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Updated: Jun 24, 2025

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
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A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

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使用 (FEM-ML) 方法考虑杆效应的宽浅RC梁切割强度的预测建模

Ahmed A Soliman1, Dina M Mansour2, Ayman H Khalil3

  • 1Structural Engineering & Construction Management Department, Faculty of Engineering & Technology, Future University in Egypt, New Cairo, Egypt.

Scientific reports
|May 31, 2024
PubMed
概括

这项研究使用有限元分析 (FEA) 和机器学习预测宽浅钢筋混凝土梁的剪切强度. 人工神经网络 (ANN) 模型实现了99%的准确性,提供了有价值的工程设计见解.

关键词:
人工神经网络的人工神经网络进化的多项式回归.这是基因编程.机器学习 机器学习浅光束是一种浅光束.剪切能力 剪切能力宽光束是广泛的光束.

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