Multi-Objective Identification of Nonlinear Material Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F12%3A00198567" target="_blank" >RIV/68407700:21110/12:00198567 - 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 Identification of Nonlinear Material Model
Original language description
A multi-objective formulation of a nonlinear material model identification is presented. Since the material is tested on the basis of several tests, the multi-objective optimization with objectives for errors in individual tests' identification is a logic solution. Two optimization algorithms are implemented and compared. The first one is based on mean error function and an application of the single-objective genetic algorithm GRADE. In the second approach, for each test an error function will be defined, which allows to emphasize individual contributions of those tests. To optimize this problem, the multi-objective genetic algorithm NSGA-II is employed.
Czech name
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Czech description
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Project
<a href="/en/project/TA01030733" target="_blank" >TA01030733: Effective design, monitoring and forecast of behavior of road prestressed concrete box girder bridges</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 3rd Conference Nano and Macro Mechanics NMM 2012
ISBN
978-80-01-05097-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
179-186
Publisher name
České vysoké učení technické v Praze, Fakulta stavební
Place of publication
Praha
Event location
Prague
Event date
Sep 20, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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