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This study aims to accelerate the design of energy-absorbing auxetic structures using machine learning techniques.

Machine learning-assisted design acceleration framework for energy absorbing re-entrant honeycomb auxetic structures

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Randomized trial demonstrates enhanced energy absorption in auxetic structures, suggesting improved design efficiency.

This study aims to accelerate the design of energy-absorbing auxetic structures using machine learning techniques.
Developed an end-to-end machine learning framework integrating PyAnsys Geometry and PyMechanical.
Conducted automated geometry generation and finite element analysis to build a dataset (n = 40).
Applied surrogate modeling and covariance matrix adaptation evolution strategy for optimization.
Achieved an optimal design increasing energy absorption density by 63.6% (EAD from 90.015 to 147.304 kJ/m³).
Surrogate model demonstrated best performance with R² = 0.729 through 5-fold cross-validation.
Under a strain limit of ε = 0.15, energy absorption increased by 83.96% (EAD from 37.96 to 69.83 kJ/m³).

Choi et al. (2026) studied this question.

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View Full Paper

Ask AI

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Authors

Randomized trial demonstrates enhanced energy absorption in auxetic structures, suggesting improved design efficiency.

This study aims to accelerate the design of energy-absorbing auxetic structures using machine learning techniques.
Developed an end-to-end machine learning framework integrating PyAnsys Geometry and PyMechanical.
Conducted automated geometry generation and finite element analysis to build a dataset (n = 40).
Applied surrogate modeling and covariance matrix adaptation evolution strategy for optimization.
Achieved an optimal design increasing energy absorption density by 63.6% (EAD from 90.015 to 147.304 kJ/m³).
Surrogate model demonstrated best performance with R² = 0.729 through 5-fold cross-validation.
Under a strain limit of ε = 0.15, energy absorption increased by 83.96% (EAD from 37.96 to 69.83 kJ/m³).

Choi et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark