A non-linear stochastic approach of ligaments and tendons fractional-order hereditariness. (April 2020)
- Record Type:
- Journal Article
- Title:
- A non-linear stochastic approach of ligaments and tendons fractional-order hereditariness. (April 2020)
- Main Title:
- A non-linear stochastic approach of ligaments and tendons fractional-order hereditariness
- Authors:
- Bologna, E.
Lopomo, N.
Marchiori, G.
Zingales, M. - Abstract:
- Abstract: In this study the non-linear hereditariness of knee tendons and ligaments is framed in the context of stochastic mechanics. Without losing the possibility of generalization, this work was focused on knee Anterior Cruciate Ligament (ACL) and the tendons used in its surgical reconstruction. The proposed constitutive equations of fibrous tissues involves three material parameters for the creep tests and three material parameters for relaxation tests. One-to-one relations among material parameters estimated in creep and relaxations were established and reported in the paper. Data scattering, observed with a novel experimental protocol used to characterize the mechanics of the tissue, was modelled as the outcome of the random mechanical parameters. The numerical example proposed in the paper shows that for an assigned probability density function of the material random parameters, the parameters of the probability density function (pdf) may be obtained by a statistical analysis of the experimental data.
- Is Part Of:
- Probabilistic engineering mechanics. Volume 60(2020)
- Journal:
- Probabilistic engineering mechanics
- Issue:
- Volume 60(2020)
- Issue Display:
- Volume 60, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 60
- Issue:
- 2020
- Issue Sort Value:
- 2020-0060-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04
- Subjects:
- Non-linear creep -- Non-linear relaxation -- Random hereditariness
Engineering -- Statistical methods -- Periodicals
Mechanics, Applied -- Statistical methods -- Periodicals
Probabilities -- Periodicals
Ingénierie -- Méthodes statistiques -- Périodiques
Mécanique appliquée -- Méthodes statistiques -- Périodiques
Probabilités -- Périodiques
620.100727 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02668920 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.probengmech.2020.103034 ↗
- Languages:
- English
- ISSNs:
- 0266-8920
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6617.209600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13403.xml