Accurately capturing data on the external loads that large structural systems endure is
crucial for improving the performance of energy equipment. This paper introduces a novel …

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

To address the problem of poor recognition accuracy of integer-order Tikhonov
regularization method (Tik) in identifying bridge moving loads, a bridge moving load …

Since conventional regularization methods have been constructed in the deterministic
framework, using deterministic regularization methods to address the ill-posedness problem …

The intersection of physics and machine learning has given rise to the physics-enhanced
machine learning (PEML) paradigm, aiming to improve the capabilities and reduce the …

This paper presents the use of spike-and-slab (SS) priors for discovering governing
differential equations of motion of nonlinear structural dynamic systems. The problem of …

Most load identification methods require that the load location is known in advance. A
sparse Bayesian framework is proposed in this study to identify the force location and time …

Random load identification (including load localization and reconstruction) plays a great
significance in structural optimization design and safety evaluation. However, conventional …

Moving force identification (MFI) is an approach aimed at acquiring the time history of
unknown moving loads acting on a bridge, which is actually an inverse problem. The …

Multi-axial flexible manipulators are structures typically employed in the maintenance of
large hydropower equipment such as turbine runners. This kind of multi-process robot was …