Intelligent Geopolymer Characterisation System Using Multicriteria Analysis and Markov Chains

Result code in 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>

Result on the web

<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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Result language

angličtina

Original language name

Intelligent Geopolymer Characterisation System Using Multicriteria Analysis and Markov Chains

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20701 - Environmental and geological engineering, geotechnics

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

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

Article name in the collection

CEUR Workshop Proceedings

ISBN

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ISSN

1613-0073

e-ISSN

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Number of pages

14

Pages from-to

384-397

Publisher name

CEUR-WS

Place of publication

Odesa

Event location

Odesa, Ukraine

Event date

Jan 1, 2023

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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