南京航空航天大学学报2024,Vol.56Issue(3) :561-570.DOI:10.16356/j.1005-2615.2024.03.019

分布动载荷时域识别的动标定试验方法

Research on Dynamic Calibration Experiment of Distributed Dynamic Load Identification in Time-Domain

陈奥辉 姜金辉
南京航空航天大学学报2024,Vol.56Issue(3) :561-570.DOI:10.16356/j.1005-2615.2024.03.019

分布动载荷时域识别的动标定试验方法

Research on Dynamic Calibration Experiment of Distributed Dynamic Load Identification in Time-Domain

陈奥辉 1姜金辉1
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作者信息

  • 1. 南京航空航天大学航空航天结构力学及控制全国重点实验室,南京 210016
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摘要

在工程应用中,作用于工程结构上的载荷多为分布载荷,因此分布载荷识别技术一直备受关注.动标定技术通过建立载荷与响应之间的关系识别载荷,传统动标定方法根据有限元仿真获得标定矩阵,识别结果受到模型误差影响.基于Gauss-Legendre积分将无限维的动标定转换为有限维的动标定,通过傅里叶逆变换和卷积积分得到时域标定矩阵,对施加于结构上的分布载荷进行时域识别,并用仿真验证了该方法的有效性和高精度.在响应中加入噪声,考察该方法的抗噪性,并与传统仿真标定方法进行对比,并讨论了不同高斯点总数对识别精度的影响.

Abstract

In engineering applications,the loads acting on engineering structures are mostly distributed loads,so distributed load identification technology has always attracted much attention.The dynamic calibration technology identifies the load by establishing the relationship between the load and the response,and the traditional dynamic calibration method obtains the calibration matrix according to the finite element simulation,and the recognition results are affected by the model error.Based on the Gauss-Legendre integral,the infinite-dimensional dynamic calibration is converted into the finite-dimensional dynamic calibration,the time-domain indexing matrix is obtained through inverse Fourier transform and convolutional integration,the time-domain identification of the distributed load applied to the structure is carried out,and the effectiveness and high accuracy of the proposed method are verified by simulation.The noise is added to the response to test the noise resistance of the method,and compared with the traditional simulation calibration method.And the influence of the total number of Gaussian points on the recognition accuracy is discussed.

关键词

分布载荷识别/试验动标定/Gauss-Legendre积分/正交多项式/时域

Key words

distributed load identification/experimental dynamic calibration/Gauss-Legendre integral/orthogonal polynomial/time domain

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出版年

2024
南京航空航天大学学报
南京航空航天大学

南京航空航天大学学报

CSTPCD北大核心
影响因子:0.734
ISSN:1005-2615
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