A frictionless contact problem for two elastic layers supported by a Winkler foundation

2003 ◽  
Vol 15 (3) ◽  
pp. 331-344 ◽  
Author(s):  
Ahmet Birinci ◽  
Ragip Erdol
1997 ◽  
Vol 1570 (1) ◽  
pp. 143-150 ◽  
Author(s):  
Lev Khazanovich ◽  
Jeffery Roesler

A neural-network-based backcalculation procedure is developed for multilayer composite pavement systems. The constructed layers are modeled as compressible elastic layers, whereas the subgrade is modeled as a Winkler foundation. The neural networks are trained to find moduli of elasticity of the constructed layers and a coefficient of subgrade reaction to accurately match a measured deflection profile. The method was verified by theoretically generated deflection profiles and falling weight deflectometer data measurements conducted at Edmonton Municipal Airport, Canada. For the theoretical deflection basins, the results of backcalculation were compared with actual elastic parameters, and excellent agreement was observed. The results of backcalculation using field test data were compared with the results obtained using WESDEF. Similar trends were observed for elastic parameters of all the pavement layers. The backcalculation procedure is implemented in a computer program called DIPLOBACK.


1997 ◽  
Vol 35 (12-13) ◽  
pp. 1245-1260
Author(s):  
G. Bayada ◽  
M. Chambat ◽  
A. Lakhal ◽  
L. Rochet

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