Tytuł artykułu
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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
Neural Networks and Soft Computing/International Symposium (30.06-02.07.2005 ; Cracow, Poland)
Języki publikacji
Abstrakty
A new procedure based on layered feed-forward neural networks for the microplane material model parameters identification is proposed in the present paper. Novelties are usage of the Latin Hypercube Sampling method for the generation of training sets, a systematic employment of stochastic sensitivity analysis and a genetic algorithm-based training of a neural network by an evolutionary algorithm. Advantages and disadvantages of this approach together with possible extensions are thoroughly discussed and analyzed.
Rocznik
Tom
Strony
219--242
Opis fizyczny
Bibliogr. 15 poz., il., tab., wykr.
Twórcy
autor
autor
autor
- Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague Thákurova 7, 166 29 Prague 6, Czech Republic
Bibliografia
- [1] Z.P. Bażant, F.C. Caner. Microplane model M5 with kinematic and static constraints for concrete fracture and anelasticity. Part I: Theory, Part II: Computation. Journal of Engineering Mechanics-ASCE, 131(1): 31-40, 41-47, 2005.
- [2] Z.P. Bažant, F.C. Caner, I. Carol, M.D. Adley, S.A. Akers. Microplane model M4 for concrete. Part I: Formulation with work-conjugate deviatoric stress, Part II: Algorithm and calibration. Journal of Engineering Mechanics ASCE, 126: 944-953, 954-961, 2000.
- [3] J. Drchal, A. Kućerova, J. Nemećek. Using a genetic algorithm for optimizing synaptic weights of neural networks. CTU Reports, 7(1): 161-172, 2003.
- [4] O. Hrstka, A. Kućerova. Improvements of real coded genetic algorithms based on differential operators preventing the premature convergence. Advances in Engineering Software, 35(3-4): 237-246, 2004.
- [5] A. Ibrahimbegović, C. Knopf-Lenoir, A. Kućerova, P. Villon. Optimal design and optimal control of structures undergoing finite rotations and elastic deformations. International Journal for Numerical Methods in Engineering, 61(14): 2428-2460, 2004.
- [6] R.L. Iman, W.J. Conover. Small sample sensitivity analysis techniques for computer models with an application to risk assessment. Communications in Statistics, Part A - Theory and Methods, 9(17): 1749-1842, 1980.
- [7] M. Jirasek, Z.P. Bažant. Inelastic Analysis of Structures. John Wiley and Sons, 2001.
- [8] J. Nemeček, Z. Bittnar. Experimental investigation and numerical simulation of post-peak behavior and size effect of reinforced concrete columns. Materials and Structures, 37(267): 161-169, 2004.
- [9] J. Nemeček, P. Padevet, B. Patzak, Z. Bittnar. Effect of transversal reinforcement in normal and high strength concrete columns. Materials and Structures, 38(281): 665-671, 2005.
- [10] J. Nemeček, B. Patzak, D. Rypl, Z. Bittnar. Microplane models: computational aspects and proposed parallel algorithm. Computers and Structures, 80(27-30): 2099-2108, 2002.
- [11] D. Novak. FREET.-Feasible Reliability Engineering Efficient Tool. Brno University of Technology, Faculty of Civil Engineering, Institute of Structural Mechanics, Praha, Czech Republic, 2002. Web page: http://www.freet.cz
- [12] D. Novak, D. Lehky. ANN inverse analysis based on stochastic small-sample training set simulation. Engineering Applications of Artificial Intelligence, Special issue on Engineering Applications of Neural Networks — Novel Applications of Neural Networks in Engineering, 19(7): 731-740, 2006.
- [13] B. Patzak, Z. Bittnar. Design of object oriented finite element code. Advances in Engineering Software, 32(10-11): 759-767, 2001. Web page: http://www.oofem.org
- [14] A. Strauss, K. Bergmeister, D. Novak, D. Lehky. Stochastische Parameteridentifikation bei Konstruktionsbeton fur die Betonerhaltung, Beton- und Stahlbetonbau, 99(12): 967-974, 2004.
- [15] L.H. Tsoukalas, R.E. Uhrig. Fuzzy and neural approaches in engineering. John Wiley and Sons, 1997.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB2-0026-0017