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Stochastic FEM to Structural Vibration with Parametric Uncertainty

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Multiscale Modeling and Uncertainty Quantification of Materials and Structures
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Abstract

In this paper, we employ non–sampling techniques based on the generalized polynomial chaos (gPC) expansions to numerical simulation of damped vibration problems including random material and damping parameters. A general stochastic finite element method (SFEM) formulation is presented for damped linear structural vibration. Uncertainty involved in stiffness and damping matrices are represented by the gPC expansions. A hybrid SFEM and the gPC expansion is implemented to generate samples of the parameters for the FEM deterministic code from which the gPC expansions of natural frequencies and damping ratios are calculated. For that, experimental modal data are used to evaluate the coefficient of proportional uncertain damping matrix. The model is validated using experimental modal data for samples of composite plates.

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References

  • Adhikari S, Sarkar A (2009) Uncertainty in structural dynamics: experimental validation of a wishart random matrix model. J Sound Vib 323(3–5):802–825

    Article  Google Scholar 

  • Baroth J, Bressolette Ph, Chauvière C, Fogli M (2007) An efficient {SFE} method using lagrange polynomials: application to nonlinear mechanical problems with uncertain parameters. Comput Methods Appl Mech Eng 196(45–48):4419–4429

    Article  MATH  Google Scholar 

  • Der Kiureghian A, Ke J-B (1988) The stochastic finite element method in structural reliability. Probab Eng Mech 3(2):83–91

    Article  Google Scholar 

  • Ghanem R, Abras J (2003) A general purpose library for stochastic finite element computations. In: Bathe KJ (ed) Computational fluid and solid mechanics 2003, pp 2278–2280. Elsevier Science Ltd, Oxford

    Chapter  Google Scholar 

  • Huang S, Mahadevan S, Rebba R (2007) Collocation–based stochastic finite element analysis for random field problems. Probab Eng Mech 22(2):194–205

    Article  Google Scholar 

  • Keese A (2003) Numerical solution of systems with stochastic uncertainties – a general purpose framework for stochastic finite elements. PhD thesis, Fachbereich Mathematik and Informatik, TU Braunschweig, Braunschweig

    Google Scholar 

  • Matthies HG, Brenner CE, Bucher CG, Soares CG (1997) Uncertainties in probabilistic numerical analysis of structures and solids-stochastic finite elements. Struct Saf 19(3):283–336

    Article  Google Scholar 

  • Papadrakakis M, Papadopoulos V (1996) Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation. Comput Methods Appl Mech Eng 134(3–4):325–340

    Article  MATH  MathSciNet  Google Scholar 

  • Sarkar A, Ghanem R (2002) Mid–frequency structural dynamics with parameter uncertainty. Comput Methods Appl Mech Eng 191(47–48):5499–5513

    Article  MATH  Google Scholar 

  • Schuëller GI, Pradlwarter HJ (2009) Uncertain linear systems in dynamics: retrospective and recent developments by stochastic approaches. Eng Struct 31(11):2507–2517

    Article  Google Scholar 

  • Sepahvand K, Marburg S, Hardtke H-J (2010) Uncertainty quantification in stochastic systems using polynomial chaos expansion. Int J Appl Mech 2(2):305–353

    Article  Google Scholar 

  • Sepahvand K, Marburg S, Hardtke H-J (2012) Stochastic free vibration of orthotropic plates using generalized polynomial chaos expansion. J Sound Vib 331:167–179

    Article  Google Scholar 

  • Soize C (2013) Stochastic modeling of uncertainties in computational structural dynamics–recent theoretical advances. J Sound Vib 332(10):2379–2395

    Article  Google Scholar 

  • Stefanou G (2009) The stochastic finite element method: past, present and future. Comput Methods Appl Mech Eng 198:1031–1051

    Article  MATH  Google Scholar 

  • Vanmarcke E, Grigoriu M (1983) Stochastic finite element analysis of simple beams. J Eng Mech 109(5):1203–214

    Article  Google Scholar 

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Correspondence to K. Sepahvand .

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Sepahvand, K., Marburg, S. (2014). Stochastic FEM to Structural Vibration with Parametric Uncertainty. In: Papadrakakis, M., Stefanou, G. (eds) Multiscale Modeling and Uncertainty Quantification of Materials and Structures. Springer, Cham. https://doi.org/10.1007/978-3-319-06331-7_20

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  • DOI: https://doi.org/10.1007/978-3-319-06331-7_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06330-0

  • Online ISBN: 978-3-319-06331-7

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