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Inverse Modelling for Material Parameters Identification of Soft Tissues (CROSBI ID 661668)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Piličić, Stjepan ; Marković, Kristina ; Franulović, Marina Inverse Modelling for Material Parameters Identification of Soft Tissues // Book of Abstracts 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and 3rd Conference on Imaging and Visualization / Fernandes, Paulo R. ; Tavares, João Manuel R. S. ; Folgado, Joao et al. (ur.). Lisabon: IDMEC - Instituto de Engenharia Mecânica, 2018. str. 268-268

Podaci o odgovornosti

Piličić, Stjepan ; Marković, Kristina ; Franulović, Marina

engleski

Inverse Modelling for Material Parameters Identification of Soft Tissues

In order to make prediction of the mentioned materials behaviour as accurate as possible, adequate material models must be used. Soft tissues are nonlinear elastic materials that can undergo large deformations when subjected to loading and it is suitable to take into account application of hyperelastic material models. Models differ from each other by the number of constants which have to be identified as meaningful material parameters. In order to describe the behaviour of soft tissues as accurately as possible, it is not only crucial to select appropriate material model, but also the calibration of the chosen model must be performed. Calibration of most models is not a trivial task and adequate optimization procedures, like evolutionary algorithms, need to be applied. It especially comes to expression when working with complex material models. This paper proposes solution for the mentioned calibration as an inverse modelling in the application of genetic algorithm with specially developed genetic operators. The algorithm has proved itself to be a suitable tool for automatization of the calibration process and also to be applicable within the scope of the widely available numerical computing environments. Effective genetic algorithm enables the achievement of appropriate values of material parameters for the chosen models and, consequently, the more accurate modelling of the behaviour of soft tissues.

sof tissues, biomaterials, inverse modelling, parameter identifcation, genetic algorithm

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Podaci o prilogu

268-268.

2018.

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objavljeno

978-989-99424-5-5

Podaci o matičnoj publikaciji

Book of Abstracts 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and 3rd Conference on Imaging and Visualization

Fernandes, Paulo R. ; Tavares, João Manuel R. S. ; Folgado, Joao ; Quental, Carlos ; Ruben, Rui

Lisabon: IDMEC - Instituto de Engenharia Mecânica

Podaci o skupu

15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering ; 3rd Conference on Imaging and Visualization

poster

26.03.2018-29.03.2018

Lisabon, Portugal

Povezanost rada

Strojarstvo