Advances in biomechanics and applications

  • 제1권3호
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  • Pages.169-185
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  • 2014
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  • 2287-2094(pISSN)
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  • 2287-2272(eISSN)
테크노프레스 (Techno-Press)
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Development and validation of a computational multibody model of the elbow joint

  • Rahman, Munsur (Department of Civil and Mechanical Engineering, University of Missouri-Kansas City) ;
  • Cil, Akin (Department of Orthopaedic Surgery, University of Missouri-Kansas City) ;
  • Johnson, Michael (Department of Orthopaedic Surgery, University of Missouri-Kansas City) ;
  • Lu, Yunkai (Department of Civil and Mechanical Engineering, University of Missouri-Kansas City) ;
  • Guess, Trent M. (Department of Civil and Mechanical Engineering, University of Missouri-Kansas City)
  • 투고 : 2013.08.06
  • 심사 : 2014.08.05
  • 발행 : 2014.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

Computational multibody models of the elbow can provide a versatile tool to study joint mechanics, cartilage loading, ligament function and the effects of joint trauma and orthopaedic repair. An efficiently developed computational model can assist surgeons and other investigators in the design and evaluation of treatments for elbow injuries, and contribute to improvements in patient care. The purpose of this study was to develop an anatomically correct elbow joint model and validate the model against experimental data. The elbow model was constrained by multiple bundles of non-linear ligaments, three-dimensional deformable contacts between articulating geometries, and applied external loads. The developed anatomical computational models of the joint can then be incorporated into neuro-musculoskeletal models within a multibody framework. In the approach presented here, volume images of two cadaver elbows were generated by computed tomography (CT) and one elbow by magnetic resonance imaging (MRI) to construct the three-dimensional bone geometries for the model. The ligaments and triceps tendon were represented with non-linear spring-damper elements as a function of stiffness, ligament length and ligament zero-load length. Articular cartilage was represented as uniform thickness solids that allowed prediction of compliant contact forces. As a final step, the subject specific model was validated by comparing predicted kinematics and triceps tendon forces to experimentally obtained data of the identically loaded cadaver elbow. The maximum root mean square (RMS) error between the predicted and measured kinematics during the complete testing cycle was 4.9 mm medial-lateral translational of the radius relative to the humerus (for Specimen 2 in this study) and 5.30 internal-external rotation of the radius relative to the humerus (for Specimen 3 in this study). The maximum RMS error for triceps tendon force was 7.6 N (for Specimen 3).

키워드

과제정보

연구 과제 주관 기관 : University of Missouri-Kansas City (UMKC)

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  2. Medial Collateral Ligament Deficiency of the Elbow Joint: A Computational Approach vol.5, pp.4, 2018, https://doi.org/10.3390/bioengineering5040084
  3. Calibrating multibody ulno-humeral joint cartilage using a validated finite element model vol.44, pp.1, 2018, https://doi.org/10.1007/s11044-018-9622-y
  4. Musculoskeletal Model Development of the Elbow Joint with an Experimental Evaluation vol.5, pp.2, 2018, https://doi.org/10.3390/bioengineering5020031