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.
Dihoru, L., Muir Wood, D., Sadek, T., & Lings, M. (2005). A neural network for error prediction in a true triaxial apparatus with flexible boundaries. Computers and Geotechnics, 32(2), 59-71. https://doi.org/10.1016/j.compgeo.2005.01.003