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Stochastic Finite-Element Modeling and Dynamic Characteristics Analysis of Pipe-Conveying Fluid

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Abstract

Purpose

Randomness of fluid and structure properties inherently exists in actual pipes. The waves of parameters may play a significant role in the pipeline dynamic characteristics. However, the vibration analysis of pipe-conveying fluid is usually done by considering the deterministic parameters. To overcome the limitation, a stochastic dynamic model is proposed for the dynamic characteristics analysis of pipe-conveying fluid.

Methods

Considering the uncertain fluid and structure properties described as one-dimensional stochastic field function, a stochastic dynamic pipeline model based on the stochastic finite element is presented for three-dimensional dynamic characteristics analysis in this paper. A stochastic analytical formula is deduced to obtain the statistical results of the structural dynamic characteristics and responses of pipeline with random properties.

Results

The statistics obtained from the presented model are compared with the prior experimental data and Monte Carlo simulation so as to validate the presented model and analysis method, and good agreement is obtained. Effects of structure and fluid randomness are studied in linear and nonlinear pipeline systems, respectively.

Conclusion

It is found that the effects of random properties on pipeline eigenvalue and dynamic response are significant, especially the influences of the random elastic modulus, density and flow velocity.

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References

  1. Tijsseling AS (1996) Fluid-structure interaction in liquid-filled pipe systems: a review. J Fluids Struct 10:109–146

    Article  Google Scholar 

  2. Ritto TG, Soize C, Rochinha FA, Sampaio R (2014) Dynamic stability of a pipe conveying fluid with an uncertain computational model. J Fluids Struct 49:412–426

    Article  Google Scholar 

  3. Ganesan R, Ramu SA (1995) Vibration and stability of fluid conveying pipes with stochastic parameters. Struct Eng Mech 3:313–324

    Article  Google Scholar 

  4. Gan CB, Guo SQ, Lei H, Yang SX (2014) Random uncertainty modeling and vibration analysis of a straight pipe conveying fluid. Nonlinear Dyn 77:503–519

    Article  Google Scholar 

  5. Ariaratnam S, Namachchivaya NS (1986) Dynamic stability of pipes conveying fluid with stochastic flow velocity. Stud Appl Mech 14:1–17

    Article  MathSciNet  MATH  Google Scholar 

  6. Zienkiewicz OC, Taylor RL (1991) The finite element method. McGraw-Hill, London, Fourth Edition

    Google Scholar 

  7. Olson LG, Jamison D (1997) Application of a general purpose finite element method to elastic pipes conveying fluid. J Fluids Struct 11:207–222

    Article  Google Scholar 

  8. Hansson PA, Sandberg G (2001) Dynamic finite element analysis of fluid-filled pipes. Comput Methods Appl Mech Eng 190:3111–3120

    Article  MATH  Google Scholar 

  9. Dong ML, Choi MJ, Oh TY (1996) Transfer matrix modelling for the 3-dimensional vibration analysis of piping system containing fluid flow. KSME J 190:180–189

    Google Scholar 

  10. Singh M (1985) Turbine blade dynamics-a probabilistic approach. The 10th Biennial Conference on Mechanical Vibration and noise. Ohio, pp 41–48

  11. Hosseini SAA, Khadem SE (2007) Vibration and reliability of a rotating beam with random properties under random excitation. Int J Mech Sci 49:1377–1388

    Article  Google Scholar 

  12. Elishakoff I, Ren YJ, Shinozuka M (1997) New formulation of fem for deterministic and stochastic beams through generalization of fuchs’ approach. Comput Methods Appl Mech Eng 144:235–243

    Article  MATH  Google Scholar 

  13. Papadopoulos V, Papadrakakis M, Deodatis G (2006) Analysis of mean and mean square response of general linear stochastic finite element systems. Comput Methods Appl Mech Eng 195:5454–5471

    Article  MATH  Google Scholar 

  14. Ramu SA, Ganesan R (1993) A galerkin finite element technique for stochastic field problems. Comput Methods Appl Mech Eng 105:315–331

    Article  MATH  Google Scholar 

  15. Ishida R (2012) Stochastic finite element analysis of beam with statistical uncertainties. AIAA J 39:2192–2197

    Article  Google Scholar 

  16. Zhang QL, Peil U (1997) Random finite element analysis for stochastical responses of structures. Comput Struct 62:611–616

    Article  MATH  Google Scholar 

  17. Zhou ST, Wu X, Li HG, Sun YY (2017) Critical speed analysis of flexible rotor system with stochastic uncertain parameters. J Vib Eng Technol 5:319–328

    Google Scholar 

  18. Nouy A, Clément A (2010) Extended stochastic finite element method for the numerical simulation of heterogeneous materials with random material interfaces. Int J Numer Methods Eng 83:1312–1344

    Article  MathSciNet  MATH  Google Scholar 

  19. Kamiński M (2010) Potential problems with random parameters by the generalized perturbation-based stochastic finite element method. Comput Struct 88:437–445

    Article  Google Scholar 

  20. Mohanty SC, Dash RR, Rout T (2014) Parametric instability of functionally graded timoshenko beam in high temperature environment. J Vib Eng Technol 2:205–228

    Google Scholar 

  21. Contreras H (1980) The stochastic finite-element method. Comput Struct 12:341–348

    Article  MathSciNet  MATH  Google Scholar 

  22. Cassidy MJ, Uzielli M, Tian Y (2013) Probabilistic combined loading failure envelopes of a strip footing on spatially variable soil. Comput Geotech 12:191–205

    Article  Google Scholar 

  23. Liu WK, Ted B, Mani A (2010) Random field finite elements. Int J Numer Methods Eng 23:1831–1845

    Article  MathSciNet  MATH  Google Scholar 

  24. Kicinski J (2014) New method of analysis of nonlinear stochastic and random vibrations. J Vib Eng Technol 2:407–414

    Google Scholar 

  25. Zhang H, Bai C, Mao Y (2015) Stochastic finite element modeling and response analysis of rotor systems with random properties under random loads. J Mech Sci Technol 29:3083–3090

    Article  Google Scholar 

  26. Alizadeh AA, Mirdamadi HR, Pishevar A (2016) Reliability analysis of pipe conveying fluid with stochastic structural and fluid parameters. Eng Struct 122:24–32

    Article  Google Scholar 

  27. Zhang YL, Gorman DG, Reese JM (1999) Analysis of the vibration of pipes conveying fluid. In: ARCHIVE Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 1989–1996 (vols 203–210) 213:849–859

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Acknowledgements

The authors would like to acknowledge the support of the Fundamental Research Funds for the Central Universities (xjj2018220).

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Correspondence to Changqing Bai.

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Gu, Z., Bai, C. & Zhang, H. Stochastic Finite-Element Modeling and Dynamic Characteristics Analysis of Pipe-Conveying Fluid. J. Vib. Eng. Technol. 7, 251–259 (2019). https://doi.org/10.1007/s42417-019-00118-z

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  • DOI: https://doi.org/10.1007/s42417-019-00118-z

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