THERMAL SCIENCE

International Scientific Journal

ASSESSMENT RESULTS OF FLUID-STRUCTURE INTERACTION NUMERICAL SIMULATION USING FUZZY LOGIC

ABSTRACT
A fuzzy approximation concept is applied in order to predict results of coupled computational structure mechanics and computational fluid dynamics while solving a problem of steady incompressible gas flow through thermally loaded rectangular thin-walled channel. Channel wall deforms into wave - type shapes depending on thermal load and fluid inlet velocity inducing the changes of fluid flow accordingly. A set of fluid - structure interaction (FSI) numerical tests have been defined by varying the values of fluid inlet velocity, temperature of inner and outer surface of the channel wall and numerical grid density. The unsteady Navier-Stokes equations are numerically solved using an element-based finite volume method and second order backward Euler discretization scheme. The structural model is solved by finite element method including geometric and material nonlinearities. The implicit two-way iterative code coupling, partitioned solution approach, were used while solving these numerical tests. Results of numerical analysis indicate that gravity and pressure distribution inside the channel contributes to triggering the shape of deformation. In the inverse problem, the results of FSI numerical simulations formed a database of input variables for development fuzzy logic based models considering downstream pressure drop and maximum stresses as the objective functions. Developed fuzzy models predicted targeting results within a reasonable accuracy limit at lower computation cost compared to series of FSI numerical calculations. Smaller relative difference were obtained when calculating the values of pressure drop then maximal stresses indicating that transfer function influence on output values have to be additionally investigated. [Projekat Ministarstva nauke Republike Srbije, br. III42010, br.TR33050 i br. TR35035]
KEYWORDS
PAPER SUBMITTED: 2016-01-11
PAPER REVISED: 2016-04-05
PAPER ACCEPTED: 2016-04-11
PUBLISHED ONLINE: 2016-04-17
DOI REFERENCE: https://doi.org/10.2298/TSCI160111083M
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2016, VOLUME 20, ISSUE Supplement 1, PAGES [S235 - S250]
REFERENCES
  1. Frandsen, J.B., Numerical Bridge Deck Studies Using Finite Elements. Part I: Flutter, Journal of Fluids and Structures, 19 (2004), pp. 171-191, doi:10.1016/j.jfluidstructs.2003.12.005\
  2. Eloy, C., et al., Aeroelastic Instability of Cantilevered Flexible Plates in Uniform Flow, J. Fluid Mech., 611 (2008), pp. 97 - 106, DOI: 10.1017/S002211200800284X
  3. Gordnier, R.E., Visbal, M.R., Computation of the Aeroelastic Response of a Flexible Delta Wing at High Angles of Attack, Journal of Fluids and Structures, 19 (2004), pp. 785-800, doi:10.1016/j.jfluidstructs.2004.04.008
  4. Farhat, C., et al., Application of a Three-Field Nonlinear Fluid-Structure Formulation to the Prediction of the Aeroelastic Parameters of an F-16 Fighter, Computers & Fluids 32 (2003), pp. 3-29
  5. Benkherouf, T., et al., Efficiency of an Auto-Propelled Flapping Airfoil, Journal of Fluids and Structures, 27 (2011), pp. 552-566, doi:10.1016/j.jfluidstructs.2011.03.004
  6. Ducoin, A., et al., An Experimental and Numerical Study of the Hydroelastic Behaviour of an Hydrofoil in Transient Pitching Motion, Proceedings, First International Symposium on Marine Propulsors SMP'09 Trondheim, Norway, 2009
