R. Ghanem and P. D. Spanos, Stochastic Finite Elements : A Spectral Approach, NewYork, 1991.
DOI : 10.1007/978-1-4612-3094-6

C. Soize, A nonparametric model of random uncertainties for reduced matrix models in structural dynamics, Probabilistic Engineering Mechanics, vol.15, issue.3, pp.277-294, 2000.
DOI : 10.1016/S0266-8920(99)00028-4

URL : https://hal.archives-ouvertes.fr/hal-00686293

R. Mace, W. Worden, and G. Manson, Uncertainty in structural dynamics, J. Sound Vib, vol.288, issue.3, pp.431-790, 2005.

G. I. Schueller, Computational methods in stochastic mechanics and reliability analysis, Comput. Methods Appl. Mech. Engrg, vol.194, pp.12-16, 2005.

C. Soize, Stochastic Models of Uncertainties in Computational Mechanics, ASCE)
DOI : 10.1061/9780784412237

URL : https://hal.archives-ouvertes.fr/hal-00749201

C. Soize and I. E. Poloskov, Time-domain formulation in computational dynamics for linear viscoelastic media with model uncertainties and stochastic excitation, Computers & Mathematics with Applications, vol.64, issue.11, pp.3594-3612, 2012.
DOI : 10.1016/j.camwa.2012.09.010

URL : https://hal.archives-ouvertes.fr/hal-00746280

R. Ohayon and C. Soize, Advanced Computational Vibroacoustics, 2014.
DOI : 10.1017/CBO9781107785328

URL : https://hal.archives-ouvertes.fr/hal-01162161

C. Soize, 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

C. Desceliers, C. Soize, and S. Cambier, Non-parametric???parametric model for random uncertainties in non-linear structural dynamics: application to earthquake engineering, Earthquake Engineering & Structural Dynamics, vol.33, issue.3, pp.315-327, 2004.
DOI : 10.1002/eqe.352

URL : https://hal.archives-ouvertes.fr/hal-00686208

M. Arnst, D. Clouteau, H. Chebli, R. Othman, and G. Degrande, A nonparametric probabilistic model for ground-borne vibrations in buildings, Probabilistic Engineering Mechanics, vol.21, p.1834, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00018949

E. Capiez-lernout, M. Pellissitti, H. Pradlwarter, G. I. Schueller, and C. Soize, Data and model uncertainties in complex aerospace engineering systems, Journal of Sound and Vibration, vol.295, issue.3-5, pp.3-5, 2006.
DOI : 10.1016/j.jsv.2006.01.056

URL : https://hal.archives-ouvertes.fr/hal-00686152

C. Chen, D. Duhamel, and C. Soize, Probabilistic approach for model and data uncertainties and its experimental identification in structural dynamics: Case of composite sandwich panels, Journal of Sound and Vibration, vol.294, issue.1-2, pp.64-81, 2006.
DOI : 10.1016/j.jsv.2005.10.013

URL : https://hal.archives-ouvertes.fr/hal-00686153

J. Durand, C. Soize, and L. Gagliardini, Structural-acoustic modeling of automotive vehicles in presence of uncertainties and experimental identification and validation, The Journal of the Acoustical Society of America, vol.124, issue.3, pp.1513-1525, 2008.
DOI : 10.1121/1.2953316

URL : https://hal.archives-ouvertes.fr/hal-00685108

M. P. Mignolet and C. Soize, Stochastic reduced order models for uncertain geometrically nonlinear dynamical systems, Computer Methods in Applied Mechanics and Engineering, vol.197, issue.45-48, pp.45-48, 2008.
DOI : 10.1016/j.cma.2008.03.032

URL : https://hal.archives-ouvertes.fr/hal-00686140

C. Desceliers, G. Bonnet, S. Hamza, and P. Delmotte, Mixed nonparametric???parametric probabilistic model for earthquake reliability of an inelastic reinforced concrete frame structure, Bulletin of Earthquake Engineering, vol.96, issue.12, pp.921-935, 2010.
DOI : 10.1007/s10518-009-9166-x

