A new conjugate gradient method for moving force identification of vehicle–bridge system
C Luo, L Wang, Y Xie, B Chen - Journal of Vibration Engineering & …, 2024 - Springer
A new preconditioned modified conjugate gradient algorithm based on improved gradient
operator and preconditioned technology is proposed for moving force identification of bridge …
operator and preconditioned technology is proposed for moving force identification of bridge …
Moving force identification based on redundant concatenated dictionary and weighted l1-norm regularization
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 …
structural health monitoring (SHM). Reasonable signal structures of moving forces are rarely …
Sparse regularization for force identification using dictionaries
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 …
residual employs various basis functions to represent the unknown force. Its difficulty lies in …
Non-model based expansion from limited points to an augmented set of points using Chebyshev polynomials
Expansion of measured dynamic response at a limited set of points is of great interest in the
study of structural dynamic systems. Measurements at limited points on a structure can be …
study of structural dynamic systems. Measurements at limited points on a structure can be …
Sparse deconvolution for the large-scale ill-posed inverse problem of impact force reconstruction
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 …
are to minimize the l 2-norm of the desired force. However, these traditional regularization …
An enhanced sparse regularization method for impact force identification
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 …
identification has already proved to be an interesting alternative to the classical …
Moving force identification based on learning dictionary with double sparsity
Moving force identification (MFI) is essential for the bridge safety as it is one of the major
loads acting on the bridge deck. MFI techniques based on force dictionary are promising …
loads acting on the bridge deck. MFI techniques based on force dictionary are promising …
Impact-force sparse reconstruction from highly incomplete and inaccurate measurements
The classical l 2-norm-based regularization methods applied for force reconstruction inverse
problem require that the number of measurements should not be less than the number of …
problem require that the number of measurements should not be less than the number of …
Data consistency assessment function (DCAF)
Abstract A Data Consistency Assessment Function (DCAF) is developed to check the
consistency of a measurement or set of measurements to all of the data in the entire data set …
consistency of a measurement or set of measurements to all of the data in the entire data set …
A feature learning-based method for impact load reconstruction and localization of the plate-rib assembled structure
T Chen, L Guo, A Duan, H Gao… - Structural Health …, 2022 - journals.sagepub.com
Impact load is the load that machines frequently experienced in engineering applications. Its
time-history reconstruction and localization are crucial for structural health monitoring and …
time-history reconstruction and localization are crucial for structural health monitoring and …