In the era of the 4th industrial revolution of big data, artificial intelligence (AI) is widely used
in each and every field of composite materials which includes design and analysis, material …

Monitoring and maintaining the health of wind turbine blades has long been one of the
challenges facing the global wind energy industry. Detecting damage to a wind turbine …

Damage mechanisms in composite laminates are quite complex, and it is necessary to
perceive their effects on the degradation of laminate mechanical properties. This work …

Interest in damage mode classification of composite structures by Acoustic Emission (AE)
inspection technique and clustering analysis by machine learning has been increasingly …

To gain an insight into the damage mechanism in carbon fiber reinforced polymer, a real-
time analytical approach for damage mode identification of composite based on machine …

The objective of this study is to investigate the mechanical behaviour and to provide a
complete set of static and fatigue loading data on thermoplastic composites based on flax …

Monitoring the operation status of the gas pipeline is of great significance to ensure the safe
and stable operation of the pipeline. A new framework combining the acoustic features …

In this study, the synergistic combination of acoustic emission (AE) and self-sensing
capability provided by the integration of carbon nanotube (CNT) networks was used to a …

The chief objective of this study is to investigate the cracking behavior of concrete with
variable loadings of diatomite. Acoustic emission parameters during the compression testing …

Combining acoustic emission (AE) and machine learning algorithms to understand damage
and failure of carbon fiber reinforced polymer (CFRP) under bending loads is a challenging …