Journal ArticleDOI
Rutting Prediction Model for Semirigid Base Asphalt Pavement Based on Hamburg Wheel Tracking Test
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TLDR
In this article, the rutting prediction model embedded in the Chinese specification was based on the test results of labo-test results of the semirigid base asphalt pavement (SBAP).Abstract:
Rutting is the main distress of the semirigid base asphalt pavement (SBAP). The rutting prediction model embedded in the Chinese specification was based on the rutting test results of labo...read more
Citations
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Rutting prediction models for asphalt pavements with different base types based on RIOHTrack full-scale track
TL;DR: Results show that the proposed M−E model is suitable for semi-rigid or rigid base asphalt pavement (SBAP or RBAP), while the exponential-empirical (E-E) model is appropriate for flexible basephalt pavement (FBAP).
Journal ArticleDOI
Evaluation of rutting resistance and geotechnical properties of cement stabilized recycled glass, brick and concrete triple blends
TL;DR: In this article , the performance of cement stabilized recycled glass (RG), crushed brick (CB), and recycled concrete aggregate (RCA) in triple blends while also maximizing the RG percentages in base and subbase pavement applications was evaluated.
Journal ArticleDOI
Optimizing asphalt mix design through predicting the rut depth of asphalt pavement using machine learning
TL;DR: In this article , an asphalt mix design procedure based on Support Vector Regression (SVR), Random Forest, Artificial neural networks (ANN), Gradient boosting, and multiple linear regression were trained to predict rut depth.
Journal ArticleDOI
Undrained Cyclic Loading Response of Subgrade Soil Subjected to Varying Moisture Content and Stress Level
TL;DR: In this article , the deformation behavior of two different types of cohesive subgrade soils at different compaction states has been addressed that considered the effect of influencing factors, such as water content, deviatoric stress, and confining pressure (σ3).
Journal ArticleDOI
Correlation Analysis of Linear Viscoelastic (LVE) Properties, Damage Resistance and Microstructure of Unmodified Asphalt Binders with the Same Penetration Grade
TL;DR: In this paper , the linear viscoelastic (LVE) properties, and high and intermediate-temperature and microscale characteristics of seven unmodified asphalt binders from different sources and countries with the same penetration level of 70.
References
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Journal ArticleDOI
Micromechanical Modeling of the Viscoelastic Behavior of Asphalt Mixtures Using the Discrete-Element Method
TL;DR: In this article, the authors presented a methodology for analyzing the viscoelastic response of asphalt mixtures using the discrete element method (DEM) to estimate the parameters of the contact models that define the interaction among the mix constituents.
Journal ArticleDOI
Integrating three-dimensional road design and pavement structure analysis based on BIM
TL;DR: The aim of this research is to develop a framework for the integration of BIM and structure verification to improve the application of B IM in road engineering and thus reduce the mistake and repetition in pavement design.
Journal ArticleDOI
Hot-Mix Asphalt Permanent Deformation Evaluated by Hamburg Wheel Tracking, Dynamic Modulus, and Repeated Load Tests
Lubinda F. Walubita,Jun Zhang,Gautam Das,Xiaodi Hu,Charles Mushota,Allex E. Alvarez,Tom Scullion +6 more
TL;DR: In this paper, the authors compared three laboratory rutting tests of hot-mix asphalt (HMA) mixes and compared their predictive potential to actual field performance using a two-phase approach: laboratory testing and field performance monitoring of selected mixes under both conventional traffic loading and accelerated pavement testing.
Journal ArticleDOI
State-of-the-Art: Prediction of Resilient Modulus of Unsaturated Subgrade Soils
Zhong Han,Sai K. Vanapalli +1 more
TL;DR: In this article, the authors summarized the state-of-the-art equations that have been proposed over the past four decades to predict the variation of the resilient modulus with respect to soil suction for pavement base-course materials and subgrade soils.
Journal ArticleDOI
Rutting depth prediction of hot mix asphalts modified with forta fiber using artificial neural networks and genetic programming technique
TL;DR: In this article, a comparison is made between the Burgers model and genetic programming (GP) model in estimating the rutting depth of asphalt mix, which can be used to provide an appropriate approach to enhance the performance of asphalt pavements under dynamic loads.
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