  7. Münch, C., Ausoni, P., Braun, O., Farhat, M., Avellan, F., Fluid-Structure Coupling for an Oscillating Hydrofoil, Journal of Fluids and Structures, 26 (2010), pp. 1018-1033, doi:10.1016/j.jfluidstructs.2010.07.002
  8. Esmailzadeh M., et al., Three-Dimensional Modelling of Curved Structures Containing and/or Submerged in Fluid, Finite Elements in Analysis and Design, 44, (2008), pp. 334 - 345, doi:10.1016/j.finel.2007.11.019
  9. Glück M., et al., Computation of Fluid-Structure Interaction on Lightweight Structures, Journal of Wind Engineering and Industrial Aerodynamics, 89, (2001), pp. 1351-1368
  10. Fairuz Z.M., et al., Fluid Structure Interaction of Unsteady Aerodynamics of Flapping Wing at Low Reynolds Number, Engineering Applications of Computer Fluid Mechanic, 7, (2013), 1, pp. 144-158
  11. M. Kuntz, F.R. Menter, 2004, Simulation Of Fluid-Structure Interactions In Aeronautical Applications, European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004, 24-28 July 2004, Jyväskylä, Finland, P. Neittaanmäki, T. Rossi, S. Korotov, E. Oñate, J. Périaux, and D. Knörzer (eds.),
  12. Attar, P.J., Gordnier, R.E., Aeroelastic Prediction of the Limit Cycle Oscillations of a Cropped Delta Wing, Journal of Fluids and Structures 22 (2006), pp. 45-58
  13. Fairuz. Z. M., et al., Effect of Wing Deformation on the AerodynamicPerformance of Flapping Wings: Fluid-Structure Interaction Approach, J. Aerosp. Eng., (2016), 04016006, DOI: 10.1061/(ASCE)AS.1943-5525.0000548
  14. Fairuz Z.M., Abdullah M.Z., Yusoff H., Abdullah M.K., Fluid Structure Interaction of Unsteady Aerodynamics of Flapping Wing at Low Reynolds Number, Engineering Applications of Computer Fluid Mechanic, 7, (2013), 1, pp. 144-158
  15. Kirpekara, S., Bogy, D.B., Computing the Aeroelastic Disk Vibrations in a Hard Disk Drive, Journal of Fluids and Structures, 24 (2008), pp. 75-95, doi:10.1016/j.jfluidstructs.2007.07.005
  16. Au-Yang, M.K., Galford, J.E., Fluid - Structure Interaction - A Survey With Emphasis on its Application to Nuclear Steam System Design, Nuclear Engineering and Design, 70 (1982), pp. 387-399
  17. Schumann U., Impacts and Fluid-Structure Interaction in Pressurized Water Reactor Safety Analysis, Nuclear Engineering and Design, 69 (1982), pp. 313-326
  18. Borazjani, I., Fluid-Structure Interaction, Immersed Boundary-Finite Element Method Simulations of Bio-Prosthetic Heart Valves, Comput. Methods Appl. Mech. Engrg., 257, (2013), pp. 103-116, dx.doi.org/10.1016/j.cma.2013.01.010
  19. Choulya, F., et al., Numerical and Experimental Study of Expiratory Flow in the Case Of Major Upper Airway Obstructions with Fluid-Structure Interaction, Journal of Fluids and Structures, 24, (2008), pp. 250-269, doi:10.1016/j.jfluidstructs.2007.08.004
  20. Hasnedlová J., et al., Numerical Simulation of Fluid-Structure Interaction of Compressible Flow and Elastic Structure, Computing, 95, (2013),1, pp 343-361, DOI: 10.1007/s00607-012-0240-x
  21. Dowell, E.H., Hall, K.C., Modelling of fluid-structure interaction, Annual Review of Fluid Mechanics 33, (2001), pp. 445-490
  22. Barone, M.F., Payne, J.L., Methods for Simulation-based Analysis of Fluid-Structure Interaction, Report SAND2005-6573, (2005), Sandia National Laboratories
