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Fakulteta za strojništvo, Ljubljana (FSLJ)
  • Prediction of durability of composite structures related to time-dependent behavior of polymeric matrix [Elektronski vir] : monitoring time-dependent properties using artificial neural networks
    Aulova, Alexandra ; Govekar, Edvard ; Emri, Igor
    Durability of composites depends, among others, on the time- and temperature-dependent properties of polymeric matrix. This work proposes application of artificial neural networks for monitoring ... time-dependent mechanical properties of complex polymeric structures. It demonstrates the efficiency of the tool on example of reconstruction of a segment of relaxation modulus from the tensile data obtained by application of non-standard constant strain rate excitation using classical Radial Basis Function Neural Network. Compared to the proved and efficient fitting technique neural network showed good generalization and robustness.
    Vir: Trudy vtoroi mezhdunorodnoi konferencii Deformirovanie i razrushenie kompozicionnyh materialov i konstrukcij, 18-20 Oktober, Moskva [Elektronski vir] = Deformation and Failure of Composite Materials and Structures - DFCMS-2016 (F. 213-215)
    Vrsta gradiva - prispevek na konferenci
    Leto - 2016
    Jezik - angleški
    COBISS.SI-ID - 15013915

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