Low cycle fatigue properties of porcine aorta-Pilot study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F23%3A10252235" target="_blank" >RIV/61989100:27230/23:10252235 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1751616123000784" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1751616123000784</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jmbbm.2023.105725" target="_blank" >10.1016/j.jmbbm.2023.105725</a>
Alternative languages
Result language
angličtina
Original language name
Low cycle fatigue properties of porcine aorta-Pilot study
Original language description
Introduction: Biomechanical rupture risk assessment of aortic tissues is commonly based on computed stress to measured uniaxial static strength comparison. Loading of the arterial wall, however, is cyclic; thus, the static strength may not be a proper limit value. This study investigates the low cycle fatigue of porcine aortic samples tested in a circumferential direction.Methods: 7 porcine descending aorta (both thoracic and abdominal) were harvested and 56 dogbone-shaped samples were prepared. Static strength was measured, the limit of engineering stress was chosen and then force controlled cyclic loading was performed up to 100,000 cycles. Efforts were made to obtain a sufficient number of points across the entire range of 0-100,000 cycles. Data were fitted by both linear and logarithmic law and extrapolated towards 1 cycle for validation against static strength/ultimate tension. Data dispersion was evaluated via normalised root mean square error.Results: Out of 56 samples from 7pigs, 28 samples from 4 pigs were successfully tested. There was a strong negative correlation between applied stress/tension and number of cycles to failure. The fitting of both linear and logarithmic values resulted in a similar accuracy (R2 = 0.72 and 0.71 for stress and R2 = 0.62 and 0.7 for tension, respectively), while predicting static failure properties was more accurate by logarithmic law. NRMSE was lower for absolute values (20-21%) than for relative values (27-30%).Conclusions: Absolute values of cyclic strength and tension are less dispersed than relative ones. Logarithmic fits are more robust in predicting static strength from cyclic data, while linear fits serve as a lower limit estimation.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20600 - Medical engineering
Result continuities
Project
<a href="/en/project/LTAUSA18134" target="_blank" >LTAUSA18134: Computational stochastic rupture risk assessment of abdominal aortic aneurysm</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of the Mechanical Behavior of Biomedical Materials
ISSN
1751-6161
e-ISSN
1878-0180
Volume of the periodical
140
Issue of the periodical within the volume
April
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
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UT code for WoS article
000948360800001
EID of the result in the Scopus database
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