Structural damage identification based on finite element (FE) model updating has been a
research direction of increasing interest over the last decade in the mechanical, civil …

Vibration based condition monitoring refers to the use of in situ non-destructive sensing and
analysis of system characteristics–in the time, frequency or modal domains–for the purpose …

This article proposes an unsupervised deep learning–based approach to detect structural
damage. Supervised deep learning methods have been proposed in recent years, but they …

Bayesian methods are a powerful tool in many areas of science and engineering, especially
statistical physics, medical sciences, electrical engineering, and information sciences. They …

This article reviews recently developed methods for constitutive parameter identification
based on kinematic full-field measurements, namely the finite element model updating …

A new probabilistic finite element (FE) model updating technique based on Hierarchical
Bayesian modeling is proposed for identification of civil structural systems under changing …

This article presents a brief survey on some of the most relevant developments in the field of
optimization under uncertainty. In particular, the scope and the relevance of the papers …

A Bayesian probabilistic methodology for structural health monitoring is presented. The
method uses a sequence of identified modal parameter data sets to compute the probability …

Research on detecting structural damage at the earliest possible stage has been an
interesting topic for decades. Among them, the vibration-based damage detection method as …

A new simplified approach to modelling cracks in beams undergoing transverse vibration is
presented. The modelling approach uses Euler–Bernoulli beam elements with small …