Non-linear dynamics of a tower orchard sprayer based on an inverted pendulum model, Biosystems Engineering, vol.103, issue.4, pp.417-426, 2009. ,
DOI : 10.1016/j.biosystemseng.2008.09.003
Mathematical modeling and dynamic analysis of a orchards spray tower, M.Sc. Dissertation, 2008. ,
Nonlinear dynamics of an orchard tower sprayer based on a double inverted pendulum model, In: Proceedings of COBEM, 2007. ,
Stochastic Models of Uncertainties in Computational Mechanics ,
DOI : 10.1061/9780784412237
URL : https://hal.archives-ouvertes.fr/hal-00749201
Stochastic modeling of uncertainties in computational structural dynamics???Recent theoretical advances, Journal of Sound and Vibration, vol.332, issue.10, pp.2379-2395, 2013. ,
DOI : 10.1016/j.jsv.2011.10.010
URL : https://hal.archives-ouvertes.fr/hal-00743699
Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings, Computational Mechanics, pp.849-878, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01194190
On the nonlinear stochastic dynamics of a continuous system with discrete attached elements, Applied Mathematical Modelling, vol.39, pp.809-819, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01438635
Quantification of the influence of the track geometry variability on the train dynamics, Mechanical Systems and Signal Processing, vol.60, issue.61, pp.945-957, 2015. ,
DOI : 10.1016/j.ymssp.2015.01.004
URL : https://hal.archives-ouvertes.fr/hal-01137530
Bayesian model selection of hyperelastic models for simple and pure shear at large deformations, Computers & Structures, vol.156, pp.101-109, 2015. ,
DOI : 10.1016/j.compstruc.2015.04.008
A comparison between robust and risk-based optimization under uncertainty, Structural and Multidisciplinary Optimization, pp.52-479, 2015. ,
DOI : 10.1007/s00158-015-1253-9
On the nonlinear dynamics of an inverted double pendulum over a vehicle suspension subject to random excitations, Proceedings of COBEM 2015, 2015. ,
Effects of a random loading emulating an irregular terrain in the nonlinear dynamics of a tower sprayer, Procedings of The 3rd International Symposium on Uncertainty Quantification and Stochastic Modeling, 2016. ,
DOI : 10.20906/CPS/USM-2016-0008
URL : https://hal.archives-ouvertes.fr/hal-01471293
Low-order classical Runge-Kutta formulas with step size control and their application to some heat transfer problems, 1969. ,
A First Course in Numerical Methods, Society for Industrial and Applied Mathematics, 2011. ,
DOI : 10.1137/9780898719987
Numerical Methods for Stochastic Computations: A Spectral Method Approach, 2010. ,
Stochastic Finite Elements: A Spectral Approach, 2003. ,
DOI : 10.1007/978-1-4612-3094-6
POMs analysis of randomly vibrating systems obtained from Karhunen???Lo??ve expansion, Journal of Sound and Vibration, vol.297, issue.3-5, pp.774-793, 2006. ,
DOI : 10.1016/j.jsv.2006.04.023
Remarks on the efficiency of POD for model reduction in non-linear dynamics of continuous elastic systems, International Journal for Numerical Methods in Engineering, vol.45, issue.3, pp.22-45, 2007. ,
DOI : 10.1002/nme.1991
URL : https://hal.archives-ouvertes.fr/hal-00686148
Assessment of spectral representation and Karhunen???Lo??ve expansion methods for the simulation of Gaussian stochastic fields, Computer Methods in Applied Mechanics and Engineering, vol.196, issue.21-24, pp.2465-2477, 2007. ,
DOI : 10.1016/j.cma.2007.01.009
Smooth Karhunen???Lo??ve decomposition to analyze randomly vibrating systems, Journal of Sound and Vibration, vol.325, issue.3, pp.491-498, 2009. ,
DOI : 10.1016/j.jsv.2009.03.044
Karhunen???Lo??ve modes obtained from displacement and velocity fields: Assessments and comparisons, Mechanical Systems and Signal Processing, vol.23, issue.4, pp.1218-1222, 2009. ,
DOI : 10.1016/j.ymssp.2008.10.005
Smooth decomposition of random fields, Journal of Sound and Vibration, vol.331, issue.15, pp.3509-3520, 2012. ,
DOI : 10.1016/j.jsv.2012.03.030
URL : https://hal.archives-ouvertes.fr/hal-00700018
The smooth decomposition as a nonlinear modal analysis tool, Mechanical Systems and Signal Processing, pp.64-65, 2015. ,
DOI : 10.1016/j.ymssp.2015.04.015
Karhunen???Lo??ve decomposition of coupled axial/bending vibrations of beams subject to impacts, Journal of Sound and Vibration, vol.279, issue.3-5, pp.1015-1036, 2005. ,
DOI : 10.1016/j.jsv.2003.11.057
Handbook of Monte Carlo Methods, 2011. ,
DOI : 10.1002/9781118014967
Uncertainty quantification through Monte Carlo method in a cloud computing setting, Computer Physics Communications, vol.185, pp.1355-1363, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01438643
A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics, Journal of Sound and Vibration, vol.288, issue.3, pp.623-652, 2005. ,
DOI : 10.1016/j.jsv.2005.07.009
URL : https://hal.archives-ouvertes.fr/hal-00686182
Discrete-Time Signal Processing, 2009. ,
Fundamentals of random signal analysis: Application to modal identification in structural dynamics, Lecture Notes, 1997. ,