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基于B—P神经网络的混凝土软化模型
引用本文:武守信. 基于B—P神经网络的混凝土软化模型[J]. 西南交通大学学报, 1993, 0(6): 57-62
作者姓名:武守信
作者单位:西南交通大学桥梁及地下工程系 成都
摘    要:本文探讨应用神经网络技术模拟材料本构行为的若干问题,并用B-P神经网络建立开裂混凝土的软化模型。

关 键 词:神经网络 混凝土 软化模型

B-P Neural-Network-Based Modeling of Softening Behavior for Cracked Concrete
Wu Shouxin Dept.of Bridge and Underground Eng.,Southwest Jiaotong University,Chengdu ,China. B-P Neural-Network-Based Modeling of Softening Behavior for Cracked Concrete[J]. Journal of Southwest Jiaotong University, 1993, 0(6): 57-62
Authors:Wu Shouxin Dept.of Bridge  Underground Eng.  Southwest Jiaotong University  Chengdu   China
Affiliation:Wu Shouxin Dept.of Bridge and Underground Eng.,Southwest Jiaotong University,Chengdu 610031,China
Abstract:In this paper, some issues about neural-network-based modeling of the constitutive behavior of material are discussed. A neural-network model for softening behavior of cracked concrete is established with B-P neural network.
Keywords:neural network  constitutive behavior  concrete  softening model  
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