Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

The functional model–based method is a unique vibration-based approach to damage
localization and magnitude estimation in structures under normal operation, capable of …

This paper describes a methodology for the design of a model-based diagnostic unit. The
objective of the work is to define a suitable procedure for the design and verification of …

The problem of random-vibration-based damage diagnosis, including detection and
localization, for a lab–scale aircraft stabilizer structure is addressed. Diagnosis is based on …

Structural health monitoring (SHM) is a key factor for the correct operation in large
dimension structures. In this paper, we propose and demonstrate the application of a …

In the task of locating and quantifying damage in beams from experimentally-obtained
modal data, one-dimensional models are attractive due to their simplicity and apparent …

Computational mechanics is a useful tool in the structural health monitoring community for
accurately predicting the mechanical performance of various components. However, high …

This study focuses on the problem of vibration-based damage precise localization via data-
based, time series type, methods for structures consisting of 1D, 2D, or 3D elements. A …

Structural health monitoring (SHM) involves continuously surveilling the performance of
structures to identify progressive damage or deterioration that might evolve over time …

This paper presents a two-step method for the identification of additional masses in beam
structures. In the first step, relative natural frequency change (RNFC) curves are developed …