Hyperelastic-material characterization: A comparison of material constants

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F20%3A63526114" target="_blank" >RIV/70883521:28110/20:63526114 - isvavai.cz</a>

Výsledek na webu

<a href="http://mit.imt.si/izvodi/mit201/keert.pdf" target="_blank" >http://mit.imt.si/izvodi/mit201/keert.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17222/mit.2019.161" target="_blank" >10.17222/mit.2019.161</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Hyperelastic-material characterization: A comparison of material constants

Popis výsledku v původním jazyce

Data fitting is an essential part of obtaining material constants for hyperelastic models. However, due to inadequate experimental data, a single-data set, i.e. uniaxial data, is often used for fitting. Despite a frequent use of this method, it is proven that it provides an inaccurate forecast for a characterization. Therefore, as an alternative method, combined-data fitting is usually recommended. In this research, material constants calculated through two different data-fitting methods were evaluated in terms of dispersion. First, material constants were obtained by taking the average of two single-data-set fitted constants (the uniaxial and biaxial data). The second method used the combined-data fitting to find the material constants. Using the constants found, biaxial and uniaxial curves were drawn for each case. For this purpose, three models, the Mooney, Ogden and Yeoh model, were selected. When considering the Mooney model, the averaged method seems not to show a sufficient improvement to the biaxial curve. The Yeoh model reacts equally to both methods, while the Ogden model seems not to be applicable to the averaged method.

Název v anglickém jazyce

Hyperelastic-material characterization: A comparison of material constants

Popis výsledku anglicky

Data fitting is an essential part of obtaining material constants for hyperelastic models. However, due to inadequate experimental data, a single-data set, i.e. uniaxial data, is often used for fitting. Despite a frequent use of this method, it is proven that it provides an inaccurate forecast for a characterization. Therefore, as an alternative method, combined-data fitting is usually recommended. In this research, material constants calculated through two different data-fitting methods were evaluated in terms of dispersion. First, material constants were obtained by taking the average of two single-data-set fitted constants (the uniaxial and biaxial data). The second method used the combined-data fitting to find the material constants. Using the constants found, biaxial and uniaxial curves were drawn for each case. For this purpose, three models, the Mooney, Ogden and Yeoh model, were selected. When considering the Mooney model, the averaged method seems not to show a sufficient improvement to the biaxial curve. The Yeoh model reacts equally to both methods, while the Ogden model seems not to be applicable to the averaged method.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20501 - Materials engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Materiali in Tehnologije

ISSN

1580-2949

e-ISSN

—

Svazek periodika

54

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

SI - Slovinská republika

Počet stran výsledku

3

Strana od-do

121-123

Kód UT WoS článku

000536656900018

EID výsledku v databázi Scopus

2-s2.0-85081686118