Intelligent Geopolymer Characterisation System Using Multicriteria Analysis and Markov Chains

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F23%3A00011394" target="_blank" >RIV/46747885:24210/23:00011394 - isvavai.cz</a>

Výsledek na webu

<a href="https://ceur-ws.org/Vol-3513/paper32.pdf" target="_blank" >https://ceur-ws.org/Vol-3513/paper32.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Intelligent Geopolymer Characterisation System Using Multicriteria Analysis and Markov Chains

Popis výsledku v původním jazyce

The advantages of hybrid intelligent systems are the common objective of the exploited model, the possibility of extension, and adaptation to loads through scaling. A smart system and algorithm for hybrid implementation of criterion evaluation and probabilistic dynamics of slobostructured geopolymer basic characteristics in real time are proposed based on the coupling of Markov chains and multicriteria optimization methods. The advantages of hybrid intelligent systems lie in the overall objective of the proposed model, scalability, and adaptability to workloads through scaling. The computational basis of calculations was the digitalization of technology study and analysis of physical-mechanical properties of geopolymers. The optimal composition of geopolymer structure elements for the given technology of their production was determined. The results of modeling the parameters of target functions have shown the advantages of the digitalization of technologies in the analysis of the physical and mechanical properties of geopolymers. The use of the analytical apparatus of Markov chains allowed us to rank the coefficients of multicriteria optimization and to increase the accuracy of calculations.

Název v anglickém jazyce

Intelligent Geopolymer Characterisation System Using Multicriteria Analysis and Markov Chains

Popis výsledku anglicky

The advantages of hybrid intelligent systems are the common objective of the exploited model, the possibility of extension, and adaptation to loads through scaling. A smart system and algorithm for hybrid implementation of criterion evaluation and probabilistic dynamics of slobostructured geopolymer basic characteristics in real time are proposed based on the coupling of Markov chains and multicriteria optimization methods. The advantages of hybrid intelligent systems lie in the overall objective of the proposed model, scalability, and adaptability to workloads through scaling. The computational basis of calculations was the digitalization of technology study and analysis of physical-mechanical properties of geopolymers. The optimal composition of geopolymer structure elements for the given technology of their production was determined. The results of modeling the parameters of target functions have shown the advantages of the digitalization of technologies in the analysis of the physical and mechanical properties of geopolymers. The use of the analytical apparatus of Markov chains allowed us to rank the coefficients of multicriteria optimization and to increase the accuracy of calculations.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20701 - Environmental and geological engineering, geotechnics

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

CEUR Workshop Proceedings

ISBN

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ISSN

1613-0073

e-ISSN

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Počet stran výsledku

14

Strana od-do

384-397

Název nakladatele

CEUR-WS

Místo vydání

Odesa

Místo konání akce

Odesa, Ukraine

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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