| 基于自回归模型和GA-PNN的海洋平台结构损伤识别研究 |
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| 引用本文： | 刘国栋,贾丹桐,王秋潇,杨元强. 基于自回归模型和GA-PNN的海洋平台结构损伤识别研究[J]. 低温建筑技术, 2021, 43(1): 41-44,57 |
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| 作者姓名： | 刘国栋 贾丹桐 王秋潇 杨元强 |
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| 作者单位： | 青岛理工大学土木工程学院,山东青岛266033;青岛理工大学土木工程学院,山东青岛266033;青岛理工大学土木工程学院,山东青岛266033;青岛理工大学土木工程学院,山东青岛266033 |
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| 摘 要： | 文中基于目前神经网络应用的广泛性和对损伤识别的有效性,提出了以自回归模型系数差为初始特征,并通过基于遗传算法(Genetic Algorithm,GA)优化的概率神经网络(Probabilistic Neural Network,PNN)的识别方法,对海洋平台结构进行损伤位置的识别.数据采用数值模拟中海洋平台支撑杆件在...
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| 关 键 词： | 海洋平台结构 损伤位置识别 自回归模型 GA-PNN |
DAMAGE IDENTIFICATION OF OFFSHORE PLATFORM STRUCTURES BASED ON AUTOREGRESSION MODEL AND GA-PNN |
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| LIU Guodong,JIA Dantong,WANG Qiuxiao,YANG Yuanqiang. DAMAGE IDENTIFICATION OF OFFSHORE PLATFORM STRUCTURES BASED ON AUTOREGRESSION MODEL AND GA-PNN[J]. Low Temperature Architecture Technology, 2021, 43(1): 41-44,57 |
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| Authors: | LIU Guodong JIA Dantong WANG Qiuxiao YANG Yuanqiang |
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| Affiliation: | (School of Civil Engineering Qingdao University of Technology,Shandong Qingdao 266033,China) |
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| Abstract: | This article was based on the widespread application of neural networks and the effectiveness of damage identification.It proposed that the identification method based on Probabilistic Neural Network(PNN)optimized by Genetic Algorithm(GA)was used to identify the damage location of offshore platform structure,and the coefficient difference of autoregression model was taken as the initial characteristic.Then,the acceleration response signals obtained by numerical simulation of the offshore platform support rod under the condition of no damage or damage were used,and then constructed the damage index autoregression model coefficient difference.Finally,GA-PNN was used for training and testing to verify the effectiveness of the identification method. |
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| Keywords: | offshore platform structure damage location identification autoregression model GA-PNN |
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