The current research demonstrates the application of artificial neural network (ANN) in
predicting the fracture under mixed-mode I/II loadings. To this end, based on the analysis of …

In order to overcome the difficulties of traditional arrival-time picking techniques applied to
acoustic emission (AE) events with low signal-to-noise ratio (SNR) and complex waveforms …

In the structural health monitoring field, the acoustic emission technique (AE) is one of the
most important and extensively applied methods. AE is a non-destructive testing (NDT) …

Ancient masonry constructions and historical buildings, such as cathedrals, are exposed to
considerable risks attributed to factors like ageing and long-term exposure to both dynamic …

In this paper, an approach to perform leak state detection and size identification for industrial
fluid pipelines with an acoustic emission (AE) activity intensity index curve (AIIC), using b …

Acoustic emission (AE) technology is a non-destructive testing (NDT) technique that is able
to monitor the process of hydrogen-induced cracking (HIC). AE uses piezoelectric sensors to …

Concrete structures are subjected to various levels of damage during their life cycle due to
exposure to different environmental and loading conditions. Hence, damage severity …

During their life cycle, buildings are subjected to damage that reduces their performance
and can pose a significant threat to structural safety. This paper presents the results of …

The critical value of rock failure is determined by irreversible deformation (inelastic
deformation, damage, and other internal dissipation) processes and external conditions …

Acoustic Emission (AE) is a non-destructive structural health monitoring technique, which
studies elastic waves emitted during crack formation. Utilizing piezoelectric sensors, these …