doktorsko delo
Andraž Maček (Author), Miroslav Halilovič (Mentor)

Abstract

Za zagotovitev točnega izračuna mehanskega odziva izdelka je treba v izračunu upoštevati čim bolj realen odziv materiala, ki ga popišemo s konstitutivnim modelom. Za določitev parametrov modela se v zadnjem času uporablja metode inverzne identifikacije na podlagi nehomogenih polj deformacij. V delu obravnavamo dve področji obravnavane tematike, pri čemer smo z upoštevanjem merilne negotovosti uspešno napovedali intervale zaupanja identificiranih parametrov in z analizo občutljivosti odziva preizkušanca na posamezne parametre razvili primernejši eksperiment in postopek identifikacije.

Keywords

disertacije;inverzna identifikacija;konstitutivni modeli;snovni parametri;korelacija digitalnih slik;polja deformacij;metoda končnih elementov;optimizacija;

Data

Language: Slovenian
Year of publishing:
Typology: 2.08 - Doctoral Dissertation
Organization: UL FS - Faculty of Mechanical Engineering
Publisher: [A. Maček]
UDC: 004.942:519.876.5(043.3)
COBISS: 80285955 Link will open in a new window
Views: 967
Downloads: 116
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Other data

Secondary language: English
Secondary title: Inverse identification of constitutive model parameters based on inhomogeneous strain field
Secondary abstract: To ensure an accurate calculation of the mechanical response of products it is necessary to employ a constitutive model which simulates the material response as realistic as possible. The constitutive model parameters are nowadays determined using inverse identification methods considering heterogeneous strain fields. The thesis investigates two areas of the presented topic where we have successfully determined the confidence intervals of the identified parameters considering measurement uncertainty and developed a better-suited specimen and identification procedure using sensitivity analysis of the specimen response.
Secondary keywords: dissertations;inverse identification;constitutive model;material parameters;digital image correlation;strain field;finite element method;optimization;
Type (COBISS): Doctoral dissertation
Study programme: 0
Thesis comment: Univ. v Ljubljani, Fak. za strojništvo
Pages: XXVIII, [135] str.
ID: 13694353