Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …

Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …

Structural health monitoring (SHM) techniques have been studied for several years. An
effective approach for SHM is to choose the parameters that are sensitive to the damage …

Rapid detecting damages/defeats in the large-scale civil engineering structures, assessing
their conditions and timely decision making are crucial to ensure their health and ultimately …

Smart structural health monitoring (SHM) for large-scale infrastructure is an intriguing
subject for engineering communities thanks to its significant advantages such as timely …

The goal of this article is to detect structural damage in the presence of operational and
environmental variations using vibration-based damage identification procedures. For this …

This paper presents four kernel-based algorithms for damage detection under varying
operational and environmental conditions, namely based on one-class support vector …

Signal Processing is, arguably, the fundamental enabling technology for vibration-based
Structural Health Monitoring (SHM), which includes damage detection and more advanced …

In analyzing and assessing the condition of dynamical systems, it is necessary to account for
nonlinearity. Recent advances in computation have rendered previously computationally …

The aim of this article is to propose novel damage indices for damage localization and
quantification based on time series modeling. In order to extract damage-sensitive features …