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Related Experiment Video

Updated: May 13, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

A study of breast motion using non-linear dynamic FE analysis.

Li-Hua Chen¹, Sun-Pui Ng, Winnie Yu

¹College of Mechanical Engineering, Beijing University of Technology, Beijing, 100124, PR China.

|March 22, 2013

Summary

This summary is machine-generated.

This study developed a 3D dynamic finite element model (FEM) to simulate non-linear breast motion. The model accurately predicts breast displacement, aiding in the ergonomic design of bras for improved women's health and comfort.

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Last Updated: May 13, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

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Published on: August 30, 2016

Area of Science:

Biomechanics
Biomedical Engineering
Finite Element Analysis

Background:

Understanding non-linear breast motion is crucial for designing supportive undergarments.
Existing models may not fully capture the complex mechanical properties of breast tissue.

Purpose of the Study:

To develop a 3D dynamic finite element model (FEM) for simulating non-linear breast motion.
To establish a basis for the ergonomic engineering of bras.

Main Methods:

A three-dimensional (3D) dynamic finite element model (FEM) was created, incorporating a thorax, two breasts, and three skin layers.
Mechanical properties, including viscous damping ratios and shear modulus, were derived from experimental data.
A hyper-elastic neo-Hookean material model was employed to simulate large deformations.

Main Results:

Viscous damping ratios were determined to be 0.215 for an 80B size breast.
The shear modulus was identified as the value minimizing the difference between FEM predictions and experimental data.
The highest breast displacement amplitude relative to the thorax occurred at 4 Hz.

Conclusions:

The finite element model (FEM) accurately predicts breast displacement.
This methodology provides a foundation for developing ergonomically engineered bras.
The findings have potential benefits for women's health and comfort through improved product design.