Evaluation of Flexible Pavement Distress Using Nonlinear Regression Analysis

The current study aims at developing well-predicting regression equations for evaluating the fatigue and rutting strains at critical locations within the flexible pavement layers. With an objective to develop unified regression models, the practical on-field ranges for thickness and layer moduli of various pavement layers are used in the analysis. These design input combinations are fed into a multilayer elastic analysis program using an automation technique to reduce a lot of human effort and evaluation time. The output obtained from the program is used to develop equations for fatigue and rutting strains by nonlinear regression analysis. The outcomes of this study will aid the design engineers as well as researchers in multiple ways. In addition to the advantages in pavement design, the automation procedure combined with regression would also aid the researchers in simulation studies, reliability analysis, etc.

[1]  D. A. Cameron,et al.  Permanent Strain Modeling of Recycled Concrete Aggregate for Unbound Pavement Construction , 2013 .

[2]  P. Hornych,et al.  Elastoplastic Model for the Long-Term Behavior Modeling of Unbound Granular Materials in Flexible Pavements , 2006 .

[3]  Kelvin C. P. Wang,et al.  Reliability-Based Mechanistic–Empirical Pavement Design with Statistical Methods , 2012 .

[4]  Jacob Uzan.  Permanent Deformation of a Granular Base Material , 1999 .

[5]  G. L. Sivakumar Babu,et al.  Methodology for Pavement Design Reliability and Back Analysis Using Markov Chain Monte Carlo Simulation , 2013 .

[6]  Zhong Wu,et al.  Finite Element Model for Rutting Prediction of Flexible Pavement with Cementitiously Stabilized Base–Subbase , 2011 .

[7]  Louis Ge,et al.  Modeling Permanent Deformation of Unbound Granular Materials under Repeated Loads , 2010 .

[8]  Sudip Bhattacharjee.  Assessment of Reliability and Load Factor Design Approach against Fatigue Cracking in Flexible Pavements , 2013 .

[9]  David H Timm,et al.  Calibration of Flexible Pavement Performance Equations for Minnesota Road Research Project , 2003 .

[10]  Neeraj Buch,et al.  Mechanistic-Empirical Rut Prediction Model for In-Service Pavements , 2000 .

[11]  Rong Luo,et al.  Development of a New Mechanistic Empirical Rutting Model for Unbound Granular Material , 2016 .

[12]  G. L. Sivakumar Babu,et al.  System Reliability Analysis of Flexible Pavements , 2013 .

[13]  Rob Miller,et al.  Sikuli: using GUI screenshots for search and automation , 2009, UIST '09.