Characterization of hyperelastic and damage behavior of tendons-Reference-Cited by-同舟云学术

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Characterization of hyperelastic and damage behavior of tendons

Published:2020-01-20 Issue:6 Volume:23 Page:213-223
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

López-Campos J. A.¹^ORCID,Ferreira J. P. S.²^ORCID,Segade A.¹^ORCID,Fernández J. R.³^ORCID,Natal R. M.²^ORCID

Affiliation:

1. Departamento de Ingeniería Mecánica, Máquinas y Motores Térmicos y Fluídos, Universidade de Vigo, Escola de Enxeñería Industrial, Vigo, Spain;

2. Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

3. Departamento de Matemática Aplicada I, Universidade de Vigo, ETSI Telecomunicación, Vigo, Spain

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2019.1710742

Reference55 articles.

1. Three-dimensional dynamic behaviour of the human knee joint under impact loading

2. A Visco-hyperelastic Model With Damage for the Knee Ligaments Under Dynamic Constraints

3. Finite element analysis of human knee joint in varus-valgus

4. Comparison of material properties in fascicle-bone units from human patellar tendon and knee ligaments

5. An uncoupled directional damage model for fibred biological soft tissues. Formulation and computational aspects

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1. Nonlocal damage evaluation of a sigmoid-based damage model for fibrous biological soft tissues;Biomechanics and Modeling in Mechanobiology;2023-12-29

2. On implementation of fibrous connective tissues’ damage in Abaqus software;Journal of Biomechanics;2023-08

3. Anisotropic Hyperelastic Material Characterization: Stability Criterion and Inverse Calibration with Evolutionary Strategies;Mathematics;2023-02-11

4. A hyperelastic model for corneal stroma accounting for cross-linking and damage;International Journal of Engineering Science;2022-06

5. Parameters Identification of Rubber-like Hyperelastic Material Based on General Regression Neural Network;Materials;2022-05-25

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