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

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第一作者： Flavia,Palmeri

第一单位： Department of Astronautical Electrical and Energy Engineering, Sapienza University of Rome, Via Salaria 851-881, 00138 Rome, Italy.

作者： Flavia,Palmeri ^[1] ; Susanna,Laurenzi ^[1]

作者单位： Department of Astronautical Electrical and Energy Engineering, Sapienza University of Rome, Via Salaria 851-881, 00138 Rome, Italy. ^[1]

关键词 buckling behavior collapsible tubular mast (CTMs)lightweight structures multi-objective optimization (MOO)neural network (NN)-based surrogate models

DOI 10.3390/biomimetics9080494

PMID 39194473

发布时间 2024-08-30

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Biomimetics (Basel, Switzerland)

2024年9卷8期

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

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

Biomimetics (Basel, Switzerland)

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Biomimetics (Basel, Switzerland)

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