About: Soft computing-based calibration of microplane M4 model parameters: Methodology and validation

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Constitutive models for concrete based on the microplane concept have repeatedly proven their ability to well-reproduce non-linear response of concrete on material as well as structural scales. The major obstacle to a routine application of this class of models is, however, the calibration of microplane-related constants from macroscopic data. The goal of this paper is twofold: (i) to introduce the basic ingredients of a robust inverse procedure for the determination of dominant parameters of the M4 model proposed by Bažant et al. (2000) based on cascade artificial neural networks trained by evolutionary algorithm and (ii) to validate the proposed methodology against a representative set of experimental data. The obtained results demonstrate that the soft computing-based method is capable of delivering the searched response with an accuracy comparable to the values obtained by expert users. Constitutive models for concrete based on the microplane concept have repeatedly proven their ability to well-reproduce non-linear response of concrete on material as well as structural scales. The major obstacle to a routine application of this class of models is, however, the calibration of microplane-related constants from macroscopic data. The goal of this paper is twofold: (i) to introduce the basic ingredients of a robust inverse procedure for the determination of dominant parameters of the M4 model proposed by Bažant et al. (2000) based on cascade artificial neural networks trained by evolutionary algorithm and (ii) to validate the proposed methodology against a representative set of experimental data. The obtained results demonstrate that the soft computing-based method is capable of delivering the searched response with an accuracy comparable to the values obtained by expert users. (en)
Title	Soft computing-based calibration of microplane M4 model parameters: Methodology and validation Soft computing-based calibration of microplane M4 model parameters: Methodology and validation (en)
skos:prefLabel	Soft computing-based calibration of microplane M4 model parameters: Methodology and validation Soft computing-based calibration of microplane M4 model parameters: Methodology and validation (en)
skos:notation	RIV/68407700:21110/14:00214185!RIV15-MSM-21110___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GAP105/12/1146), P(GPP105/11/P370), Z(MSM6840770003)
http://linked.open...iv/cisloPeriodika	June
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Kučerová, Anna Lepš, Matěj
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta stavební
http://linked.open...dnocenehoVysledku	45702
http://linked.open...ai/riv/idVysledku	RIV/68407700:21110/14:00214185
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Computational simulation of concrete; Evolutionary algorithm; Global sensitivity analysis; Inverse analysis; Microplane model M4; Neural networks (en)
http://linked.open.../riv/klicoveSlovo	Evolutionary algorithm Inverse analysis Neural networks Computational simulation of concrete Global sensitivity analysis Microplane model M4
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[514BCF98ECB0]
http://linked.open...i/riv/nazevZdroje	Advances in Engineering Software
http://linked.open...in/vavai/riv/obor	JM
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Methods for paralelization of engineering problems using low-cost technologies Artificial neural networks in multi-scale modelling of transport processes in heterogeneous materials
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	72
http://linked.open...iv/tvurceVysledku	Kučerová, Anna Lepš, Matěj
http://linked.open...ain/vavai/riv/wos	000335707200024
http://linked.open...n/vavai/riv/zamer	Rozvoj algoritmů počítačových simulací a jejich aplikace v inženýrství
issn	0965-9978
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.advengsoft.2014.01.013
http://localhost/t...ganizacniJednotka	21110

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