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Related Concept Videos

Mesh Analysis01:20

Mesh Analysis

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Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
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Related Experiment Video

Updated: Feb 20, 2026

Imaging of the Microstructural Failure Mechanism in the Human Hip
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High-quality mesh generation for human hip based on ideal element size: methods and evaluation.

Monan Wang1, Jian Gao1, Xinyu Wang1

  • 1a Mechanical & Power Engineering College , Harbin University of Science and Technology , Harbin , China.

Computer Assisted Surgery (Abingdon, England)
|October 24, 2017
PubMed
Summary

This study introduces an improved edge-collapse algorithm for generating high-quality human hip meshes, enhancing accuracy and geometric feature preservation for finite-element analysis.

Keywords:
Delaunay algorithmHuman hipadvancing-front techniquehigh-quality meshmodel simplification

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Area of Science:

  • Computational geometry
  • Biomedical engineering
  • Finite element analysis

Background:

  • Accurate mesh generation is crucial for reliable finite-element analysis (FEA) of complex anatomical structures like the human hip.
  • Existing meshing techniques can struggle with preserving geometric features and avoiding error accumulation in intricate models.

Purpose of the Study:

  • To develop and validate a novel algorithm for generating high-quality surface and volume meshes of the human hip.
  • To improve the accuracy and geometric fidelity of hip models for FEA.

Main Methods:

  • An edge-collapse algorithm utilizing quadric error metrics was employed for hip model simplification.
  • Adjacent triangular areas and a cost function were introduced to prevent error accumulation and maintain geometric features.
  • A comprehensive size field facilitated local mesh refinement, and the advancing-front technique (AFT) and Delaunay algorithms were used for final mesh generation.

Main Results:

  • The proposed method generated meshes with smallest angles greater than 45°, outperforming AFT algorithms in optimal angle distribution.
  • Femoral and vastus lateralis meshing results showed improved accuracy and element quality compared to AFT and Hypermesh.
  • The algorithm demonstrated superior adaptability to complex models, producing uniform meshes with smooth transitions that closely matched original geometry.

Conclusions:

  • The developed meshing technique provides high-quality, accurate, and geometrically invariant meshes for human hip models.
  • The method enhances mesh quality and adaptability, proving significant for the convergence and reliability of finite-element analysis programs.