A neural network for error prediction in a true triaxial apparatus with flexible boundaries

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 -