Cover Database, we were able to demonstrate that impervious cover has a significant influence on the diversity on fungal assemblages. These effects include a reduction in saprotrophic fungal richness, and a
Ariel Levi Simons, Christopher Timlin‐Broussard, Avicka Willis, Jerelyn Lee   +3 more
wiley   +1 more source

Experimental, Numerical, and Analytical Model of the Meso‐Mechanical Behavior of Linear Low‐Density Polyethylene Plastic and Sand Composite

Engineering Reports, Volume 8, Issue 10, October 2026.
High‐volume sand reinforcement (up to 62%) dramatically enhances the compressive stiffness of waste LLDPE composites, increasing elastic modulus from 217 to 1683 MPa. A validated 3D RVE mesoscale model (R2 = 0.99) and modified analytical formulation accurately predict elastic behavior at high filler contents where classical models fail.
Babatunde Olawale Yusuf, Tareg Abdalla Abdalla   +1 more
wiley   +1 more source

Impact of Recycled Asphalt Pavement on Properties of Foamed Bituminous Mixtures

The Baltic Journal of Road and Bridge Engineering, 2018
In recent years, the use of foamed bitumen technology along with Reclaimed Asphalt Pavement is gaining popularity across the world. The mechanical response of foamed bitumen mixtures containing reclaimed asphalt pavement is significantly influenced by ...
Siksha Swaroopa Kar, Aravind Krishna Swamy, Devesh Tiwari, Pramod Kumar Jain   +3 more
doaj   +1 more source