TY - JOUR
T1 - A neural network for error prediction in a true triaxial apparatus with flexible boundaries
AU - Dihoru, L.
AU - Muir Wood, D.
AU - Sadek, T.
AU - Lings, M.
PY - 2005/3
Y1 - 2005/3
N2 - The true triaxial apparatus with flexible boundaries (TTAF) is a versatile tool for characterizing the stress–strain behaviour of soils. The evaluation of the deformations suffered by soil in a TTAF must account for the effects of the sample membrane and of the pressurizing cushion, the non-uniform spatial stiffness of the frame of the apparatus, and the electronic errors. In order to overcome the difficulty associated with such a complex set of factors of influence, a neural network (NN) approach was used to predict the errors that may affect the displacements. The current performance of the prediction system is reported.
AB - The true triaxial apparatus with flexible boundaries (TTAF) is a versatile tool for characterizing the stress–strain behaviour of soils. The evaluation of the deformations suffered by soil in a TTAF must account for the effects of the sample membrane and of the pressurizing cushion, the non-uniform spatial stiffness of the frame of the apparatus, and the electronic errors. In order to overcome the difficulty associated with such a complex set of factors of influence, a neural network (NN) approach was used to predict the errors that may affect the displacements. The current performance of the prediction system is reported.
U2 - 10.1016/j.compgeo.2005.01.003
DO - 10.1016/j.compgeo.2005.01.003
M3 - Article
VL - 32
SP - 59
EP - 71
JO - Computers and Geotechnics
JF - Computers and Geotechnics
IS - 2
ER -