  23. Sigrist, J.F., Garreau, S., Dynamic Analysis of Fluid-Structure Interaction Problems With Modal Methods Using Pressure-Based Fluid Finite Elements, Finite Elements in Analysis and Design, 43 (2007), pp. 287 - 300, doi:10.1016/j.finel.2006.10.002
  24. Doaré, O., et al., Flutter of an Elastic Plate in a Channel Flow: Confinement and Finite-Size Effects, J. Fluids Struct., 27, (2011), 1, pp. 76-88, doi:10.1016/j.jfluidstructs.2010.09.002
  25. Guo, C.Q., Paidoussis, M.P., Stability of Rectangular Plates With Free Side-Edges in Two-Dimensional Inviscid Channel Flow, J Appl Mech, 67, (2000), 1, pp. 171-176
  26. Culler, A. J. and McNamara, J. J., Studies on Fluid-Thermal-Structural Coupling for Aerothermoelasticity in Hypersonic Flow, AIAA Journal, 48, (2010), 8, pp. 1721-1738
  27. Shengze L., et al., Fluid-Thermal-Structure Coupled Analysis of Grid Fins for Hypersonic Flight Vehicle, Proceedings, COUPLED PROBLEMS 2015, VI International Conference on Computational Methods for Coupled Problems in Science and Engineering, San Servolo, Venice, Italy, (2015), pp. 701-712
  28. Zhao, X., et al., Coupled Flow-Thermal-Structural Analysis of Hypersonic Aerodinamically Heated Cylindrical Leading Edge, Engineering Applications of Computational Fluid Mechanics 5, (2011), 2, pp. 170-179
  29. Kortesis S. and Panagiotopoulos P. D., Neural Networks for Computing in Structural Analysis: Methods and Prospects of Applications, International Journal for Numerical Methods in Engineering, 36, (1993) 13, pp. 2305-2318, DOI:10.1002/nme.1620361310
  30. Szewczyk, Z. P. and Noor, A. K., A Hybrid Neurocomputing/Numerical Strategy for Nonlinear Structural Analysis, Compurers & Structures 58, (1996), 4, pp. 661-677, 00457949(95)00178-6
  31. Liu, S.W., et al., Detection of Cracks Using Neural Networks and Computational Mechanics, Comp. Methods Appl. Mech.Engrg., 191, (2002), pp. 2831-2845
  32. Baghalian S., et al., Closed - Form Solution for Flow Field in Curved Channels in Comparison with Experimental and Numerical Analyses and Artificial Neural Network, Engineering Applications of Computational Fluid Mechanics Vol. 6, No. 4, pp. 514-526
  33. T. Erdik, T., et al., Artificial Neural Networks for Predicting Maximum Wave Runup on Rubble Mound Structures, Expert Systems with Applications 36, (2009), pp. 6403-6408, doi:10.1016/j.eswa.2008.07.049
  34. Yari E., et al., Applying the Artificial Neural Network to Estimate the Drag Force for an Autonomous Underwater Vehicle, Open Journal of Fluid Dynamics, 4, (2014), pp. 334-346, dx.doi.org/10.4236/ojfd.2014.43025
  35. Zadeh, L. A., Fuzzy Sets, Information and Control, 8, (1965), pp. 338—353
  36. Mamdani, E.H., S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Man-Machine Studies, 7, (1975), 1, pp. 1-13
  37. Takagi, T., Sugeno M., Fuzzy Identification of Systems and Its Applications to Modelling and Control, Proceedings of the IEEE Transaction on systems, Man and Cybernetics, vol. SMC-15, no. 1, (1985), pp. 116-132
  38. Rao A.V.S., Pratihar D.K., Fuzzy Logic-Based Expert System to Predict the Results of Finite Element Analysis, Knowledge-Based Systems, 20, (2007), pp. 37-50, doi: 10.1016/j.knosys.2006.07.004
  39. Hossain A., et al., Prediction of Aerodynamic Characteristics of an Aircraft Model With and Without Winglet Using Fuzzy Logic Technique, Aerospace Science and Technology, 15, (2011), pp. 595-605, doi:10.1016/j.ast.2010.12.003
