YAN, CHENG ANGELO

YAN, CHENG ANGELO  

DIPARTIMENTO DI SCIENZE E TECNOLOGIE AEROSPAZIALI  

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Risultati 1 - 16 di 16 (tempo di esecuzione: 0.022 secondi).
Titolo Data di pubblicazione Autori File
A framework based on physics-informed neural networks and extreme learning for the analysis of composite structures 1-gen-2022 Yan, C. A.Vescovini, R.Dozio, L.
A Model-Reduction Technique Based on Perturbation Method for the Analysis of Variable-Stiffness Shells 1-gen-2024 Yan, C. A.Vescovini, R.
A neural network-based approach for bending analysis of strain gradient nanoplates 1-gen-2023 Yan, C. A.Vescovini, R. +
A Neural Network-based Approach for Strain Gradient Nanoplates 1-gen-2022 C. A. YanR. Vescovini +
A Numerical-Asymptotic Framework Based on the ps-FEM for the Analysis of Laminated Shells 1-gen-2023 Yan, C. A.Vescovini, R.
A ps-FEM Approach for the Analysis of Laminated Shells 1-gen-2022 Yan, C. A.Vescovini, R.
A Semi-Analytical Framework for Nonlinear Vibration Analysis of Variable Stiffness Plates 1-gen-2021 Yan, C. A.Vescovini, R. +
Analysis of Lightweight Structures Using Physics Informed Neural Networks 1-gen-2021 Yan, C. A.Vescovini, R.Dozio, L.
Analysis of Thin-Walled Composite Structures Using Physics-Informed Neural Networks and Extreme Learning 1-gen-2021 Vescovini, R.Yan, C. A.Dozio, L.
Analysis of Variable Stiffness Structures Using Physics Informed Neural Networks 1-gen-2021 Yan, C. A.Vescovini, R.Dozio, L.
Application of the ps-Version of the Finite Element Method to the Analysis of Laminated Shells 1-gen-2023 Yan, Cheng AngeloVescovini, Riccardo
Asymptotic ps-FEM for nonlinear analysis of composite shells 1-gen-2024 Yan, C. A.Vescovini, R.
Non-linear vibrations of variable-sti ness plates: Fast analysis using semi-analytical methods 1-gen-2020 Yan, C. A.Vescovini, R. +
Physics-Informed Neural Networks for the Analysis of Composite Structures 1-gen-2020 Yan, C. A.Vescovini, R.Dozio, L.
Postbuckling of Curvilinearly-Stiffened Panels via Asymptotic-Numerical Approach 1-gen-2023 Foligno, P. P.Yan, C. A.Vescovini, R.
Strong- and Weak-Form Physics Informed Neural Networks for the Analysis of Composite Plates and Shells 1-gen-2021 Yan, Cheng AngeloVescovini, Riccardo +