Inverse Modelling for Material Parameters Identification of Soft Tissues (CROSBI ID 661668)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
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.
objavljeno
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
978-989-99424-5-5
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