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 …

In engineering practice, localization and reconstruction of external excitations is a tough
problem in absence of prior knowledge. Traditional regularization approaches require …

This paper introduces a fully Bayesian approach to the Force Analysis Technique (FAT),
which aims at identifying sparse vibratory sources from displacement measurements. Being …

In time domain force reconstruction problems, regularization techniques are widely adopted
to solve the intrinsic ill-posedness or ill-conditioning. Different techniques are selected for …

Traditional force reconstruction techniques require prior knowledge on the force nature to
determine the regularization term. When such information is unavailable, the inappropriate …

Traditional time domain force identification methods require prior knowledge about the force
profile to apply the appropriate regularization term. Generally speaking, ℓ 1 and ℓ 2 …

Locations and amplitudes of external forces are essential information for design, loading
assessment, and health monitoring of structures. In this paper, we propose an original time …

When structural dynamic design for smart control and health monitoring is executed,
imposed excitations on structures are one of most important issues in structural engineering …

Identification of structural parameters can be cast as the process of solving an inverse
problem, in which regularization may be required when the problem is ill-posed. Bayesian …

A time domain force identification approach for linear system is proposed. This approach
can found a highly precise force identification model within the scope of general computer …