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Updated: Mar 18, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
Published on: April 11, 2018
A comparison between dynamic implicit and explicit finite element simulations of the native knee joint
Hamid Naghibi Beidokhti1, Dennis Janssen2, Mehdi Khoshgoftar2
1Orthopedic Research Lab, Radboud Institute for Health Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands .
Comparing finite element methods for knee biomechanics, this study found explicit methods efficiently simulate dynamic knee loading, reducing computation time without sacrificing accuracy for cartilage and meniscus predictions.
Area of Science:
- Biomechanics
- Computational modeling
- Orthopedics
Background:
- The finite element (FE) method is crucial for studying knee biomechanics.
- Implicit and explicit time integration algorithms are used for dynamic FE analyses.
- A comparative study of these methods is needed for knee modeling.
Purpose of the Study:
- To compare static, dynamic implicit, and dynamic explicit FE solutions for knee joint analysis.
- To assess prediction of dynamic effects, convergence, accuracy, stability, and computational time.
- To evaluate the influence of mass-scaling in explicit FE formulations.
Main Methods:
- Simulated the heel-strike phase of gait (fast, normal, slow) using a native knee FE model.
- Compared static, dynamic implicit, and dynamic explicit time integration algorithms.
- Investigated the impact of two different body masses on simulation outcomes.
Main Results:
- Ignoring dynamic effects in knee biomechanics simulations can alter joint motion predictions.
- Explicit FE analyses are effective for high-speed knee simulations, significantly reducing computational time.
- Explicit methods provide similar predictions of cartilage stresses and meniscus strains compared to implicit methods.
- Mass-scaling in explicit methods offers further computational time reduction but is not suitable for high-speed activities where inertial forces are significant.
Conclusions:
- Explicit time integration algorithms are well-suited for dynamic knee biomechanics simulations, offering computational efficiency.
- Dynamic effects are important to consider in knee joint modeling for accurate motion prediction.
- Careful consideration of mass-scaling is necessary in explicit FE analyses, especially for high-speed dynamic events.
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