Computational biomechanics for a standing human body: Modal analysis and simulation

Area of Science:

• Computational Biomechanics
• Human Motion Analysis
• Finite Element Analysis

Background:

• Human motion studies are critical for ergonomics, sports science, and understanding aging populations.
• Existing lumped parameter models offer limited fidelity in simulating complex human dynamics.
• A continuum mechanics approach provides a more anatomically accurate representation of the human body.

Purpose of the Study:

• To develop and present a continuum-based computational mechanical modeling method for human body motion.
• To analyze and simulate human body motions, including vibrations and dynamic movements.
• To compare continuum model results with existing digital models using LS-DYNA.

Main Methods:

• Utilized two digital CAD models of standing human mannequins (LS-DYNA and open-source).
• Employed modal analysis on a linear elastodynamic model to determine normal vibration modes.
• Simulated dynamic motions using drop tests and validated models via Fourier frequency analysis.

Main Results:

• Identified intrinsic biomechanical modes of human motion and vibration from low-frequency analysis.
• Characterized upright walking as a spontaneous, low-frequency mode involving coordinated limb movements.
• Visualized computed modes through video animations and provided LS-DYNA code samples for reproducibility.

Conclusions:

• The continuum modeling approach offers a more faithful representation of human biomechanics.
• Modal analysis effectively captures fundamental modes of human motion, including locomotion.
• This method provides a powerful tool for analyzing human movement in various applications.