Single-sensor Acoustic Emission Damage Location in Orthotropic Steel Decks Based on Continuous Wavelet Transform and Convolutional Neural Network

Acoustic emissions based structural diagnosis technique for steel details

Acoustic emissions (AE) are a non‐destructive testing technique used to detect micro‐cracks and defects in industrial structures, including areas that are difficult to inspect visually. In steel structures, welded joints are particularly critical, as they are prone to damage mechanisms such as yielding and high‐cycle f...

Delamination Detection in Composites Using Acoustic Signal from Fiber Bragg Grating Sensor: A Comprehensive Review

Delamination is an important failure mode of composite materials and can cause structural failure without visible signs. Early and reliable detection is crucial, especially in safety related sectors such as aerospace, automotive or wind energy. Fiber Bragg grating (FBG) sensors have gained widespread popularity for str...

Integration of Pattern Recognition and Machine Learning with the Acoustic Emission Method to Locate and Assess Corrosion in Cable-Stayed and Suspension Bridge Post-Tensioned Cable Anchorages

Prestressed and post-tensioned concrete structural elements constitute approximately 43.4% of modern bridge infrastructure, representing 58.2% of the total bridge surface area due to their long-span capabilities. Despite their structural efficiency, evaluating residual post-tensioning forces and diagnosing localized de...

Investigation of Acoustic-emission-based Method for Weld Damage Monitoring in High Temperature Coke Drum

Machine Learning–Based Damage Pattern Discovery in Composite Pressure Vessels Using Acoustic Emission Signals

Ensuring the safety and reliability of hydrogen storage systems requires a detailed understanding of damage evolution in composite pressure vessels (CPVs). These structures experience complex degradation processes during service, which makes damage assessment particularly challenging. Acoustic emission (AE) monitoring...

Acoustic Emission Metrology for Real-Time TIG Welding Monitoring: Spectral Characterization and Interpretability via Explainable AI

Tungsten inert gas (TIG) welding of AA5083 aluminum alloy is sensitive to heat input and shielding conditions, which can lead to defects such as porosity and burn-through that compromise weld quality. Conventional non-destructive testing methods are generally performed after welding and therefore provide limited capabi...