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A Computational Framework for Simulating Patient-Specific TMJ Biomechanics Using a Combined Multibody Dynamics and
Farhad Ahmadi1, Shuchun Sun1,2, Jichao Zhao1
1Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
Annals of Biomedical Engineering
|March 2, 2026
Summary
This study introduces a computational framework to assess temporomandibular joint (TMJ) biomechanics, offering patient-specific insights into joint forces and stresses to aid in diagnosing TMJ disorders.
Area of Science:
- Biomechanics
- Computational modeling
- Orthodontics
Background:
- Temporomandibular joint (TMJ) disorders are linked to joint contact forces and stresses.
- Direct measurement of these biomechanical parameters is currently impractical.
- A computational approach is needed for patient-specific TMJ analysis.
Purpose of the Study:
- To develop and present a computational framework for evaluating TMJ biomechanical parameters.
- To integrate functional assessment with patient-specific modeling.
- To provide a practical method for assessing TMJ health.
Main Methods:
- Acquisition of patient-specific functional and morphological data.
- Development of combined multibody dynamics and finite-element (MBD-FE) models.
- Simulation of patient-specific biting tasks, demonstrated in a pre-/post-orthognathic surgery scenario.
Main Results:
- Surgery led to functional improvements (increased bite force, altered muscle usage) and morphological adaptations.
- Simulations revealed contralateral joint forces exceeding ipsilateral forces during unilateral biting.
- Predicted areas of high disc stress correlated with reduced joint gap and poor congruency, demonstrating morphology-function interactions.
Conclusions:
- The developed framework unifies individualized functional inputs and subject-specific geometries.
- It offers a practical basis for patient-tailored assessment of biomechanical parameters.
- This approach supports clinical decision-making in TMJ care.
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