一种基于共轭梯度法的动态载荷识别方法
发布时间：2019-05-05 16:39
【摘要】：在载荷识别过程中,由于噪声和结构矩阵病态的问题,对测量的响应数据有影响。本文运用共轭梯度法最优化方法,来解决多源动态载荷识别中的不适定问题。将该方法应用在加筋板模型和平面桁架结构上进行数值仿真,仿真算例结果表明所提出的载荷识别方法在测量位移响应数据含有5%的噪声水平下,有效地得到稳定近似解,实现了载荷识别。该方法抗噪能力强,有效解决反问题的不适定性。
[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.
【作者单位】： 三峡大学机械与动力学院;
【基金】：国家自然科学基金资助项目(11202116) 三峡大学人才科研启动基金资助项目(KJ2011B033)
【分类号】：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.
【作者单位】： 三峡大学机械与动力学院;
【基金】：国家自然科学基金资助项目(11202116) 三峡大学人才科研启动基金资助项目(KJ2011B033)
【分类号】：O327
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