Results 131 to 140 of about 2,601 (208)

Effect of Different Rheological Models on the Distress Prediction of Composite Pavement. [PDF]

Materials (Basel), 2020
Moon KH, Cannone Falchetto A, Park HW, Wang D.   +3 more
europepmc   +1 more source

Assessment of Nondestructive Testing Technologies for Quality Control/Quality Assurance of Asphalt Mixtures, TR-653, 2015 [PDF]

, 2015
Asphalt pavements suffer various failures due to insufficient quality within their design lives. The American Association of State Highway and Transportation Officials (AASHTO) Mechanistic-Empirical Pavement Design Guide (MEPDG) has been proposed to ...

core  

Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches. [PDF]

Materials (Basel), 2022
Khan K, Jalal FE, Khan MA, Salami BA, Amin MN, Alabdullah AA, Samiullah Q, Arab AMA, Faraz MI, Iqbal M.   +9 more
europepmc   +1 more source

Cracking Resistance of Recycled Rubber Asphalt Binder Composed of Warm-Mix Additives. [PDF]

Materials (Basel), 2022
Gui W, Liang L, Wang L, Zhang F.
europepmc   +1 more source

Efecto de la variación del volumen diario medio y de la tasa de crecimiento del tráfico en el desempeño de los pavimentos flexibles

Ingeniare: Revista Chilena de Ingeniería
El diseño del pavimento, inicialmente basado en métodos empíricos, ha sido mejorado y, actualmente hay una tendencia a sustituir estos métodos por métodos empírico-mecánicos. Esta nueva metodología utiliza la información detallada del tráfico, del clima
Amanda Sati Hirooka Koshigoe, Fernando César Vargas Zanoni, Carlos Alberto Prado Silva Júnior, Heliana Barbosa Fontenele   +3 more
doaj  

Sensitivity Evaluation of MEPDG Performance Prediction

, 2013
Charles W. Schwartz, Rui Li, Sung Hwan Kim, Halil Ceylan, Kasthurirangan Gopalakrishnan   +4 more
openaire   +2 more sources

From Complex Modulus E* to Creep Compliance D(t): Experimental and Modeling Study. [PDF]

Materials (Basel), 2020
Daoudi A, Perraton D, Dony A, Carter A.
europepmc   +1 more source

Machine learning approaches for resilient modulus modeling of cement-stabilized magnetite and hematite iron ore tailings. [PDF]

Sci Rep
Safi Jahanshahi F, Ghanizadeh AR.
europepmc   +1 more source

Study on dynamic resilient modulus prediction model of subgrade fine-grained soil based on physical property parameters. [PDF]

Sci Rep
Guo F, Gu W.
europepmc   +1 more source

Curing Mechanisms of Polymeric Nano-Copolymer Subgrade. [PDF]

Materials (Basel), 2023
Shi S, Wang M, Gu L, Chen X, Zhang Y.
europepmc   +1 more source