基于神经网络的空间桁架结构损伤三重识别

英文篇名：A Three-step Damage Identification Approach Based on Neural Network for Space Truss Structure
中文刊名：佳木斯大学学报(自然科学版)
英文刊名：Journal of Jiamusi University(Natural Science Edition)
作者：马俊
英文作者：MA Jun(Department of Building Engineering ; Tongji University ; Shanghai 200092 ; China)
中文关键词：空间钢桁架 ; 神经网络 ; 三重识别 ; 损伤识别
英文关键词：space steel truss ; neural network ; three-step identification ; damage identification
出版日期：2010-03-15
机构：同济大学建筑工程系;
年：2010
期：02
出版单位：佳木斯大学学报(自然科学版)

摘要

以一72杆空间钢桁架为例进行桁架结构损伤三重识别.考虑单损伤工况与双损伤工况,通过ANSYS软件建模得到结构在无损与损伤工况下的固有频率,运用神经网络进行结构损伤定位与损伤程度确定.首先识别损伤层,然后识别损伤层中的损伤杆件,最后识别损伤杆件的损伤程度.结果表明该方法用于桁架结构损伤识别是可行的.
A three-step damage identification approach is carried out on a 72-truss space structure.The model is built up by ANSYS in order to get the natural frequencies in healthy and damage conditions.The single-damage condition and double-damage condition are considered.Neural network is adopted to determine the location and the extent of damage.The first step is to determine the damage layer,then to determine the damage member in the damage layer,and the last step is to determine the extent of damage.The results illustrate that the three-step damage identification approach is efficient in damage identification of truss structure.

引文

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