Fracture mechanics and mechanical fault detection by artificial intelligence methods: A review
S Nasiri, MR Khosravani, K Weinberg - Engineering Failure Analysis, 2017 - Elsevier
Artificial intelligence (AI) researchers created new techniques, developed and applied them
to solve engineering problems since two decades. Although lots of AI techniques and …
to solve engineering problems since two decades. Although lots of AI techniques and …
[HTML][HTML] Recent Approaches of Interfaces Strengthening in Fibre Metal Laminates: Processes, Measurements, Properties and Numerical Analysis
Recently, there is a pressing need for high-performance and lightweight structural materials
in aircraft and automobile industry; fibre metal laminates (FMLs) are suggested ideal …
in aircraft and automobile industry; fibre metal laminates (FMLs) are suggested ideal …
[HTML][HTML] A parametric study of adhesive bonded joints with composite material using black-box and grey-box machine learning methods: Deep neuron networks and …
The aerospace, automotive and marine industries have witnessed a rapid increase of using
adhesive bonded joints due to their advantages in joining dissimilar and/or new engineering …
adhesive bonded joints due to their advantages in joining dissimilar and/or new engineering …
Machine learning/finite element analysis-A collaborative approach for predicting the axial impact response of adhesively bonded joints with unique sandwich …
F Mottaghian, F Taheri - Composites Science and Technology, 2023 - Elsevier
Despite the increasing usage of adhesively bonded joints (ABJs) in various industries,
optimization of their bond strength in a cost-effective manner remains a challenging task …
optimization of their bond strength in a cost-effective manner remains a challenging task …
Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer composites
HE Balcıoğlu, AÇ Seçkin - Archive of Applied Mechanics, 2021 - Springer
In recent years, it became possible to use different methods for the analysis of mechanical
systems with the help of computers to learn like humans and by increasing their interaction …
systems with the help of computers to learn like humans and by increasing their interaction …
Experimental analysis and prediction of strength of adhesive-bonded single-lap composite joints: Taguchi and artificial neural network approaches
H Rangaswamy, I Sogalad, S Basavarajappa… - SN Applied …, 2020 - Springer
Adhesive-bonded joints made up of composite materials offer complex structures with the
ease of joining similar or dissimilar materials. The failure behavior of adhesive-bonded joints …
ease of joining similar or dissimilar materials. The failure behavior of adhesive-bonded joints …
Water absorption behavior of jute fibers reinforced HDPE biocomposites: Prediction using RSM and ANN modeling
The main objective of the present study was to investigate both the effect of incorporating
Jute Fibers (JF) into the high density polyethylene (HDPE) matrix and to model the water …
Jute Fibers (JF) into the high density polyethylene (HDPE) matrix and to model the water …
Failure load prediction of adhesively bonded GFRP composite joints using artificial neural networks
There are different process parameters of bonding joints in the literature. The main objective
of the paper was to investigate the effects of bonding angle, composite lay-up sequences …
of the paper was to investigate the effects of bonding angle, composite lay-up sequences …
[HTML][HTML] Failure load prediction of single lap adhesive joints using artificial neural networks
The objective of this paper was to predict the failure load in single lap adhesive joints
subjected to tensile loading by using artificial neural networks. Experimental data obtained …
subjected to tensile loading by using artificial neural networks. Experimental data obtained …
Machine learning algorithms for deeper understanding and better design of composite adhesive joints
In this study, machine learning (ML), a subdivision of artificial intelligence (AI), is
implemented to study the mechanical behavior of composite adhesive single-lap joints …
implemented to study the mechanical behavior of composite adhesive single-lap joints …