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Area of Science:

  • Materials Science
  • Computational Mechanics
  • Mechanical Engineering

Background:

  • Engineering fabrics require robust computational models for predicting mechanical responses.
  • Existing modeling approaches, such as semi-discrete methods, can be computationally intensive.
  • Developing efficient and accurate models is crucial for material design and performance analysis.

Purpose of the Study:

  • To compare two comprehensive modeling approaches for engineering fabrics: semi-discrete and continuum.
  • To establish a fitting procedure for calibrating continuum model parameters using semi-discrete model predictions and experimental data.
  • To validate the effectiveness of the continuum model against experimental data and compare its computational efficiency with the semi-discrete model.

Main Methods:

  • Developed a fitting procedure to identify constitutive parameters of the continuum model from semi-discrete model predictions.
  • Calibrated semi-discrete model parameters using experimental data.
  • Validated the continuum model by comparing its predictions with semi-discrete model predictions and full-field experimental kinematic data (stereoscopic digital image correlation) and force data.
  • Utilized stereoscopic digital image correlation for full-field kinematic data acquisition.

Main Results:

  • Successfully demonstrated a fitting procedure to link semi-discrete and continuum models.
  • Validated the continuum model's predictions against experimental kinematic and force data.
  • Showcased the continuum model's significantly lower computational requirements compared to the semi-discrete model.
  • Confirmed the correspondence between semi-discrete and continuum model predictions on unseen test cases.

Conclusions:

  • The continuum model provides an effective and computationally efficient alternative to the semi-discrete model for analyzing engineering fabrics.
  • The developed fitting procedure enables parameter identification for the continuum model.
  • The continuum model's reduced computational cost facilitates more extensive exploration of fabric mechanical responses.
  • This work advances the computational modeling of textile and composite materials.