Adaptation of NCHRP Project 1-41 Reflection Cracking Models for Semirigid Pavement Design in AASHTOWare Pavement ME Design

2016 ◽  
Vol 2590 (1) ◽  
pp. 122-131 ◽  
Author(s):  
Leslie Titus-Glover ◽  
Biplab B. Bhattacharya ◽  
Deepak Raghunathan ◽  
Jagannath Mallela ◽  
Robert L. Lytton
Keyword(s):  
Pavement Design ◽  
Reflection Cracking ◽  
Pavement Me Design

Economical Pavement Design by Stabilizing Effect of Fly Ash and Lime

2012 ◽  
Vol 2 (3) ◽  
pp. 121-124
Author(s):  
Prof. N. R. Patil Prof. N. R. Patil ◽  
◽  
Prof. D. R. Kulkarni Prof. D. R. Kulkarni ◽  
Prof. S. D. Talegaonkar Prof. S. D. Talegaonkar
Keyword(s):  
Fly Ash ◽  
Pavement Design ◽  
Stabilizing Effect

Local Calibration of Pavement Mechanistic-Empirical Faulting Reliability using Pavement Management Data

2021 ◽  
pp. 036119812110013
Author(s):  
Lucio Salles de Salles ◽  
Lev Khazanovich
Keyword(s):  
Model Calibration ◽  
Prediction Models ◽  
Plain Concrete ◽  
Performance Model ◽  
Pavement Management ◽  
Pavement Design ◽  
Reliability Model ◽  
Transverse Joint ◽  
Design Characteristics ◽  
And Performance

The Pavement ME transverse joint faulting model incorporates mechanistic theories that predict development of joint faulting in jointed plain concrete pavements (JPCP). The model is calibrated using the Long-Term Pavement Performance database. However, the Mechanistic-Empirical Pavement Design Guide (MEPDG) encourages transportation agencies, such as state departments of transportation, to perform local calibrations of the faulting model included in Pavement ME. Model calibration is a complicated and effort-intensive process that requires high-quality pavement design and performance data. Pavement management data—which is collected regularly and in large amounts—may present higher variability than is desired for faulting performance model calibration. The MEPDG performance prediction models predict pavement distresses with 50% reliability. JPCP are usually designed for high levels of faulting reliability to reduce likelihood of excessive faulting. For design, improving the faulting reliability model is as important as improving the faulting prediction model. This paper proposes a calibration of the Pavement ME reliability model using pavement management system (PMS) data. It illustrates the proposed approach using PMS data from Pennsylvania Department of Transportation. Results show an increase in accuracy for faulting predictions using the new reliability model with various design characteristics. Moreover, the new reliability model allows design of JPCP considering higher levels of traffic because of the less conservative predictions.

Sign in / Sign up

Export Citation Format

Share Document