  40. Erdik, T., Fuzzy Logic Approach to Conventional Rubble Mound Structures Design, Expert Systems with Applications, 36, (2009), pp. 4162-4170, doi:10.1016/j.eswa.2008.06.012
  41. Raja, A.S., Arasu, A.V., Prediction of Cold Start Hydrocarbon Emissions of Air Cooled Two Wheeler Spark Ignition Engines by Simple Fuzzy Logic Simulation, Thermal Science, 18, (2014), 1, pp. 179-191, doi: 10.2298/TSCI120726106S
  42. Vassilopoulos, A.P., Bedi, R., Adaptive neuro-Fuzzy Inference System in Modelling Fatigue Life of Multidirectional Composite Laminate, Computational Materials Science, 43, (2008), pp. 1086-1093, doi: 10.1016/j.commatsci.2008.02.028
  43. Ćirić., I.T., et al., Air Quality Estimation by Computational Intelligence Methodologies, Thermal Science, 16, (2012), Suppl. 2, pp. S493-S504, doi: 10.2298/TSCI120503186C
  44. Saeed R.A., Galybin A.N., Popov V, 3D Fluid-Structure Modelling and Vibration Analysis for Fault Diagnosis of Francis Turbine Using Multiple ANN and Multiple ANFIS, Mechanical Systems and Signal Processing, 34, (2013), p.p. 259-276, dx.doi.org/10.1016/j.ymssp.2012.08.004
  45. Stefanovic, P. et. al., Working Conditions Analysis of One Burner Chanell for the Pulverized Coal Plasmachemical Preparation for Stabilization of Combustion Process in Unit A1Boiler, TPP TENT, OBRENOVAC, Report NIV-ITE 413, Vinca institute, Vinca-Belgrade Serbia, 2011
  46. Stefanović P., et al., Numerical simulation of Pulverized Kolubara Lignite Plasma Chemical Gasification, Proceedings, International Conference on Physics of Low Temperature Plasma PLTP-03, (2004), Navchalna Knyga, Kiev, Ukraina, pp. 3-27-31-p
  47. Jones, Robert M., Buckling of Bars, Plates and Shells, Bull Ridge Publishing, Blacksburg, Virginia, USA, 2006
  48. ANSYS Release 12.0 Documentation for ANSYS, ANSYS Inc., April 2009
  49. Hyghes, T.J.R., Numerical Implementation of Constitutive Models: Rate-Independent Deviatoric Plasticity, Theoretical foundation for Large-Scale computations for Nonlinear Material Behavior, Netherlands, (1984)
  50. Menter, F.R., Two-Equation Eddy-Viscosity Turbulence Models for Engineering Application, AIAA Journal 32 (1994), 8, pp. 1598-1605
  51. Bardina, J.E., et al., Turbulence Modeling, Validation, Testing and Development, NASA Technical Memorandum 110446, 1997
  52. Wilcox, D., Comparison of Two-Equation Turbulence Models for Boundary Layers With Pressure Gradient, AIAA Journal 31, (1993), 8, pp. 1414-1421
  53. Launder, B.E., Spalding, D.B., The Numerical Computation of Turbulent Flows, Computer Methods in Applied Mechanics and Engineering 3, (1974), 2, pp. 269-289
  54. Raw, M.J., 1996, Robustness of Coupled Algebraic Multigrid for the Navier-Stokes Equations, AIAA 96-0297, 34th Aerospace and Sciences Meeting & Exhibit, January 15-18 1996, Reno, NV.
  55. I. Demirdzic and M. Peric., Space conservation law in finite volume calculations of fluid flow. Int. J. Num. Methods in Fluids, 8, (1998), pp1037-1050
  56. Donea, J., Giuliani, S., Halleux, J., An Arbitrary Lagrangian-Eulerian Finite Element Method for Transient Dynamic Fluid-Structure Interactions, Comput. Methods Appl. Mech. Engrg. 33, (1982), pp. 689-723
  57. ANSYS CFX-Solver Theory Guide, Release 12.1, Ansys Inc., Nov. 2009
  58. The Language of Technical Computing, MATLAB, Math Works Inc., 2012

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence