Results 231 to 240 of about 1,225 (264)

Empirical Rutting Models of Recycled Mixtures Containing CRM

Pavement Mechanics and Performance, 2006
Recycling of Reclaimed Asphalt Pavement (RAP) is now a normal practice because it saves aggregate resources and reduces environmental pollutants. The performance properties of asphalt mixture containing RAP could be improved by adding additives such as crumb rubber modifier (CRM).
Junan Shen, Feipeng Xiao, Nirmal Das
openaire   +1 more source

Statistical Model of Pavement Rutting in Asphalt Concrete Mixes

Transportation Research Record: Journal of the Transportation Research Board, 2001
Pavement deterioration models are important inputs for the efficient management of pavement systems, the allocation of cost responsibilities to various vehicle classes for their use of the highway system, and the design of pavement structures. The development of an empirical rutting progression model with an experimental data set from WesTrack is ...
Adrián Ricardo Archilla, Samer Madanat
openaire   +1 more source

Calibration of Mechanistic-Empirical Rutting Model for In-Service Pavements

Transportation Research Record: Journal of the Transportation Research Board, 1998
Rutting is a major failure mode for flexible pavements. Pavement engineers have been trying to control and arrest the development of rutting for years. Many models are available to relate pavement rutting to design features, traffic loading, and climatic conditions. These models range from purely empirical to mechanistic models.
H. A. Ali, S. Tayabji, LA TORRE, FRANCESCA   +2 more
openaire   +2 more sources

Development and Application of a Rut Prediction Model for Flexible Pavement

Transportation Research Record: Journal of the Transportation Research Board, 2005
A four-layer neural network (NN) was constructed and applied to determine mapping associating factors in the design and testing of asphalt samples with their performance in repetitive rutting tests. A total of 1,586 samples (two samples per data point) were tested to determine rutting with the use of an asphalt pavement analyzer ...
Tarefder, Rafiqul Alam, White, Luther, Zaman, Musharraf   +2 more
openaire   +2 more sources

Anisotropic Nonlinear Elastoviscoplastic Model for Rutting of Asphalt Mixtures

Journal of Engineering Mechanics, 2014
Rutting, one of the primary distresses in asphalt pavement, is influenced by the nonlinear deformation of its constituents and their microstructural features such as the directional distribution of aggregates and cracks. This study develops a nonlinear elastoviscoplastic model to systematically account for the aggregate directional distribution and ...
Huanan Yu, Balasingam Muhunthan, Shihui Shen   +2 more
openaire   +1 more source

Kinetic model for batch cellulase production by Trichoderma reesei RUT C30

Journal of Biotechnology, 1997
A kinetic model for batch cellulase enzyme production by T. reesei from cellulose substrate is constructed from literature concepts and laboratory data. The key concepts included were four: (i) existence of primary and secondary mycelia; (ii) cellulase production by secondary mycelia only; (iii) the adsorption of cellulase (catalyst) on the particulate
S, Velkovska, M R, Marten, D F, Ollis
openaire   +2 more sources

Development of rutting forecasting models for distinct asphalt pavement structures in RIOH testing track using different approaches

Construction and Building Materials, 2023
, Jinde Cao, Bingquan Chen
exaly  

Recalibration of the Flexible Pavement Rutting Model in Utah

Airfield and Highway Pavements 2017, 2017
Biplab B. Bhattacharya, Michael I. Darter, Leslie Titus-Glover, Steven Anderson   +3 more
openaire   +1 more source

Rutting prediction models for asphalt pavements with different base types based on RIOHTrack full-scale track

Construction and Building Materials, 2021
Leilei Chen, Haisheng Ren, Zhendong Qian   +2 more
exaly  

Kalman filter updating of rutting predictive models in flexible pavements using measured field data

International Journal of Pavement Engineering, 2023
Angela Haddad, Ghasan Chehab, George Saad   +2 more
exaly