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

With the increased use of composites in aircraft, many new successful contributions to the
advancement of the structural health monitoring (SHM) field for composite aerospace …

The number of bridges worldwide is extensive, making it financially and technically
challenging for the authorities to install a structural health monitoring (SHM) system and …

This paper represents the final part of a sequence on the foundations of Population-Based
Structural Health Monitoring (PBSHM). The previous papers presented detailed analyses of …

This paper addresses value of information, structural health information, and decision
analyses in built environment engineering. Decision analyses are used for the joint …

Abstract Implementing Structural Health Monitoring (SHM) systems with extensive sensing
layouts on all civil structures is obviously expensive and unfeasible. Thus, estimating the …

The sustained development over the past decades of the offshore wind industry has seen
older wind farms beginning to reach their design lifetime. This has led to a greater interest in …

This work explores the application of computer-vision (CV) oriented convolutional neural
networks (CNNs) to the problem of structural damage classification using vibrational-based …

In recent years, the rapid increase in the number of bridges not only brings convenience to
people but also means that more bridges are at potential safety risks. How to quickly and …

Population-based structural health monitoring (PBSHM) seeks to address some of the
limitations associated with data scarcity that arise in traditional structural health monitoring …