Results 151 to 160 of about 2,856 (185)

Research on Anti-Slip and Wear Resistance of Concrete Pavement After Optimization of Stone-Planting Process. [PDF]

Materials (Basel)
Yuan J, Feng Z, Cui P.
europepmc   +1 more source

Research on Mixing Uniformity Evaluation and Molding Method for Crumb Rubber Asphalt Mixtures. [PDF]

Materials (Basel)
Wang W, Lu Y, Kong L, Yan W, Li Y, Zheng M, Lu C, Qu G.   +7 more
europepmc   +1 more source

Research on the Utilization of Carbonated Red Mud in Sustainable Construction Materials (Paving Stones). [PDF]

Materials (Basel)
Voinea A, Voicu G, Savaniu M, Lazarescu A, Tudor P.   +4 more
europepmc   +1 more source

Utilizing spatial artificial intelligence to develop pavement performance indices: a case study. [PDF]

Sci Rep
Milad A, Ali AA, Al-Sulaimi ZS, Al-Kindi KM.   +3 more
europepmc   +1 more source

Exploring the Effectiveness of Road Maintenance Interventions on IRI Value Using Crowdsourced Connected Vehicle Data. [PDF]

Sensors (Basel)
Ceriani R, Vignali V, Chiola D, Pazzini M, Pettinari M, Lantieri C.   +5 more
europepmc   +1 more source

Micro-Energy Harvesting and Self-Powered Sensing for Intelligent Road: A Comprehensive Review. [PDF]

Research (Wash D C)
Zheng G, Xing C, Zhang L, Li H, Cheng T, Tan Y.   +5 more
europepmc   +1 more source

Predicting the Mechanical Properties of Super Large Aggregate Asphalt Mixture from Volumetric Parameters Using Back Propagation Neural Networks. [PDF]

Materials (Basel)
Ji X, Yang J, Yuan T, Ma J, Liu J, Zhang X, Wang B, Pu C, Zhu S.   +8 more
europepmc   +1 more source

Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties. [PDF]

Sci Rep
Ziar A.
europepmc   +1 more source

Performance analysis and prediction of asphalt pavement containing municipal solid waste incineration bottom ash aggregate based on MEPDG. [PDF]

Sci Rep
Sun Y, Ji L, Liao J, Zhang F, Gao Y, Huang C.   +5 more
europepmc   +1 more source

A multi-index evaluation system for tuff-asphalt mixtures exposed to long-term water damage based on the fractional grey prediction model. [PDF]

PLoS One
Cai Y, Zhao J, Li C, Shi J, Zhang B.
europepmc   +1 more source