Abstract
Seven sets of pile loading test data in Bangkok are introduced to estimate parameters used in the pile displacement analysis model based on the superposition of Mindlin's elastic solution of the first kind. Two models are developed: one considers the slippage between a pile and soil, and the other not considering it. The inverse analysis procedure applied is the extended Bayesian method (EBM) in which the observation data and the prior information are appropriately matched by ABIC. ABIC is also employed to identify the two different models. The results exhibited the capability of the EBMin overcoming the illposedness that are often encountered in this kind of geotechnical inverse analysis and in identifying the better model.