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Updated: Sep 16, 2025

Surrogate Model Development for Digital Experiments in Welding
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使用RBF神经网络和NSGA-II算法结合的方法对环氧结合的CF/QF-BMI复合接头进行参数研究

Xiaobo Yang1, Xingyu Zou1, Jingyu Zhang1

  • 1College of Mechanical and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

Polymers
|July 12, 2025
PubMed
概括

这项研究利用机器学习和遗传算法优化了碳纤维和石英纤维复合材料之间的环氧结合. 新的设计方法提高了拉力和剪切强度,分别超过16%和11%.

关键词:
这是NSGA-II算法.机器学习RBF神经元机器学习碳纤维增强 bismaleimide 复合材料的复合材料环氧结合的联合关节.有限元素模拟模型的模拟模型石英纤维增强的双胺复合材料.拉力和剪切强度的强度.

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