This paper is a review on distributed optic fiber sensing for structural health monitoring
applications, with a deeper focus on technologies relying on the Rayleigh backscattering …

In this paper, the transient dynamic response of shear type multi-storey buildings subjected
to earthquake ground motion is generated via adversarial learning technique under different …

The l 1 regularization technique has been developed for structural health monitoring and
damage detection through employing the sparsity condition of structural damage. The …

This paper presents an innovative explicit sensitivity equation for structural parameters
estimation using the time domain data. The proposed exact sensitivity equation provides a …

Sparse Bayesian learning methods have been successfully applied to the community of
structural damage identification, which commonly assumes that the uncertainties from …

This paper presents a robust model updating strategy for correcting finite element models
from datasets acquired in low-frequency dynamics. The proposed methodology is based on …

An effective and reliable approach to updating finite element (FE) models of real structures is
to utilize a sensitivity‐based strategy. A challenging issue concerning the sensitivity‐based …

Structural model updating (SMU) by sensitivity analysis is a reliable and successful
approach to adjusting finite element models of real structures by modal data. However …

Even though many innovative methods have been proposed more recently, traditional
sensitivity-based methods are still widely used for model updating and damage …

The input force is usually difficult to measure directly in the damage identification due to the
system uncertainty and noise uncertainty. A Bayesian method for the simultaneous …