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HOKEŠ, F. KALA, J.
Original Title
Selecting the objective function during the inverse identification of the parameters of a material model of concrete
Type
journal article in Web of Science
Language
English
Original Abstract
Selecting the correct objective function is the critical precondition for a successful optimization task. The validity of this condition is also required when optimization algorithms are needed for the inverse identification of the unknown parameters of nonlinear material models of concrete, where experimentally measured load-displacement curves can be conveniently applied. In such cases, the objective function expressions can be formulated as the difference between the functional values of the curves or via comparing the characteristic features, which comprise the area under the curve and also the maximum functional value. The proposed article brings a study of the influence of the different formulations of the objectives functions to achieving optimum in the inverse analysis using genetic algorithm. The numerical part of the study was performed in the ANSYS computational system with use of multiPlas library of elasto-plastic material models from which the model based on formulations of Menetrey and Willam was chosen.
Keywords
Identification; Objective function; RMSE; Optimization; Sensitivity analysis
Authors
HOKEŠ, F.; KALA, J.
Released
1. 1. 2017
Publisher
Gruppo Italiano Frattura
Location
Itálie
ISBN
1971-8993
Periodical
Frattura ed Integrita Strutturale
Year of study
11
Number
39
State
Republic of Italy
Pages from
7
Pages to
16
Pages count
10
URL
https://www.fracturae.com/index.php/fis/article/view/IGF-ESIS.39.02
BibTex
@article{BUT164215, author="Filip {Hokeš} and Jiří {Kala}", title="Selecting the objective function during the inverse identification of the parameters of a material model of concrete", journal="Frattura ed Integrita Strutturale", year="2017", volume="11", number="39", pages="7--16", doi="10.3221/IGF-ESIS.39.02", issn="1971-8993", url="https://www.fracturae.com/index.php/fis/article/view/IGF-ESIS.39.02" }