Určení parametrů mikroploškového modelu pomocí metod umělé inteligence

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Microplane Model Parameters Estimation Using Soft Computing Methods

Popis výsledku v původním jazyce

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, areliable 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 .

Název v anglickém jazyce

Microplane Model Parameters Estimation Using Soft Computing Methods

Popis výsledku anglicky

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, areliable 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 .

Druh

D - Stať ve sborníku

CEP obor

JN - Stavebnictví

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

ISBN

961-6167-60-X

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

536-539

Název nakladatele

University of Ljubljana

Místo vydání

Ljubljana

Místo konání akce

Bled

Datum konání akce

13. 6. 2004

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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