Mechanistic-Empirical  (M-E)  pavement  design  procedures  are  composed  of  a  reliable  response model to estimate the state of stress in the pavement and distress models in order to predict the different types of pavement distresses due to the prevailing traffic and environmental conditions. One of the main objectives of this study was to develop a response model based on multilayer elastic  theory   (MLET)  with  improved  computational  performance  by   optimizing  the   time consuming parts of the MLET processes. A comprehensive comparison of the developed program with  two  widely  used  programs  demonstrated  excellent  agreement  and  improved  computational performance.  Moreover,  the  program  was  extended  to  incorporate  the  viscoelastic  behaviour  of bituminous materials through elastic-viscoelastic correspondence principle. A procedure based on collocation of linear viscoelastic (LVE) solutions at selected key time durations was also proposed that improved the computational performance for LVE analysis of stationary and moving loads. A comparison  of  the  LVE  responses  with  measurements  from  accelerated  pavement  testing  (APT) revealed a good agreement. Furthermore the developed response model was employed to evaluate permanent deformation models  for  bound  and  unbound  granular  materials  (UGMs)  using  full  scale  APTs.  The  M-E Pavement  Design  Guide  (MEPDG)  model  for  UGMs  and  two  relatively  new  models  were evaluated  to  model  the  permanent  deformation  in  UGMs.  Moreover,  for  bound  materials,  the simplified  form  of  the  MEPDG  model  for  bituminous  bound  layers  was  also  evaluated.  The measured  and  predicted  permanent  deformations  were  in  general  in  good  agreement,  with  only small discrepancies between the models. Finally, as heavy traffic loading is one of the main factors affecting the performance of flexible pavement, three types of characterizations for heavy traffic axle load spectrum for M-E analysis and design of pavement structures were evaluated. The study recommended an improved approach that enhanced the accuracy and computational performance. / <p>QC 20140512</p>

The bearing capacity of a road decreases greatly during spring thaw, when the previously frozen road begins to thaw. The extent of this decrease can be evaluated by making Falling Weight Deflectomter (FWD) measurements on the road, measuring the deflection of the road when an impact load is applied to it. The bearing capacity of the road can then be evaluated by backcalculating the layer modules with backcalculation programs, or through more simple calculations based on the deflection basin indices. Both analyses were carried out in this thesis with data from FWD measurements which were carried out on county road Lv 126 in Southern Sweden during the year 2010. The temperature and moisture content of the road were monitored during the same time. The aim with the thesis was to compare the two ways of analyses, and to find out if there is some relationship between them and the measured environmental data. The results showed that the base course layer and subbase decreased in stiffness during spring thaw about 50% while the decrease in the subgrade was 20%, compared to the backcalculated summer and autumn value. The results of the simple calculations from the deflection basin indices were well comparable to the backcalculation results. By comparing the backcalculated stiffness values to the moisture content measurements it was stated that the stiffness decreased as the moisture content increased.