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Author: Silvrano Adonias Dantas Neto

There are an increasing number of studies that use the artificial neural networks (ANN) as a prediction tool in the field of foundations with satisfactory results. In this paper, multilayer perceptrons are used to develop prediction models for the shaft and tip bearing capacities of single piles based on a supervised training using the error back propag...

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The purpose of this article is to present predictive models of dilation and shear stress of rock discontinuities by applying the neuro-fuzzy technique, which uses a) the high capacity of artificial neural networks (ANN) to understand and to model complex multivariate phenomena, and b) the concepts of fuzzy sets theory to consider the variability of the ...

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Several analytical methodologies help estimate the shear strength of rock discontinuities whose main limitations are the difficulty to obtain all necessary parameters to satisfactorily represent the boundary conditions and influence of infill materials. The objective of this study is to present a predictive model of peak shear strength for soft rock dis...

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