A5067423500- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- Transport Systems and Technology
- Geotechnical Engineering and Underground Structures
- Medical Image Segmentation Techniques
- Retinal Imaging and Analysis
- Geotechnical Engineering and Soil Stabilization
- Image Retrieval and Classification Techniques
- Functional Brain Connectivity Studies
- Material Properties and Failure Mechanisms
- Probabilistic and Robust Engineering Design
North Carolina State University
2019-2021
The use of index parameters to evaluate the performance asphalt mixtures has become an important process for making informed pavement material decisions. These are indicators mixture and thus widely used in paving industry. This paper presents a new rutting parameter assess resistance using stress sweep test permanent deformation shift model. proposed parameter, referred as Rutting Strain Index (RSI), is novel that it integrates testing structural simulations. To develop RSI more than 70...
This paper aims to establish the relationship between volumetric performance of asphalt mixtures and their in relation pavement fatigue cracking rutting. A good performance-volumetric (PVR) can dramatically improve working efficiency be used future performance-engineered mixture design performance-related specifications. For this study, three were first designed incorporate systematic changes conditions, then rutting tests conducted at each condition. Statistical analyses results suggest...
This paper presents a new asphalt mixture design framework for predictive performance-engineered mix (PEMD) and the theory procedures that underlie proposed method. method allows pavement engineers to determine an optimized based on predicted pavement/mixture performance all possible combinations of given set component materials (i.e. aggregate binder) in space. The PEMD process is ‘performance-volumetrics relationship’ (PVR) concept. calibration PVR from FlexPAVETM, three-dimensional finite...
ABSTRACTWith mechanistic and mechanistic-empirical modelling of pavement performance there are a considerable number uncertainties that inherent in the prediction process. Many these sources uncertainty challenging to quantify, but one is technically possible evaluate effect characterisation mechanical properties asphalt concrete. In this study, Bayesian inference-based Markov Chain Monte Carlo (MCMC) was used estimate how from simplified viscoelastic continuum damage (S-VECD) model...