Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
Structural health monitoring in composite structures: A comprehensive review
This study presents a comprehensive review of the history of research and development of
different damage-detection methods in the realm of composite structures. Different fields of …
different damage-detection methods in the realm of composite structures. Different fields of …
[HTML][HTML] Advancements in fiber-reinforced polymer composite materials damage detection methods: Towards achieving energy-efficient SHM systems
The application of fiber-reinforced polymer (FRP) composites is continuously increasing due
to their superior mechanical properties and the associated weight advantage. However, they …
to their superior mechanical properties and the associated weight advantage. However, they …
Evaluation of geopolymer concrete at high temperatures: An experimental study using machine learning
M Rahmati, V Toufigh - Journal of Cleaner Production, 2022 - Elsevier
Studying the mechanical performance of concrete after being exposed to high temperatures
is an important step in the damage assessment of buildings and fire safety applications …
is an important step in the damage assessment of buildings and fire safety applications …
Laser ultrasonics for nondestructive testing of composite materials and structures: a review
This paper presents a comprehensive overview of Laser Ultrasonic Testing (LUT) and its
applications in composite materials. The working principles of LUT are thoroughly …
applications in composite materials. The working principles of LUT are thoroughly …
Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: Advances, challenges, and opportunities
D Yu, Z He - Natural hazards, 2022 - Springer
Natural hazards, which have the potential to cause catastrophic damage and loss to
infrastructure, have increased significantly in recent decades. Thus, the construction …
infrastructure, have increased significantly in recent decades. Thus, the construction …
[HTML][HTML] Thermo-mechanical coupled analysis based design of ventilated brake disc using genetic algorithm and particle swarm optimization
A Belhocine, D Shinde, R Patil - JMST Advances, 2021 - Springer
The brake discs are subjected to thermal load due to sliding by the brake pad and fluctuating
loads because of the braking load. This combined loading problem requires simulation …
loads because of the braking load. This combined loading problem requires simulation …
Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations
M Rautela, J Senthilnath, E Monaco… - Composite …, 2022 - Elsevier
With the introduction of damage tolerance-based design philosophies, the demand for
reliable and robust structural health monitoring (SHM) procedures for aerospace composite …
reliable and robust structural health monitoring (SHM) procedures for aerospace composite …
Challenges on machining characteristics of natural fiber-reinforced composites–A review
The emerging “green” economy is based on energy efficiency, renewable food stocks in
polymeric products, industrial processes that reduce carbon emissions, and recyclable …
polymeric products, industrial processes that reduce carbon emissions, and recyclable …
Advanced deep learning model-based impact characterization method for composite laminates
KC Jung, SH Chang - Composites Science and Technology, 2021 - Elsevier
The aim of this study was to develop a structural health monitoring system for smart
composite structures through the use of signal processing, deep learning algorithms, and …
composite structures through the use of signal processing, deep learning algorithms, and …