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This paper aims to explore the potential use of artificial neural networks (ANNs) to predict the compression index (CC) of soft soils from the Brazilian coast. Results from 225 standard consolidation (oedometer) tests and the corresponding soil index properties (i.e., initial void ratio, natural water content and Atterberg limits) of a wide variety of fine-grain...
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Soil-cement bottom reinforcement is commonly used in braced excavations in soft soils, so that ground displacements can be reduced and excavation safety against bottom failure increase. However, there is a lack of studies in the literature regarding such reinforced excavations in which the stability against bottom heave is analysed through mechanical-hydraulic c...
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A detailed characterization of the shear wave velocity profile is an essential tool in the resolution of a variety of seismological and geotechnical engineering problems. The main objective of this study is to present equations capable of providing reliable shear wave velocity profile estimations based on CPTu parameters. The results of a series of pion...

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The main purpose of this study is to examine the influence of drying-wetting cycles on the swelling of disturbed expansive soil at the micro-scale. Swelling curve – the relationship between swelling displacement and water-absorbing time – is measured based on specimens that experienced 0-4 drying-wetting cycles. Ass...

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