Multi-objective parameters estimation for affinity model of cement paste hydration

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F10%3A00176642" target="_blank" >RIV/68407700:21110/10:00176642 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Multi-objective parameters estimation for affinity model of cement paste hydration
Original language description
The target of estimation is to find a set of input parameters for the affinity model, which gives the best agreement of an affinity model response with a response of another, more complex, hydration model. The error function(s) based on differences between both models is defined and minimized. Two approaches are compared: The first one is based on one error function and an application of the genetic algorithm GRADE. In the second approach, more than one error function is defined, which allows to emphasize different parts of the hydration process. To optimize this problem, the multi-objective genetic algorithm NSGA-II and Weighted Sum Method is employed.
Czech name
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Czech description
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Project
<a href="/en/project/GD103%2F09%2FH078" target="_blank" >GD103/09/H078: Computer and experimental analysis of civil engineering materials and their multilayered systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name
Computer and Experimental Analysis of Civil Engineering Materials and their Multilayered Systems II
ISBN
978-80-01-04676-0
Number of pages of the result
15
Pages from-to
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Number of pages of the book
218
Publisher name
ČVUT
Place of publication
Praha
UT code for WoS chapter
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