Theoretical and Numerical Analysis of Anterior Cruciate Ligament Injury and its Prevention

Theoretical and Numerical Analysis of Anterior Cruciate Ligament Injury and its Prevention

Lixiang Yang

Contact

University of Cincinnati

Theoretical and Numerical Analysis of Anterior Cruciate Ligament Injury and its Prevention

Article Fingerprint

ReserarchID

K6VPH

Theoretical and Numerical Analysis of Anterior Cruciate Ligament Injury and its Prevention Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

Anterior cruciate ligament (ACL) injury is one of major risks for most athletes. ACL injury can be caused by many risk factors such as anatomic risk factors, biomechanical risk factors and environmental risk factors. In this article, numerical and theoretical analysis is conducted to investigate biomechanical risk factors. An entire threedimensional finite element knee model is built based on MRI data. Anterior Tibial Translations (ATT) at different knee flexion angles are simulated by finite element models. In the simulations, more attention is given to material properties of different knee components and their effects on ACL injury. Mechanical response of ACL during sport activities is highly determined by its viscoelastic properties. Unfortunately, viscoelastic properties of two bundles of ACL will change dramatically even with several hours’ physical aging. As a consequence, ACL will experience mechanical ductile to brittle transition due to daily physical aging. Theory of physical aging from polymer science is, for the first time, introduced to understand ACL injury and its prevention. By analogy to physical aging of amorphous polymer materials, we think physical aging of two bundles of ACL will largely increase risk of ACL injury. Besides, physical aging will also build a heterogeneous stress and strain in ACL due to its natural anatomic structure, which is a large risk for athletes. The specific designed prevention programs for ACL injury such as plyometrics, strengthening and other neuromuscular training exercises [1] are believed to erase physical aging of ACL. ACL with less physical aging is less likely to get injured in sport activities. In this article, a virtual physical aging simulation is

