Probabilistic model identification of uncertainties for the bit-rock interaction model (local nonlinearity) of a drill-string system

This paper deals with a procedure to perform the identification of the probabilistic model of uncertainties for the bit-rock interaction model of a drill-string system. The bit-rock interaction model is represented by a nonlinear constitutive equation, whose uncertainties are modeled using the nonparametric probabilistic approach. The identification of the parameter of this probabilistic model is carried out using the Maximum Likelihood method together with a statistical reduction in the frequency domain using the Principal Component Analysis. This is the first time that a procedure is proposed to identify the probabilistic model, in the context of drill-string dynamics.

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Additional Info

Field Value
Source ECCOMAS Conference on Computational Mechanics, Solids, Structures and Coupled Problems in Engineering (ECCM-2010)
Author Ritto, T.G., Soize, Christian, Sampaio, R.
Maintainer CCSD
Last Updated May 17, 2026, 19:10 (UTC)
Created May 17, 2026, 19:10 (UTC)
Identifier hal-00699791
Language en
contributor Laboratoire de Modélisation et Simulation Multi Echelle (MSME) ; Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
coverage Paris, France
creator Ritto, T.G.
date 2010-06-16T00:00:00
harvest_object_id 9fa07829-b9f4-40a5-8ce0-bfb6a84e5dca
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-12-27T00:00:00
set_spec type:COMM