Structural health monitoring (SHM) has become an important and hot topic for decades in
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …

Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

Abstract Fiber Optic Shape Sensing is an innovative Optical Fiber Sensing Technology that
uses a fiber optic cable to continuously track the 3D shape and position of a dynamic object …

Abstract Structural Health Monitoring (SHM) systems provide a useful tool to diagnose any
engineered structural system and eventual critical damage that may occur at any moment …

Structural damage detection has been an interdisciplinary area of interest for various
engineering fields. While the available damage detection methods have been in the process …

Much research has been conducted in prognostics and health management (PHM), an
emerging field in mechanical engineering that is gaining interest from both academia and …

There are a large number of time domain, frequency domain and time-frequency signal
processing methods available for univariate feature extraction. However, there is no …

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 …

Stated in its most basic form, the objective of structural health monitoring is to ascertain if
damage is present or not based on measured dynamic or static characteristics of a system to …

Structural systems are under deterioration due to ageing, mechanical stressors, and harsh
environment, among other threats. Corrosion and fatigue can cause gradual structural …