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First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address.Kayumov R.A. – doctor of physical and mathematical sciences, professor E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Muhamedova I.Z. – candidate of physical and mathematical sciences, associate professor E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Kazan State University of Architecture and Engineering The organization address: 420043, Russia, Kazan, Zelenaya st., 1 Kovtunova T.I. – candidate of pedagogical sciences, associate professor E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Kaluga State University named K.E. Tsiolkovsky The organization address: 248023, Russia, Kaluga, Stepan Razin st., 26
Title of the articleSensitivity analysis of the problem of identification of tissue mechanical properties of the composite
Abstract.In the calculation of structures necessary to solve a number of problems, including the question of finding the mechanical characteristics of the material, the design scheme of choice (mathematical models of material behavior and structures, representations of external influences, fixing conditions), select the method of solving the equations. The method for the experimental determination of the stiffness characteristics of the tissue on the results of tests of samples cut at different angles to the stem at different tension. For the numerical analysis of the deformation process of tissue samples used Lagrange principle in increments. In order to work out methods above approach was tested. Results showed robustness of this technique and developed the program. Formulated mathematical programming problem of minimizing the quadratic discrepancy resulting system of equations, which are determined by solving the mechanical properties of the composite tissue. The effect of the perturbation of initial experimental data to the results of identification for nonlinear model deformation. Numerical experiments show that the considered problem is robust to variations in the source data.
Keywords.Model, identification, stiffness characteristics, the experiment.
For citations:Kayumov R.A., Muhamedova I.Z., Kovtunova T.I. Sensitivity analysis of the problem of identification of tissue mechanical properties of the composite // Izvestiya KGASU. 2012. №4(22) P.296-301.


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