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Updated: Jun 15, 2025

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基于神经网络的替代模型,用于优化轻质复合材料可折叠管状杆的扣扣性能

Flavia Palmeri1, Susanna Laurenzi1

  • 1Department of Astronautical Electrical and Energy Engineering, Sapienza University of Rome, Via Salaria 851-881, 00138 Rome, Italy.

Biomimetics (Basel, Switzerland)
|August 28, 2024
PubMed
概括

我们开发了神经网络替代模型,以预测可折叠管状杆 (CTM) 中的曲负载. 这大大加快了优化,超薄的CTM的设计过程,增强了结构完整性.

关键词:
曲行为 曲行为可折叠的管状杆 (CTM) 是一个可折叠的管状杆.轻量级结构结构的轻量级结构.多目标优化 (MOO) 是指多目标优化.基于神经网络 (NN) 的代用模型.

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