URL : https://hal.archives-ouvertes.fr/hal-00750183

A. Batou, C. Soize, and M. Corus, Experimental identification of an uncertain computational dynamical model representing a family of structures, Computers & Structures, vol.89, issue.13-14, pp.13-14, 2011.
DOI : 10.1016/j.compstruc.2011.03.004

URL : https://hal.archives-ouvertes.fr/hal-00684292

E. Capiez-lernout, C. Soize, and M. Mignolet, Computational stochastic statics of an uncertain curved structure with geometrical nonlinearity in three-dimensional elasticity, Computational Mechanics, vol.197, issue.7, pp.87-97, 2012.
DOI : 10.1007/s00466-011-0629-y

URL : https://hal.archives-ouvertes.fr/hal-00684289

R. Murthy, X. Q. Wang, R. Perez, M. P. Mignolet, and L. A. Richter, Uncertaintybased experimental validation of nonlinear reduced order models, J. Sound Vib, pp.331-1097, 2012.

M. P. Mignolet, C. Soize, and J. Avalos, Nonparametric Stochastic Modeling of Structures with Uncertain Boundary Conditions/Coupling Between Substructures, AIAA Journal, vol.51, issue.6, pp.1296-1308, 2013.
DOI : 10.2514/1.J051555

URL : https://hal.archives-ouvertes.fr/hal-00686147

A. Batou, C. Soize, and S. Audebert, Model identification in computational stochastic dynamics using experimental modal data, Mechanical Systems and Signal Processing, pp.50-51, 2014.

E. Capiez-lernout, C. Soize, and M. P. Mignolet, Post-buckling nonlinear static and dynamical analyses of uncertain cylindrical shells and experimental validation, Computer Methods in Applied Mechanics and Engineering, vol.271, issue.1, pp.210-230, 2014.
DOI : 10.1016/j.cma.2013.12.011

URL : https://hal.archives-ouvertes.fr/hal-00922708

R. M. Christensen, Theory of Viscoelasticity, Journal of Applied Mechanics, vol.38, issue.3, 1982.
DOI : 10.1115/1.3408900

C. Soize and R. Ohayon, Structural Acoustics and Vibration, 1998.
URL : https://hal.archives-ouvertes.fr/hal-00689039

H. A. Kramers, La diffusion de la lumiere par les atomes, Atti Cong, Transactions of Volta Centenary Congress) Como, pp.545-557, 1927.

R. D. Kronig, On the Theory of Dispersion of X-Rays, Journal of the Optical Society of America, vol.12, issue.6, pp.547-557, 1926.
DOI : 10.1364/JOSA.12.000547

A. Papoulis, Signal Analysis, 1977.

R. Y. Rubinstein, Simulations and the Monte Carlo Methods, 1981.

W. Gautschi, Gauss-type Quadrature Rules for Rational Functions, Internat. Ser. Numer. Math, vol.112, pp.111-130, 1993.
DOI : 10.1007/978-3-0348-6338-4_9

W. Gautschi, The use of rational functions in numerical quadrature, Journal of Computational and Applied Mathematics, vol.133, issue.1-2, pp.111-126, 2002.
DOI : 10.1016/S0377-0427(00)00637-3

W. Gautschi, Orthogonal polynomials and special Functions, Orthogonal Polynomials, Quadrature, and Approximation: Computational Methods and Software (in Matlab), pp.1-77, 2006.

C. Soize and C. Desceliers, Computational Aspects for Constructing Realizations of Polynomial Chaos in High Dimension, SIAM Journal on Scientific Computing, vol.32, issue.5, pp.2820-2831, 2010.
DOI : 10.1137/100787830

URL : https://hal.archives-ouvertes.fr/hal-00684323

G. Perrin, C. Soize, D. Duhamel, and C. Funfschilling, 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

K. J. Bathe, Finite Element Procedures, 1996.

O. C. Zienkiewicz and R. L. Taylor, The Finite Element Method Set, 2005.

H. J. Pradlwarter and G. I. Schueller, On advanced Monte Carlo simulation procedures in stochastic structural dynamics, International Journal of Non-Linear Mechanics, vol.32, issue.4, pp.735-744, 1997.
DOI : 10.1016/S0020-7462(96)00091-1