TY  - BOOK
AU  - Momen Ragab Mousa Mohamed 
AU  - Ahmed Atef Gadallah , 
AU  - Mostafa Amin Abohashema , 
TI  - Impact of different performance prediction models on  mechanistic-empirical flexible pavement design / 
PY  - 2015///
CY  - Cairo : 
PB  - Momen Ragab Mousa Mohamed  , 
KW  - M-E
KW  - Pavement Prediction Models
KW  - Transfer Functions
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering; Issued also as CD
N2  - Over the last several years, there has been a shift of the flexible pavement design from the  Empirical to Mechanistic-Empirical (M-E) procedure. Several prediction models have been  developed for the M-E procedure to analyze fatigue and rutting failures. Each model has its  own parameters, limitations, and magnitude of failure damage. This research presents an  assessment of the performance of commonly used fatigue and rutting models under different  conditions of traffic loading and climate for new and rehabilitated pavement structures. The  study was performed to calculate Ac thickness required for two existing pavement cross  sections located on major road network in Egypt under wide range of ESALs and two different  climatic conditions. Six fatigue models and four rutting models were considered in this study  together with six fatigue/rutting failure criteria. A total of 880 computer runs were performed  for different combinations of fatigue/rutting models, failure criteria, traffic conditions, and  climate using OLFLEX software. This software was developed in a previous study at Cairo  University based on Egyptian environmental conditions. For each run, the required AC overlay  thickness and fatigue/rutting damage ratios were calculated. The analysis of results indicated  that the design is mostly controlled by fatigue failure in old asphalt layer. The analysis also  indicated that the Asphalt Institute (AI) and Transport and Road Research Laboratory (TRRL)  models are the most appropriate ones to be used in the M-E flexible pavement design.
ER  -