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Rubens Sampaio
Researcher at Pontifical Catholic University of Rio de Janeiro
Publications - 214
Citations - 2274
Rubens Sampaio is an academic researcher from Pontifical Catholic University of Rio de Janeiro. The author has contributed to research in topics: Nonlinear system & Finite element method. The author has an hindex of 24, co-authored 201 publications receiving 2001 citations. Previous affiliations of Rubens Sampaio include The Catholic University of America & Universidad Nacional del Sur.
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Non-linear dynamics of a drill-string with uncertain model of the bit-rock interaction
TL;DR: In this paper, a stochastic computational model is proposed to model uncertainties in the bit-rock interaction model and a new strategy that uses the non-parametric probabilistic approach is developed to take into account model uncertainties.
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Drill-string horizontal dynamics with uncertainty on the frictional force
TL;DR: In this paper, a stochastic model is proposed for the frictional coefficient: a random field with exponential autocorrelation function, and the resultant random ratio is analyzed, and it turns out that it presents a bimodal characteristic.
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Coupled axial/torsional vibrations of drill-strings by means of non-linear model
TL;DR: In this paper, a geometrically nonlinear model is presented to study the coupling of axial and torsional vibrations on a drill-string, which is described as a vertical slender beam under axial rotation.
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Karhunen–Loève decomposition of coupled axial/bending vibrations of beams subject to impacts
TL;DR: In this paper, a study of the oscillations of a vertical slender beam, clamped in its upper extreme, pinned in its lower one, and constrained inside an outer cylinder, is presented.
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Uncertainty quantification through the Monte Carlo method in a cloud computing setting
TL;DR: The results show that the technique is capable of producing good results concerning statistical moments of low order, and it is shown that even a simple problem may require many realizations for convergence of histograms, which makes the cloud computing strategy very attractive.