Hydrogen storage technologies for stationary and mobile applications: Review, analysis and perspectives

IA Hassan, HS Ramadan, MA Saleh, D Hissel - … and Sustainable Energy …, 2021 - Elsevier
Hydrogen storage systems (HSSs), are the backbone of feasible hydrogen economy. To
provide a reliable renewable energy system, safe, cost effective and compact HSS is due …

[HTML][HTML] A review of artificial neural networks in the constitutive modeling of composite materials

X Liu, S Tian, F Tao, W Yu - Composites Part B: Engineering, 2021 - Elsevier
Abstract Machine learning models are increasingly used in many engineering fields thanks
to the widespread digital data, growing computing power, and advanced algorithms. The …

Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design

A Sharma, T Mukhopadhyay, SM Rangappa… - … Methods in Engineering, 2022 - Springer
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

O AlShorman, F Alkahatni, M Masadeh… - Advances in …, 2021 - journals.sagepub.com
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

[HTML][HTML] Advancements in fiber-reinforced polymer composite materials damage detection methods: Towards achieving energy-efficient SHM systems

O Ahmed, X Wang, MV Tran, MZ Ismadi - Composites Part B: Engineering, 2021 - Elsevier
The application of fiber-reinforced polymer (FRP) composites is continuously increasing due
to their superior mechanical properties and the associated weight advantage. However, they …

[HTML][HTML] Successes and challenges in non-destructive testing of aircraft composite structures

H Towsyfyan, A Biguri, R Boardman… - Chinese Journal of …, 2020 - Elsevier
Composite materials are increasingly used in the aerospace industry. To fully realise the
weight saving potential along with superior mechanical properties that composites offer in …

Damage mechanism identification in composites via machine learning and acoustic emission

C Muir, B Swaminathan, AS Almansour… - npj Computational …, 2021 - nature.com
Damage mechanism identification has scientific and practical ramifications for the structural
health monitoring, design, and application of composite systems. Recent advances in …

Application of different acoustic emission descriptors in damage assessment of fiber reinforced plastics: A comprehensive review

C Barile, C Casavola, G Pappalettera… - Engineering fracture …, 2020 - Elsevier
The review emphasis on the innovative methods of utilizing the Acoustic Emission (AE)
parameters in characterizing Fiber Reinforced Plastics (FRPs). This review is structured into …

Damage monitoring of carbon fibre reinforced polymer composites using acoustic emission technique and deep learning

C Barile, C Casavola, G Pappalettera, VP Kannan - Composite Structures, 2022 - Elsevier
In this research work, a deep Convolutional Neural Network (CNN) was trained for image-
based Acoustic Emission (AE) waveform classification. AE waveforms from different damage …

Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications

DA Tibaduiza Burgos, RC Gomez Vargas, C Pedraza… - Sensors, 2020 - mdpi.com
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …