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Analiza izvedljivosti inverzne identifikacije parametrov konstitutivnih modelov z uporabo digitalne korelacije slik
ID Maček, Andraž (Author), ID Halilovič, Miroslav (Mentor) More about this mentor... This link opens in a new window

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MD5: 4440AE61685F0882890CCE43E9BED208
PID: 20.500.12556/rul/89200517-5be2-4153-8284-32062f077941

Abstract
Razvoj in testiranje izdelkov potekata vedno pogosteje v virtualnem okolju, kjer simulacije potekajo na podlagi matematično-fizikalnih modelov in lastnosti izdelkov, med katere spadajo tudi elasto-plastične lastnosti materiala. Cilj naloge je preveriti izvedljivost identifikacije le-teh z uporabo digitalne korelacije slik. V delu so obravnavani realni eksperimenti z uporabo trgalnega stroja, numerični eksperimenti z metodo končnih elementov, pogojenost identifikacije in pa še sama metoda inverzne identifikacije. Potrdili smo zmožnost inverzne identifikacije snovnih parametrov z uporabo digitalne korelacije slik.

Language:Slovenian
Keywords:inverzna identifikacija, pogojenost eksperimenta, snovni parametri, konstitutivni model, digitalna korelacija slik, metoda končnih elementov, optimizacija
Work type:Master's thesis/paper
Organization:FS - Faculty of Mechanical Engineering
Year:2017
PID:20.500.12556/RUL-94431 This link opens in a new window
Publication date in RUL:25.08.2017
Views:3103
Downloads:837
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Secondary language

Language:English
Title:Feasibility Analysis of Inverse Identification of Constitutive Model Parameters Based on Digital Image Correlation
Abstract:
Development and research of products is mostly done in virtual environment, where simulations take place based on mathematical-physical models and product properties, which also include elasto-plastic material properties. The goal of this master thesis is to check if we can identify these parameters using digital image correlation. We made real experiments with the tensile testing machine and virtual experiments with FEM analysis. Some of the included topics are also sensitivity of parameter identification and the method of inverse identification. Throughout the thesis, we confirmed the material parameter identification with the help of digital image correlation.

Keywords:Inverse identification, Conditionality of experiment, Material parameters, Constitutive model, Digital image correlation, Finite element method, Optimization

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