Characterization of track irregularities with respect to vehicle response, Royal Institute of Technology, 2012. ,
Track irregularities stochastic modeling, Probabilistic Engineering Mechanics, vol.34, pp.123-130, 2013. ,
DOI : 10.1016/j.probengmech.2013.08.006
URL : https://hal.archives-ouvertes.fr/hal-00850645
Long Time Evolution of Train Dynamics with Respect to Track Irregularities, Proceedings of The 2. International Congress on Railway Technology, pp.8-11, 2014. ,
Random fields and associated statistical inverse problems for uncertainty quantifications -Applications to railway track geometries for high-speed trains dynamical responses and risk assessment, Ph. D. Diss, 2013. ,
Quantification of the influence of the track geometry variability on the train dynamics, Mechanical System and Signal processing, 2015. ,
IRIS 320 is a global concept inspection vehicle merging engineering and R&D tools for infrastructure maintenance, Proceedings of the Eight World Congress on Railway Research, 2008. ,
IRIS 320 GEOV: a new track geometry recoding system designed continuing on from the Mauzin track recording coaches, Revue Générale des Chemins de Fer, pp.7-22, 2009. ,
Numerical simulation of railway track irregularities based on stochastic expansion method of standard orthogonal basis, Applied Mechanics and Materials, vol.178, pp.1373-1378, 2012. ,
A new model for non-Gaussian random excitations, Probabilistic Engineering Mechanics, vol.8, issue.3-4, pp.281-287, 1993. ,
DOI : 10.1016/0266-8920(93)90022-N
ANALYSES OF DYNAMIC RESPONSE OF VEHICLE AND TRACK COUPLING SYSTEM WITH RANDOM IRREGULARITY OF TRACK VERTICAL PROFILE, Journal of Sound and Vibration, vol.258, issue.1, pp.147-165, 2002. ,
DOI : 10.1006/jsvi.2002.5107
Track-quality indices and track-degradation models for maintenance-of-way planning, Transportation Research Record, Journal of the Transport Research Board, vol.802, pp.2-8, 1981. ,
MODELING THE TRACK GEOMETRY VARIABILITY, Proceedings of 10th World Congress on Computational Mechanics, 2012. ,
DOI : 10.5151/meceng-wccm2012-16655
URL : https://hal.archives-ouvertes.fr/hal-00734159
Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations, SIAM Journal on Scientific Computing, vol.34, issue.6, pp.2917-2945, 2012. ,
DOI : 10.1137/11084950X
URL : https://hal.archives-ouvertes.fr/hal-00770006
Identification of high-dimension polynomial chaos expansions with random coefficients for non-Gaussian tensor-valued random fields using partial and limited experimental data, Computer Methods in Applied Mechanics and Engineering, vol.199, issue.33-36, pp.2150-2164, 2010. ,
DOI : 10.1016/j.cma.2010.03.013
URL : https://hal.archives-ouvertes.fr/hal-00684324
Karhunen???Lo??ve expansion revisited for vector-valued random fields: Scaling, errors and optimal basis., Journal of Computational Physics, vol.242, issue.1, pp.607-622, 2013. ,
DOI : 10.1016/j.jcp.2013.02.036
URL : https://hal-upec-upem.archives-ouvertes.fr/hal-00805616/file/publi-2013-JCP-242_1_607-622-perrin-soize-duhamel-funfschilling-preprint.pdf
A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations, SIAM/ASA Journal on Uncertainty Quantification, vol.2, issue.1, pp.745-762, 2014. ,
DOI : 10.1137/130905095
URL : https://hal.archives-ouvertes.fr/hal-01097139
Variable Kernel Density Estimation, The Annnals of Statistics, pp.1236-1265, 1992. ,
Applied Smoothing Techniques for Data Analysis, 1997. ,
Parameter identification for a TGV model, 2012. ,
URL : https://hal.archives-ouvertes.fr/tel-00731143
Stochastic Models of Uncertainties in Computational Mechanics, ASCE ,
DOI : 10.1061/9780784412237
URL : https://hal.archives-ouvertes.fr/hal-00749201
Stochastic finite elements: a spectral approach, 1991. ,
DOI : 10.1007/978-1-4612-3094-6
Spectral Methods for Uncertainty Quantification, 2010. ,
DOI : 10.1007/978-90-481-3520-2