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Updated: Jun 14, 2025

Determining the Mechanical Strength of Ultra-Fine-Grained Metals
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人工神经网络模型用于预测含有粗聚合物的经济性超高性能混凝土的机械强度:开发和参数分析

Ling Li1, Yufei Gao1, Xuan Dong1

  • 1School of Civil Engineering and Transportation, Northeast Forestry University, No. 26 Hexing Road, Harbin 150040, China.

Materials (Basel, Switzerland)
|August 29, 2024
PubMed
概括

这项研究使用反向传播的人工神经网络 (BP-ANN) 来预测使用粗聚合物 (UHPC-CA) 的超高性能混凝土的机械性能. 该模型准确地预测了压力和屈曲强度,并推了最佳材料组成,以提高UHPC-CA性能.

关键词:
在UHPC-CA中使用.反向传播的人工神经网络压力和屈曲强度的压力和屈曲强度.参数研究是指参数研究.预测 预测 预测 预测

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