Design optimization of laminated composite structures using artificial neural network and genetic algorithm
In this paper, an efficient method for performing minimum weight optimization of composite
laminates using artificial neural network (ANN) based surrogate models is proposed. By …
laminates using artificial neural network (ANN) based surrogate models is proposed. By …
A comprehensive review on high-fidelity and metamodel-based optimization of composite laminates
Composite laminates have found wide-ranging applications in various areas of structural,
marine and aerospace industries. Their design and optimization is a challenging task due to …
marine and aerospace industries. Their design and optimization is a challenging task due to …
Hybrid ANFIS-PSO algorithm for estimation of the characteristics of porous vacuum preloaded air bearings and comparison performance of the intelligent algorithm …
Air bearings are commonly used in systems requiring high precision, including
semiconductor manufacturing, optical and electronic devices, and aerospace systems, and …
semiconductor manufacturing, optical and electronic devices, and aerospace systems, and …
Prediction of emission and performance characteristics of reactivity-controlled compression ignition engine with the intelligent software based on adaptive neural-fuzzy …
A fuel reactivity-controlled compression ignition concept promises to overcome increasingly
stringent emission standards with ultra-low nitrogen oxide and soot emissions and very high …
stringent emission standards with ultra-low nitrogen oxide and soot emissions and very high …
Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: the advantage of more elementary-level …
High-fidelity multi-scale design optimization of many real-life applications in structural
engineering still remains largely intractable due to the computationally intensive nature of …
engineering still remains largely intractable due to the computationally intensive nature of …
Buckling of laminated composite skew plate using FEM and machine learning methods
Purpose The purpose of this paper is to attempt the buckling analysis of a laminated
composite skew plate using the C0 finite element (FE) model based on higher-order shear …
composite skew plate using the C0 finite element (FE) model based on higher-order shear …
Lower-bound axial buckling load prediction for isotropic cylindrical shells using probabilistic random perturbation load approach
Due to high sensitivity to various imperfections, buckling loads of thin-walled cylindrical
shells subjected to axial load vary dramatically. In order to predict lower-bound buckling …
shells subjected to axial load vary dramatically. In order to predict lower-bound buckling …
Performance analysis of radial basis function metamodels for predictive modelling of laminated composites
High-fidelity structural analysis using numerical techniques, such as finite element method
(FEM), has become an essential step in design of laminated composite structures. Despite …
(FEM), has become an essential step in design of laminated composite structures. Despite …
Tip deflection determination of a barrel for the effect of an accelerating projectile before firing using finite element and artificial neural network combined algorithm
For realistic applications, design and control engineers have limited modelling options in
dealing with some vibration problems that hold many nonlinearity such as non-uniform …
dealing with some vibration problems that hold many nonlinearity such as non-uniform …
On the use of neural networks to evaluate performances of shell models for composites
This paper presents a novel methodology to assess the accuracy of shell finite elements via
neural networks. The proposed framework exploits the synergies among three well …
neural networks. The proposed framework exploits the synergies among three well …