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Evolutionary identification of microstructure parameters in the thermoelastic porous material

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The work is devoted to the identification of microstructure parameters of a porous body under thermal and mechanical loads. The goal of the identification is to determine the parameters of the microstructure on the basis of measurements of displacements and temperatures at the macro level. A two-scale 3D coupled thermomechanical model of porous aluminum is considered. The representative volume element (RVE) concept modeled with periodical boundary conditions is assumed. Boundary-value problems for RVEs (micro-scale) are solved by means of the finite element method (FEM). An evolutionary algorithm (EA) is used for the identification as the optimization technique.
Rocznik
Strony
373--384
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
  • Silesian University of Technology, Department of Computational Mechanics and Engineering, Gliwice, Poland
  • Silesian University of Technology, Department of Computational Mechanics and Engineering, Gliwice, Poland
Bibliografia
  • 1. Auriault J., Boutin C., Geindreau C., 2009, Homogenization of Coupled Phenomena in Heterogenous Media, ISTE Ltd. and John Wiley & Sons, Inc., London.
  • 2. Beer G., 1983, Finite element, boundary element and coupled analysis of unbounded problems in elastostastics, International Journal for Numerical Methods in Engineering, 19, 567-580.
  • 3. Burczyński T., Beluch W., Długosz A., Skrobol A., Orantek P., 2006, Intelligent computing in inverse problems, Computer Assisted Mechanics and Engineering Sciences, 13, 1, 161-206.
  • 4. Buyrachenko V., 2007,Micromechanics of Heterogeneous Materials, Springer Science + Business Media.
  • 5. Carter J., Booker J., 1989, Finite Element Analysis of Coupled Thermoelasticity, Computer and Structures, 31, 1, 73-80.
  • 6. Długosz A., 2014, Optimization in multiscale thermoelastic problems, Computer Methods in Materials Science, 14, 1, 86-93.
  • 7. Długosz A., Burczyński T., 2013, Identification in multiscale thermoelastic problems, Computer Assisted Mechanics and Engineering Sciences, 20, 4, 325-336.
  • 8. Długosz A., Schlieter T., 2013, Multiobjective optimization in two-scale thermoelastic problems for porous solids, Engineering Transactions, 60, 4, 449-456.
  • 9. El Moumen, A., Kanit T., Imad A., and El Minor H., 2015, Computational thermal conductivity in porous materials using homogenization techniques: numerical and statistical approaches, Computational Materials Science, 97, 148-158.
  • 10. Fish J., 2006, Bridging the scales in nano engineering and science, Journal of Nanoparticle Research, 8, 577-594.
  • 11. Fish J., 2008, Bridging the Scales in Science and Engineering, Oxford University Press.
  • 12. Kouznetsova V., Geers M., Brekelmans W., 2004, Multi-scale second-order computational homogenization of multi-phase materials: a nested finite element solution strategy, Computer Methods in Applied Mechanics and Engineering, 193, 5525-5550.
  • 13. Michalewicz Z., 1992, Genetic Algorithms + Data Structures = Evolutionary Programs, Springer-Verlag, Berlin.
  • 14. Michalewicz Z., Fogel D.B., 2004, How to Solve It: Modern Heuristics, 2nd edition, Springer-Verlag.
  • 15. MSC.MARC, 2017, Theory and user information, vol. A-D, MSC Software Corporation.
  • 16. Nowacki W., 1972, Thermoelasticity, Ossolineum, Wrocław.
  • 17. Ogierman W., Kokot G., 2016, Identification of elastic properties of individual material phases by coupling of micromechanical model and evolutionary algorithm, Mechanika, 22, 5, 337-342.
  • 18. Ptaszny J., Hatłas M., 2018, Evaluation of the FMBEM efficiency in the analysis of porous structures, Engineering Computation, 35, 2, 843-866.
  • 19. Qiang C., Wang G., Pindera M.J., 2018, Finite-volume homogenization and localization of nanoporous materials with cylindrical voids. Part 1: Theory and validation, European Journal of Mechanics – A/Solids, 70, 141-155.
  • 20. Terada K., Kurumatani M., Ushida T., Kikuchi N., 2010, A method of two-scale thermomechanical analysis for porous solids with micro-scale heat transfer, Computional Mechanics, 46, 269-285.
  • 21. Zhodi T.I.,Wriggers P., 2008, Introduction to Computational Micromechanics, Springer-Verlag, Berlin, Heidelberg.
  • 22. Zhuang X., Wang Q., Zhu H., 2015, A 3D computational homogenization model for porous material and parameters identification, Computational Materials Science, 96, 536-548.
  • 23. Zienkiewicz O.C., Taylor R.L., 2005, The Finite Element Method, Vol. 1-3, Elsevier, 6th edition, Oxford, United Kingdom.
  • 24. Živcová Z., Gregorová E., Pabst W., Smith D., Michot A., Poulier C., 2009, Thermal conductivity of porous alumina ceramics prepared using starch as a pore-forming agent, Journal of the European Ceramic Society, 29, 347-353.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b1c3a2f2-20b2-4dec-996a-ed7d0e92a017
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