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A brain impact stress analysis using advanced discretization meshless techniques.

Marco Marques1, Jorge Belinha1,2, Lúcia Maria Js Dinis1,2

  • 11 Institute of Mechanical Engineering and Industrial Management (INEGI), University of Porto, Porto, Portugal.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
|January 19, 2018
PubMed
Summary

This study compares brain impact mechanics using a novel meshless technique against traditional finite element analysis. Meshless methods show higher convergence and smoother results for realistic brain models.

Keywords:
Computational biomechanicsbrain impactfinite element analysismeshless methodsradial point interpolation method

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Area of Science:

  • Computational mechanics
  • Biomedical engineering
  • Neuroscience

Background:

  • Accurate simulation of brain impact is crucial for understanding traumatic brain injury.
  • Traditional finite element analysis (FEA) has limitations in handling complex geometries and local property variations.

Purpose of the Study:

  • To compare the mechanical behavior of brain impact using an alternative numerical meshless technique.
  • To evaluate the efficacy of the radial point interpolation method (RPIM) against FEA for brain impact simulation.

Main Methods:

  • A discrete geometrical model of a brain was constructed using medical images.
  • Local mechanical properties were defined based on medical image color scale.
  • Essential and natural boundary conditions were imposed to simulate a sudden impact force.
  • Analysis was performed using both finite element analysis (FEA) and the radial point interpolation method (RPIM).

Main Results:

  • Meshless methods, specifically RPIM, demonstrated a higher convergence rate compared to FEA.
  • RPIM produced smoother variable fields in the simulation of brain impact.
  • The meshless technique allowed for discretization with realistic geometry and locally defined mechanical properties.

Conclusions:

  • Meshless methods offer a promising alternative to FEA for simulating brain impact biomechanics.
  • The RPIM provides a more efficient and accurate approach for complex biomechanical simulations involving realistic anatomical structures.