| 用于本构模型的新的神经网络 |
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| 引用本文： | 赵启林,王思敬,金广谦,Hu Yeping. 用于本构模型的新的神经网络[J]. 岩石力学与工程学报, 2003, 22(9): 1448-1453 |
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| 作者姓名： | 赵启林 王思敬 金广谦 Hu Yeping |
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| 作者单位： | [1]EngineeringInstituteofEngineeringCorps,PLAUniv.ofSci.andTech.,Nanjing210007China [2]HohaiUniversity,Nanjing210098China |
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| 摘 要： | In this paper, a new neural network is developed to connect FE analysis with the feed-forward neural network.With this new neural network, the constitutive model of material may be determined from the information of nodal‘s force and displacement. In this methodology, the stage which takes long time to obtain stress and strain by FE analysis is prevented.
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| 关 键 词： | 建筑学 本构模型 神经网络 FEM |
NEW NEURAL NETWORK FOR CONSTITU- TIVE MODELING |
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| Zhao Qilin,Wang Sijin,Jin Guangqian,Hu Yeping. NEW NEURAL NETWORK FOR CONSTITU- TIVE MODELING[J]. Chinese Journal of Rock Mechanics and Engineering, 2003, 22(9): 1448-1453 |
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| Authors: | Zhao Qilin Wang Sijin Jin Guangqian Hu Yeping |
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| Abstract: | In this paper,a new neural network is developed to connect FE analysis with the feed-forward neural network. With this new neural network,the constitutive model of material may be determined from the information of nodal's force and displacement. In this methodology,the stage which takes long time to obtain stress and strain by FE analysis is prevented. |
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| Keywords: | neural network constitutive relation constitutive modeling FEM |
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