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

L. Dihoru, D. Muir Wood, T. Sadek, M. Lings

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)59-71
    Number of pages13
    JournalComputers and Geotechnics
    Volume32
    Issue number2
    DOIs
    Publication statusPublished - Mar 2005

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