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Related Experiment Video

Updated: Jul 9, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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Development of a three-dimensional muscle-driven lower limb model developed using an improved CFD-FE method.

Luming Feng1, Qinglin Duan1,2, Rongwu Lai2

  • 1DUT-BSU Joint Institute, Dalian University of Technology, Dalian, China.

Computer Methods in Biomechanics and Biomedical Engineering
|November 29, 2023
PubMed
Summary
This summary is machine-generated.

A new 3D muscle modeling technique enables reliable in silico gait analysis. This computational approach simulates lower limb movements, overcoming challenges of in vivo studies for enhanced human simulation.

Keywords:
Lower limb movementactive contractionexplicit finite elementfiber-reinforced hyperelastic musculoskeletal modelmuscle-driven simulation

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Area of Science:

  • Biomechanics
  • Computational modeling
  • Musculoskeletal system

Background:

  • In vivo gait analysis faces challenges with subject recruitment and long experimental durations.
  • Existing in silico methods lack efficiency and reliability for comprehensive gait analysis.

Purpose of the Study:

  • To develop an efficient and reliable in silico simulation platform for musculoskeletal movement analysis.
  • To introduce a novel 3D muscle modeling technique to drive musculoskeletal models for gait simulation.

Main Methods:

  • A high-fidelity 3D finite element model of the lower limb was created from MRI data.
  • An active, fiber-reinforced hyperelastic muscle model (VUMAT) was developed to simulate 3D muscle behavior.
  • Simulations of hip abduction and knee lifting were performed by activating relevant muscles.

Main Results:

  • The improved CFD-FE method accurately simulates active muscle contraction.
  • Simulated lower limb movements closely matched physiological scenarios.
  • The developed technique demonstrates feasibility for in silico human movement simulation.

Conclusions:

  • The novel 3D muscle modeling technique is effective for simulating musculoskeletal movements.
  • This approach offers a reliable and efficient alternative to in vivo gait analysis.
  • The technique holds significant potential for advanced in silico human simulation platforms.