Soft computing methods in concrete mix performance approximation and optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F12%3A00198132" target="_blank" >RIV/68407700:21110/12:00198132 - isvavai.cz</a>

Výsledek na webu

<a href="http://klobouk.fsv.cvut.cz/~leps/publications/pdf/habilitation.pdf" target="_blank" >http://klobouk.fsv.cvut.cz/~leps/publications/pdf/habilitation.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Soft computing methods in concrete mix performance approximation and optimization

Popis výsledku v původním jazyce

The aim of this work is to show possible applications of soft computing tools within one specific problem of a material design domain. Since the main emphasis of the presented work is placed on soft computing methods, the phenomenon of hydrating cement is only sketched. The objectives are concentrated at an approximation and optimization of hydration heat by soft computing techniques, taking into account chemical and physical cement composition and boundary conditions. The works starts with the Design of Experiments (DoE) for sampling-based sensitivity analysis to investigate the influence of individual components and processes during concrete hydration. The identification of important models' parameters from obtained experimental data is briefly summarized. Then, the combination of approximation techniques, so-called Kriging metamodel combined with the Genetic Programming algorithm aims at prediction of hydration heat solely from experimental data sets. The Kriging method gives good p

Název v anglickém jazyce

Soft computing methods in concrete mix performance approximation and optimization

Popis výsledku anglicky

The aim of this work is to show possible applications of soft computing tools within one specific problem of a material design domain. Since the main emphasis of the presented work is placed on soft computing methods, the phenomenon of hydrating cement is only sketched. The objectives are concentrated at an approximation and optimization of hydration heat by soft computing techniques, taking into account chemical and physical cement composition and boundary conditions. The works starts with the Design of Experiments (DoE) for sampling-based sensitivity analysis to investigate the influence of individual components and processes during concrete hydration. The identification of important models' parameters from obtained experimental data is briefly summarized. Then, the combination of approximation techniques, so-called Kriging metamodel combined with the Genetic Programming algorithm aims at prediction of hydration heat solely from experimental data sets. The Kriging method gives good p

Druh

O - Ostatní výsledky

CEP obor

JN - Stavebnictví

OECD FORD obor

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Projekt

<a href="/cs/project/GP103%2F07%2FP554" target="_blank" >GP103/07/P554: Vícekriteriální optimalizace návrhu složení betonové směsi na základě počítačové simulace</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2012

Kód důvěrnosti údajů

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