一種基于共軛梯度法的動(dòng)態(tài)載荷識(shí)別方法
發(fā)布時(shí)間:2019-05-05 16:39
【摘要】:在載荷識(shí)別過(guò)程中,由于噪聲和結(jié)構(gòu)矩陣病態(tài)的問(wèn)題,對(duì)測(cè)量的響應(yīng)數(shù)據(jù)有影響。本文運(yùn)用共軛梯度法最優(yōu)化方法,來(lái)解決多源動(dòng)態(tài)載荷識(shí)別中的不適定問(wèn)題。將該方法應(yīng)用在加筋板模型和平面桁架結(jié)構(gòu)上進(jìn)行數(shù)值仿真,仿真算例結(jié)果表明所提出的載荷識(shí)別方法在測(cè)量位移響應(yīng)數(shù)據(jù)含有5%的噪聲水平下,有效地得到穩(wěn)定近似解,實(shí)現(xiàn)了載荷識(shí)別。該方法抗噪能力強(qiáng),有效解決反問(wèn)題的不適定性。
[Abstract]:In the process of load identification, the noise and the ill-conditioned structure matrix have influence on the measured response data. In this paper, the conjugate gradient method is used to solve the ill-posed problem in multi-source dynamic load identification. The method is applied to the stiffened plate model and the plane truss structure. The numerical simulation results show that the proposed load identification method can obtain the stable approximate solution effectively under the noise level of 5% in the displacement response measurement data. The load identification is realized. This method has strong anti-noise ability and can effectively solve the ill-posed problem.
【作者單位】: 三峽大學(xué)機(jī)械與動(dòng)力學(xué)院;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(11202116) 三峽大學(xué)人才科研啟動(dòng)基金資助項(xiàng)目(KJ2011B033)
【分類(lèi)號(hào)】:O327
[Abstract]:In the process of load identification, the noise and the ill-conditioned structure matrix have influence on the measured response data. In this paper, the conjugate gradient method is used to solve the ill-posed problem in multi-source dynamic load identification. The method is applied to the stiffened plate model and the plane truss structure. The numerical simulation results show that the proposed load identification method can obtain the stable approximate solution effectively under the noise level of 5% in the displacement response measurement data. The load identification is realized. This method has strong anti-noise ability and can effectively solve the ill-posed problem.
【作者單位】: 三峽大學(xué)機(jī)械與動(dòng)力學(xué)院;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(11202116) 三峽大學(xué)人才科研啟動(dòng)基金資助項(xiàng)目(KJ2011B033)
【分類(lèi)號(hào)】:O327
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 林穗華;黃海;;一個(gè)雙參數(shù)的共軛梯度法簇[J];西南師范大學(xué)學(xué)報(bào)(自然科學(xué)版);2007年06期
2 孫中波;段復(fù)建;;一個(gè)充分下降的共軛梯度法[J];桂林電子科技大學(xué)學(xué)報(bào);2008年05期
3 洪玲;莫利柳;韋增欣;;一個(gè)改進(jìn)的共軛梯度法及其收斂性(英文)[J];數(shù)學(xué)研究與評(píng)論;2009年01期
4 洪玲;莫利柳;陶艷蓉;;具有充分下降性的共軛梯度法及其收斂性[J];福州大學(xué)學(xué)報(bào)(自然科學(xué)版);2009年01期
5 劉東毅;邵琛;;下降對(duì)稱(chēng)的Polak-Ribiere-Polyak共軛梯度法[J];天津大學(xué)學(xué)報(bào);2010年04期
6 鄧小紅;韋增欣;;一個(gè)有充分下降性的共軛梯度法[J];重慶理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2010年06期
7 莫利柳;;一類(lèi)新型的雜交共軛梯度法[J];西南大學(xué)學(xué)報(bào)(自然科學(xué)版);2010年09期
8 孟姍姍;熊麗m,
本文編號(hào):2469731
本文鏈接:http://www.sikaile.net/kejilunwen/lxlw/2469731.html
最近更新
教材專(zhuān)著