In this paper, a novel impact load identification method of nonlinear structures by using deep
Recurrent Neural Network (RNN) is proposed. The deep RNN model, mainly consisting of …

Instead of traditional Tikhonov regularization, sparse regularization methods like ℓ 1
regularization have been a popular choice for impact force identification because it can …

The accurate real-time characterization of impact event is vital during the life-time of a
mechanical product. However, the identified impact force may seriously diverge from the real …

Load identification, as a kind of indirect identification method, uses system characteristic and
responses to calculate loads. A method based on wavelet multi-resolution analysis is …

For force identification, the solution may differ from the desired force seriously due to the
unknown noise included in the measured data, as well as the ill-posedness of inverse …

Force identification is a classical inverse problem, in which the measured data and the
mathematical models of mechanical structures are used to determine the applied force …

A novel procedure to identify an impact load is proposed, that acts on a nonlinear system; an
inverse identification problem is formulated from the dynamic responses of the system …

In this paper, we study the Levenberg–Marquardt algorithm with the trust region strategy to
iteratively solve the ill-posed impact-force reconstruction problem. This particular problem is …

The knowledge of the real forces acting on a structure are of great importance in the
condition assessment process of existing structures. In this sense, this work provides a novel …

与动态载荷识别的频域方法相比, 时域方法不仅适用于线性系统, 还适用于非线性系统以及能
有效处理瞬态冲击激励的识别问题, 近年来时域方法愈发受到学者们的关注 …