Optimization Design of Laminated Functionally Carbon Nanotube-Reinforced Composite Plates Using Deep Neural Networks and Differential Evolution
From MaRDI portal
Publication:6173094
DOI10.1142/s0219876222500657MaRDI QIDQ6173094
Trung Nguyen-Thoi, Unnamed Author, Tam T. Truong
Publication date: 21 July 2023
Published in: International Journal of Computational Methods (Search for Journal in Brave)
differential evolution (DE)frequency optimizationdeep neural network (DNN)laminated functionally graded carbon nanotube (FG-CNT)-reinforced composite plates
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization
- Thermal buckling of temperature dependent FG-CNT reinforced composite plates
- Applying nonlocal strain gradient theory to size-dependent analysis of functionally graded carbon nanotube-reinforced composite nanoplates
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Background information of deep learning for structural engineering
- A naturally stabilized nodal integration meshfree formulation for carbon nanotube-reinforced composite plate analysis
- Closed-form solution for nonlinear buckling analysis of FG-CNTRC cylindrical shells with initial geometric imperfections
- Structural optimization using evolution strategies and neural networks
- Multiscale topology optimization using neural network surrogate models
- Material optimization of tri-directional functionally graded plates by using deep neural network and isogeometric multimesh design approach
- Topology optimization using material-field series expansion and Kriging-based algorithm: an effective non-gradient method
- Isogeometric analysis of the effect of CNT orientation on the static and vibration behaviors of CNT-reinforced skew composite plates
- An energy approach to the solution of partial differential equations in computational mechanics via machine learning: concepts, implementation and applications
- Development of the Cell-based Smoothed Discrete Shear Gap Plate Element (CS-FEM-DSG3) using Three-Node Triangles
- A cell‐based smoothed discrete shear gap method using triangular elements for static and free vibration analyses of Reissner–Mindlin plates
- A Type of Novel Nonlinear Distributions for Improving Significantly the Stiffness of Carbon Nanotube-Reinforced Composite Beams
- A global single-loop deterministic approach for reliability-based design optimization of truss structures with continuous and discrete design variables
- A Stochastic Approximation Method
- Multi-Objective Optimization of Laminated Functionally Graded Carbon Nanotube-Reinforced Composite Plates Using Deep Feedforward Neural Networks-NSGAII Algorithm
