"Microplane Model Parameters Estimation Using Soft Computing Methods"@en . "Microplane Model Parameters Estimation Using Soft Computing Methods" . "536 ; 539" . "3"^^ . "Concrete as a man-made heterogeneous material shows very complex nonlinear behavior which is extremely difficult to model both theoretically and numerically. The microplane model is a fully three-dimensional material law that includes tensional and compressive softening, damage of the material, different combinations of loading, unloading and cyclic loading along with the development of damage-induced anisotropy of the material. As a result, it is fully capable of predicting behavior of real-world concrete structures once provided with proper input data. Although the authors of the model proposed a heuristic calibration procedure, it is based on the trial-and-error method and provides guide to determination of selected material parameters. Therefore, a reliable and inexpensive procedure for parameters identification of this model is on demand. In the view of potential improvements proposed in a recent work on soft computing methods, a new procedure based on artificial neural networks ."@en . "Ur\u010Den\u00ED parametr\u016F mikroplo\u0161kov\u00E9ho modelu pomoc\u00ED metod um\u011Bl\u00E9 inteligence"@cs . "Z(MSM 210000003)" . . . . . . "Ljubljana" . "Microplane Model Parameters Estimation Using Soft Computing Methods"@en . "Tento p\u0159\u00EDsp\u011Bvek diskutuje identifikaci parametr\u016F komplexn\u00EDho in\u017Een\u00FDrsk\u00E9ho modelu pomoc\u00ED metod um\u011Bl\u00E9 inteligence. Konkr\u00E9tn\u011B je p\u0159edstavena stochastick\u00E1 optimaliza\u010Dn\u00ED metoda SADE a jej\u00ED aplikace na ur\u010Den\u00ED parametr\u016F mikroplo\u0161kov\u00E9ho modelu betonu."@cs . . "961-6167-60-X" . "Lep\u0161, Mat\u011Bj" . "Concrete as a man-made heterogeneous material shows very complex nonlinear behavior which is extremely difficult to model both theoretically and numerically. The microplane model is a fully three-dimensional material law that includes tensional and compressive softening, damage of the material, different combinations of loading, unloading and cyclic loading along with the development of damage-induced anisotropy of the material. As a result, it is fully capable of predicting behavior of real-world concrete structures once provided with proper input data. Although the authors of the model proposed a heuristic calibration procedure, it is based on the trial-and-error method and provides guide to determination of selected material parameters. Therefore, a reliable and inexpensive procedure for parameters identification of this model is on demand. In the view of potential improvements proposed in a recent work on soft computing methods, a new procedure based on artificial neural networks ." . . "Concrete; Finite element method; Genetic algorithms; Inverse problems; Microplane model; Neural network"@en . . . "RIV/68407700:21110/04:01099173!RIV/2005/MSM/211105/N" . "Bled" . "573499" . "Zeman, Jan" . "2004-06-13+02:00"^^ . . . "Multi-physics and Multi-scale Computer Models in Non-linear Analysis and Optimal Design of Engineering Structures Under Extreme Conditions: Proceedings of NATO Advanced Research Worshop" . . "University of Ljubljana" . "RIV/68407700:21110/04:01099173" . . "21110" . . "4"^^ . "Ur\u010Den\u00ED parametr\u016F mikroplo\u0161kov\u00E9ho modelu pomoc\u00ED metod um\u011Bl\u00E9 inteligence"@cs . "Microplane Model Parameters Estimation Using Soft Computing Methods" . . . "Ku\u010Derov\u00E1, Anna" . "2"^^ . . . . . "[4343C371AAC2]" .