Neural Network-Based Surrogate Modeling for Buckling Performance Optimization of Lightweight-Composite Collapsible Tubular Masts

Neural Network-Based Surrogate Modeling for Buckling Performance Optimization of Lightweight-Composite Collapsible Tubular Masts

The collapsible tubular mast (CTM) can be compactly folded for transport and deployed in orbit to serve as a key structural element. Once deployed, the CTM is vulnerable to buckling under axial load and bending moments, compromising its load-bearing capacity. The intricate relationship between the C...

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Bibliographic Details
Main Authors: Flavia Palmeri, Susanna Laurenzi
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Biomimetics
Subjects:
lightweight structures
collapsible tubular mast (CTMs)
buckling behavior
neural network (NN)-based surrogate models
multi-objective optimization (MOO)
Online Access:https://www.mdpi.com/2313-7673/9/8/494

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https://www.mdpi.com/2313-7673/9/8/494

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