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《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V]

Issue:

2009年04期

Page:

30-33

Research Field:

研究与设计

Publishing date:

Info

Title:

Application of BP neural network in characteristics identification of frame structure

Author(s):

Li Feng Yuan Junshe

Xi'an Aerospace Propulsion Institute，Xi"an 710100，China

Keywords:

frame of rocket motor; stiffness boundary; characteristics identification; BP neu— ral network

PACS:

V434

DOI:

-

Abstract:

Because of the boundary condition uncertainty for the fhme structure of rocket en— gine in establishing the dynamic model of engine，the characteristics of structural stiffness boundary will be identified with neural network in this paper．It would take the modal frequencies of engine inputs，and the X、Y、Z—axis of stiffness boundary as outputs．Then the way of adding training samples improve the learning speed and mapping capability．Finally，the results reach the prospec— tire goal，and the FEM(Finite Element Method)calculations can meet the engineering requirements．

References:

[l]Akihiro Suzuki，Keisuke Kamiya．Identification Technique for Nonlinear Boundary Conditions of a Circular Plate． Journal ofSound and Vibration，2006(289)：130-147．
[2]彭岚，何大鹏，李友荣．基于BP神经网络的工业锅炉 房负荷预测[J]．工业加热，2005，35(5)：31-33．
[3]Chang C C，Chang T Y P，Xu Y G．Adaptive Neural Networks for Model Updating of Structures[J]．Smart Mater．Struet，2000(9)：59-68．
[4]朱曙光，义永光，谭俊杰，刘心志．气体火焰燃烧状态 在线识别和预报[J]．南京理工大学学报：自然科学版， 2008．32(4)：468-471．
[5]Xu Y G，“u G R Adaptive Multilayer Perception Networks for Detection of Cracks in Anisotropie Laminated Plates [J]．International Journal of Solids and Structures，2001 (38)：5625—5645．

Memo

Memo:

-

Common functions

Last Update: 1900-01-01