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Modeling the tendon-bone dynamic interaction while wrapping and unwrapping using bond graph.

Arvind Kumar Pathak1, Anand Vaz1

  • 1Department of Mechanical Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India.

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Summary
This summary is machine-generated.

This study presents a new computational model for simulating how tendons and ligaments interact with bones during movement. The framework accurately captures complex biomechanical forces, enhancing our understanding of joint motion.

Keywords:
Wrapping and unwrapping of tendon/ligamentbond graphmodeling and simulationperiosteum layersoft contact mechanics

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Area of Science:

  • Biomechanics
  • Computational Modeling
  • Musculoskeletal System

Background:

  • Tendon and ligament dynamics around bones are crucial for joint motion and force transmission.
  • Accurate modeling of these interactions, especially on irregular bone surfaces, remains challenging.
  • Existing models often simplify the complex material properties and geometric interactions.

Purpose of the Study:

  • To develop and validate a novel computational framework for simulating tendon-bone and ligament-bone interactions.
  • To accurately model the dynamic wrapping and unwrapping of soft tissues around complex bone geometries.
  • To investigate the influence of these interactions on tendon stretch, bone-periosteum contact forces, and joint mechanics.

Main Methods:

  • Utilized 3D point cloud data for bone geometry, enveloped by a soft periosteum layer with nonlinear stiffness and damping.
  • Represented tendons/ligaments as elastic strings with distributed point masses and nonlinear properties.
  • Employed multibond graph submodels to capture coupled dynamics between tendon, periosteum, and bone.
  • Performed simulations in both planar and 3D scenarios.

Main Results:

  • The developed framework successfully simulated the dynamic wrapping and unwrapping of soft tissues around irregular bone surfaces.
  • The model demonstrated robustness in capturing coupled biomechanical interactions.
  • Simulations provided quantitative insights into tendon stretch, contact forces, and joint motion.

Conclusions:

  • The novel multibond graph framework offers a robust and accurate method for modeling tendon-bone and ligament-bone interactions.
  • This approach enhances understanding of musculoskeletal biomechanics and joint mechanics.
  • The model provides a valuable tool for future research in sports injury, rehabilitation, and surgical planning.