This work proposes a novel supervised learning approach to identify damage in operating
bridge structures. We propose a method to introduce the effect of environmental and …

Sensitivity-based methods by the model updating strategy are still influential and reliable for
structural damage detection. The major issue is to utilize a well-established sensitivity …

N. Wan, M. Huang & Y. Lei under high uncertainties, which means the introduction of the
physics-based loss function significantly enhances the parameters updating ability of the …

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 …

A new sensitivity-based damage detection method is proposed to identify and estimate the
location and severity of structural damage using incomplete noisy modal data. For these …

The present work is associated with Bayesian finite element (FE) model updating using
modal measurements based on maximizing the posterior probability instead of any sampling …

Finite element (FE) model updating using measured dynamic data has gained much
attention in view of its contribution towards important areas like model-correction, structural …

The Bayesian model updating approach (BMUA) has been widely used to update structural
parameters using modal measurements because of its powerful ability to handle …

Substructuring methods are efficient to estimate some lowest eigensolutions and
eigensensitivities of large-scale structural systems by representing the global eigenequation …

This paper presents a comparative study about the numerical and experimental system
identification and model updating‐based automated damage detection of concrete‐encased …