门式刚架的振动损伤识别方法研究

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英文篇名：Reseach on portal steel frame's damage indentification methods by vibrations 中文刊名：内蒙古科技大学学报 英文刊名：Journal of Inner Mongolia University of Science and Technology 作者：贾宏玉 ; 郝宏伟 ; 岳鹏飞 英文作者：JIA Hong-yu1 ; 2 ; HAO Hong-wei3 ; YUE Peng-fei1(1.Architecture and Civil Engineering School ; Inner Mongolia University of Science and Technology ; Baotou 014010 ; China ; 2.College of Aerospace Engineering ; NUAA ; Nanjing 210016 ; China ; 3.School of Civil Engineering ; Xi'an University of Architecture and Technology ; Xi an 710055 ; China) 中文关键词：门式刚架 ; 损伤识别 ; 固有频率变化 ; BP神经网络 英文关键词：portal steel frame ; damage identification ; change of natural frequencies ; BP neural network 出版日期：2011-09-15 机构：内蒙古科技大学建筑与土木工程学院;南京航空航天大学宇航学院;西安建筑科技大学土木工程学院; 年：2011 期：03 出版单位：内蒙古科技大学学报

摘要

应用ANSYS建立槽型截面门式刚架无损伤和有损伤模型,求解无损伤和有损伤情况下的门式刚架固有频率.应用Matlab软件作出门式刚架无损伤时和有损伤时频率变化的对比曲线图.采用BP神经网络对损伤识别和定位进行模拟研究,使神经网络能够通过固有频率识别出相应的损伤位置和程度.仿真结果显示,BP神经网络用于结构损伤识别有很大优势.
The no-damage model and various damage models of channel section portal steel frame were established using the software ANSYS,and their natrual frequencies were solved.The changes of natural frequencies curves of no-damage model in contrast with various damage models were ploted with the software Matlab.The simulation research was carried out on damage identification and location by BP neural network,and it is concluded that the neural network can identify the position and the degree of damage by natural frequencies.The simulated results proved the advantage of using BP neural network for identifying the damage of the structure.

引文

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