A spatial-statistical model to analyse historical rutting data [PDF]
Pavement rutting poses a significant challenge in flexible pavements, necessitating costly asphalt resurfacing. To address this issue comprehensively, we propose an advanced Bayesian hierarchical framework of latent Gaussian models with spatial components. Our model provides a thorough diagnostic analysis, pinpointing areas exhibiting unexpectedly high
Jourdain, Natoya O. A. S. +7 more
exaly +9 more sources
The Use of Deep Neural Networks for Developing Generic Pavement Rutting Predictive Models [PDF]
Rutting prediction models are essential elements of efficient pavement management systems. Accuracy of commonly used predictive models necessitates knowledge of the input parameters that they incorporate and local calibration of the model coefficients ...
Angela J Haddad +2 more
exaly +2 more sources
Impact of Rutting on Traffic Safety: A Synthesis of Research Findings
Quantifying the impact of rutting on traffic safety contributes to the development of objective models for evaluating pavement performance. However, the existing literature shows significant discrepancies in the impact of rutting on traffic safety.
Ali Fares +3 more
doaj +2 more sources
Predicting Rutting Development Using Machine Learning Methods Based on RIOCHTrack Data
As the main cause of asphalt pavement distress, rutting severely affects pavement safety. Establishing an accurate rutting prediction model is crucial for asphalt pavement maintenance, pavement structure design, and pavement repair.
Chunru Cheng +3 more
doaj +2 more sources
Study on the Modeling Method Suitable for Pavement Rutting [PDF]
In case of fitting gcomctric model of pavement rutting to the real data, the model of a high order function has the well advantage of fitness. However, it also has the disadvantage of varsatility. In this study, we developed the pavement rutting models with quadratic function and spline function for quantification of pavement rutting characteristics on
Tomiyama, Kazuya +2 more
openaire +2 more sources
Rutting resistance of asphalt pavement mixes by Finite Element modelling and optimisation [PDF]
Asphalt pavement rutting is a major safety concern and is one of the main distress modes of asphalt pavement. Research into asphalt pavement mixes that provide strong resistance for rutting is considered of great significance as it can help provide ...
Nguyen, Van Bac +14 more
core +1 more source
The NADPH oxidase NOX4 regulates redox and metabolic homeostasis preventing HCC progression
Loss of NOX4 in HCC tumor cells induces metabolic reprogramming in a Nrf2/MYC‐dependent manner to promote HCC progression. Abstract Background and Aims The NADPH oxidase NOX4 plays a tumor‐suppressor function in HCC. Silencing NOX4 confers higher proliferative and migratory capacity to HCC cells and increases their in vivo tumorigenic potential in ...
Irene Peñuelas‐Haro +14 more
wiley +1 more source
Kalman filter updating of rutting predictive models in flexible pavements using measured field data [PDF]
Predicting pavement rutting is associated with significant uncertainties that often lead to inefficient maintenance planning. The predictive performance of rutting models is exacerbated in local road agencies and developing countries that rely on generic
Haddad, Angela J. +2 more
core +1 more source
3D finite element modeling to predict the foamed sulfur asphalt marl soil mixes rutting behavior
This research was executed to predict and discuss the rutting behavior of marl soil treated with foamed sulfur asphalt (FSA) with the mixtures of the same soil treated with standard foamed asphalt (FA) for road bases structure.
Gamil. M.S. Abdullah
doaj +1 more source
Artificial Intelligence Prediction of Rutting and Fatigue Parameters in Modified Asphalt Binders
The complex shear modulus (G*) and phase angle (δ) are fundamental viscoelastic rheological properties used in the estimation of rutting and fatigue pavement distress in asphalt binder.
Ikenna D. Uwanuakwa +5 more
doaj +1 more source