References

34 Cites in Article

Reference Format

Timothy Hewett,Thomas Lindenfeld,Jennifer Riccobene,Frank Noyes (1999). The Effect of Neuromuscular Training on the Incidence of Knee Injury in Female Athletes.
Nader Rahnama,Effat Bambaeichi,Abdolhamid Daneshjoo (2009). The epidemiology of knee injuries in Iranian male professional soccer players.
A Calder (2018). Physical profiling in lacrosse: a brief review.
Filippo Migliorini,Björn Rath,Markus Tingart,Marc Niewiera,Giorgia Colarossi,Alice Baroncini,Jörg Eschweiler (2019). Injuries among volleyball players: a comprehensive survey of the literature.
Letha Griffin,Julie Agel,Marjorie Albohm,Elizabeth Arendt,Randall Dick,William Garrett,James Garrick,Timothy Hewett,Laura Huston,Mary Ireland,Robert Johnson,W Kibler,Scott Lephart,Jack Lewis,Thomas Lindenfeld,Bert Mandelbaum,Patricia Marchak,Carol Teitz,Edward Wojtys (2000). Noncontact Anterior Cruciate Ligament Injuries: Risk Factors and Prevention Strategies.
Yuhua Song,Richard Debski,Volker Musahl,Maribeth Thomas,Null- Woo (2004). A three-dimensional finite element model of the human anterior cruciate ligament: a computational analysis with experimental validation.
H Beidokhti,D Janssen,S Van De Groes,J Hazrati,T Van Den Boogaard,N Verdonschot (2017). The influence of ligament modelling strategies on the predictive capability of finite element models of the human knee joint.
Z Trad,Z Barkaoui,M Chafra,J Manuel,R Tavares (2018). FEM Analysis of the Human Knee Joint, A review.
F Luiso,C Tromponi,P Pozza,E Cavazza,E Vecchini,M Ricci (2018). Anterior cruciate ligament injury in amateur football players: risk factors and return to sport after surgical reconstruction.
Scott Mclean,Kaitlyn Mallett,Ellen Arruda (2015). Deconstructing the Anterior Cruciate Ligament: What We Know and Do Not Know About Function, Material Properties, and Injury Mechanics.
S Cohen,C Vanbeek,J Starman,D Armfield,J Irrgang (2009). MRI measurement of the 2 bundles of the normal anterior cruciate ligament.
(2019). Numerical Integration.
B Marchi,C Luetkemeyer,E Arruda (2018). Evaluating continuum level descriptions of the medial collateral ligament.
V Mow,R Huiskes (2004). Basic Orthopaedic Biomechanics and Mechano-Biology.
Y Fung,Richard Skalak (1993). Biomechanics. Mechanical Properties of Living Tissues.
L Yang,L Yang (2018). Note on Gent's hyperelastic model.
Lixiang Yang,Yung-Yu Chen,Sheng-Tao John Yu (2013). Viscoelasticity determined by measured wave absorption coefficient for modeling waves in soft tissues.
S,-Y Woo,G Johnson,B Smith (1993). Mathematical modeling of ligaments and tendons.
Ryan Castile,Nathan Skelley,Behzad Babaei,Robert Brophy,Spencer Lake (2016). Microstructural properties and mechanics vary between bundles of the human anterior cruciate ligament during stress-relaxation.
P Provenzano,R Lakes,T Keenan,R Vander By (2001). Nonlinear ligament viscoelasticity.
Lixiang Yang (2019). A Mathematical Model for Amorphous Polymers Based on Concepts of Reptation Theory.
Jinjin Ma,Michael Smietana,Tatiana Kostrominova,Edward Wojtys,Lisa Larkin,Ellen Arruda (2012). Three-Dimensional Engineered Bone–Ligament–Bone Constructs for Anterior Cruciate Ligament Replacement.
Jinjin Ma,Ellen Arruda (2012). A Micromechanical Viscoelastic Constitutive Model for Native and Engineered Anterior Cruciate Ligaments.
Ellen Arruda,Mary Boyce (1993). A three-dimensional constitutive model for the large stretch behavior of rubber elastic materials.
J Bischoff,E Arruda,K Grosh (2001). A new constitutive model for the compressibility of elastomers at finite deformations.
John Moyer,Ryan Priest,Troy Bouman,Adam Abraham,Tammy Haut Donahue (2013). Indentation properties and glycosaminoglycan content of human menisci in the deep zone.
J Ma (2012). Experimental and computational characterizatins of native ligaments, tendons, and engineered 3-D bone-ligament-bone constructs in the knee.
E Wang,T Nelson,R Rauch (2004). Back to Elements -Tetrhedra vs. Hexahedra.
S Tadepalli,A Erdemir,P Cavanagh (2011). Comparison of hexahedral and tetrahedral elements in finite element analysis of the foot and footwear.
L Struik (1978). Physical aging in polymers and other amorphous materials.
R Bahr,T Krosshaug (2005). Understanding injury mechanisms: a key component of preventing injuries in sport [Review].
F Mackintosh,J Kas,P Janmey (1995). Elasticity of semiflexible biopolymer networks.
G Odegard,A Bandyopadhyay (2011). Physical aging of epoxy polymers and their composites.
Z Barkaoui,M Chafra,J Manuel,R Tavares (2018). FEM Analysis of the Human Knee Joint, A review.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Lixiang Yang. 2020. \u201cTheoretical and Numerical Analysis of Anterior Cruciate Ligament Injury and its Prevention\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 20 (GJRE Volume 20 Issue J1): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJRE Volume 20 Issue J1
Pg. 43- 54

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Not Found

Classification

GJRE-J Classification: FOR Code: 091599

Submission ReceivedDecember 8, 2019
Peer Review Double Blind
Handling Editor
Accepted January 3, 2020
Published January 15, 2020

Version of record

v1.2

Issue date

February 17, 2020

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Views: 2346

Total Downloads: 1105

2026 Trends

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]