Tuning structural dynamics through architected inner material designs: Numerical, experimental, and machine learning analysis

Tuning structural dynamics through architected inner material designs: Numerical, experimental, and machine learning analysis

Architected materials and structures have garnered significant interest due to their potential to furnish mechanical performances beyond the bounds of customary designs. The present work investigates the flexural and modal response of Triply Periodic Minimal Surface (TPMS)-based architected beam str...

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Bibliographic Details
Main Authors: Irfan Ul Hassan, Agyapal Singh, Dimitrios C. Rodopoulos, Alexander Morawietz, Andrea Bergamini, Nikolaos Karathanasopoulos
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Materials & Design
Subjects:
Flexural response
TPMS
Additive manufacturing
Modal analysis
Machine learning
Explainability
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127525006045
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