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神经网络技术在土木结构健康监测中的应用
引用本文:杜德润,仇德伦,李爱群,王修信.神经网络技术在土木结构健康监测中的应用[J].无损检测,2004,26(8):383-387.
作者姓名:杜德润  仇德伦  李爱群  王修信
作者单位:1. 东南大学,土木工程学院,南京,210096
2. 青岛电力设计院,青岛,266002
3. 东南大学,RC&PC结构教育部重点实验室,南京,210096
摘    要:结构损伤诊断子系统是建立结构智能健康监测专家系统的核心问题。采用人工神经网络技术可以实现结构损伤的自动识别与定位,具有广阔的应用前景。介绍了基于人工神经网络的两级损伤识别策略,并对采用人工神经网络进行结构损伤诊断的网络输入参数与网络结构选择等关键问题进行了探讨。

关 键 词:健康监测  损伤诊断  神经网络  动力特性  概率神经网络
文章编号:1000-6656(2004)08-0383-05
修稿时间:2004年5月26日

APPLICATION OF ARTIFICIAL NEURAL NETWORK ON STRUCTURAL HEALTH MONITORING IN CIVIL ENGINEERING
DU De-run,QIU De-lun.APPLICATION OF ARTIFICIAL NEURAL NETWORK ON STRUCTURAL HEALTH MONITORING IN CIVIL ENGINEERING[J].Nondestructive Testing,2004,26(8):383-387.
Authors:DU De-run  QIU De-lun
Affiliation:DU De-run,QIU De-lun~
Abstract:The sub-system of structural health diagnosis is key part of the intelligent health monitoring expert system for large-scale structures. The occurrence and location of the damage may be indicated automatically by the technology of damage identification with artificial neural network, so the technology has bright prospect. The two-step identification strategy based on neural network is introduced. At the same time, the choices of input parameters for networks and of the network constructions for networks that are the important problems in structural damage diagnosis with artificial neural network have been discussed.
Keywords:Health monitoring  Damage diagnosis  Artificial neural network  Dynamical characteristic  Probabilistic neural network
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