Due to the great challenges of measuring forces directly, identifying dynamic loads based on
accessible responses is a crucial problem in engineering, helping ensure integrity and …

For the inverse problem of structural dynamic load identification, high system ill-posedness
is a main cause leading to instability and low accuracy. In this study, an efficient interpolation …

A new preconditioned modified conjugate gradient algorithm based on improved gradient
operator and preconditioned technology is proposed for moving force identification of bridge …

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 …

Moving force identification (MFI) is an important inverse problem in the field of bridge
structural health monitoring (SHM). Reasonable signal structures of moving forces are rarely …

The classical function expansion method based on minimizing l 2-norm of the response
residual employs various basis functions to represent the unknown force. Its difficulty lies in …

Most previous regularization methods for solving the inverse problem of force reconstruction
are to minimize the l 2-norm of the desired force. However, these traditional regularization …

This paper proposes a new methodology for moving force identification (MFI) from the
responses of bridge deck. Based on the existing time domain method (TDM), the MFI …

The standard sparse regularization method based on l 1-norm minimization for impact force
identification has already proved to be an interesting alternative to the classical …

Impact force identification remains a challenging inverse problem, where a small error in
structural responses may lead to a large deviation in the actual solution. Recently, sparse …