VIBRATION LOAD IDENTIFICATION OF OFFSHORE PLATFORMS BASED ON NEURAL NETWORK

被引：0

作者：

Ma, Rujian ^{[1
]}

Li, Guixi ^{[1
]}

Lin, Jinshan ^{[1
]}

机构：

[1] Univ Jinan, Sch Control Sci & Engn, Jinan 250022, Shandong, Peoples R China

来源：

OMAE 2009, VOL 2: STRUCTURES, SAFETY AND RELIABILITY | 2009年

关键词：

vibration load; load identification; offshore platform; neural network;

D O I：

暂无

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

The vibration load identification was performed in this paper, where the neural network is introduced in order to overcome the disadvantages of the commonly used method. The first step is to establish a finite element model of the platform using ANSYS software. The training data of neural network is obtained by applying simulation to get response at the identification point of the model. The neural network model of the platform is then set up. The network is trained until the convergence state by using the above data. Finally, the vibration load identification for W12-1 oil production platform is performed using the method, where the measured response data are inputted to the trained network and the identification loads of the platform are obtained. The results indicate that there are more advantages of the method as compared with commonly used load identification method when used for such large and complex structures as offshore platforms and the identification accuracy of the method is satisfactory.

引用

页码：101 / 104

页数：4