
Afsal Pulikkathodi
12
Documents
Publications
Publications
|
Non-Intrusive Coupling of Neural Network-Based Local Models to Explicit Dynamics Solvers16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France
Communication dans un congrès
hal-04611006
v1
|
|
Non-intrusive coupling of neural network-based local model and explicit dynamics16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France
Communication dans un congrès
hal-04431982
v1
|
A data-driven approach for the real-time modelling of spot-welded patches under impact using deep learning6th International Workshop on Model Reduction Techniques, Nov 2023, Paris-Saclay, France
Communication dans un congrès
hal-04425553
v1
|
|
A data-driven approach using Neural Networks for real-time modeling and simulation of structures with many welded points under impactInternational Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Jun 2023, Athens, Greece
Communication dans un congrès
hal-04228349
v1
|
|
Non-Intrusive Coupling of Neural Network-Based Local Model and Explicit Dynamics Scheme: Application to Spot-Welded Plates under Impact2nd IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology, Sep 2023, El Paso, Texas, United States
Communication dans un congrès
hal-04228400
v1
|
|
A data-driven approach for the real-time modelling of spot-welded patches under impact using deep learning20th International Conference on Numerical Analysis and Applied Mathematics, 2022, Heraklion (Crete Island), Greece
Communication dans un congrès
hal-04424534
v1
|
|
A data-driven approach using Neural Network for real-time modeling of spot welded patches under impactIUTAM Symposium on Data-driven Mechanics, Oct 2022, Paris, France
Communication dans un congrès
hal-03825839
v1
|
|
|
A data-driven approach for the real-time modeling of spot-welded patches under impact using Deep Learning25éme congrès français de mécanique, Aug 2022, Nantes, France
Communication dans un congrès
hal-03825830
v1
|
Real-time tracking of crack propagation in active structuresXXVII Conference on Computer Methods in Materials Technology, Mar 2021, Kraków, Poland
Communication dans un congrès
hal-03825749
v1
|
|
Scientific machine learning and physics-augmented neural networks for hybrid digital twinsJournée du GDR I-GAIA, 2023, Paris, France
Poster de conférence
hal-04425617
v1
|
Real-time inverse crack tracking in uncertain microstructures using PGD-based model reduction and extended Kalman filteringComputational Mechanics, 2023, 71, pp.311-332. ⟨10.1007/s00466-022-02240-4⟩
Article dans une revue
hal-03834687
v1
|
|
|
A neural network-based data-driven local modeling of spotwelded plates under impactMechanics & Industry, 2023, 24, pp.34. ⟨10.1051/meca/2023029⟩
Article dans une revue
hal-04190457
v1
|
Chargement...
Chargement...