Deep learning aided topology optimization ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
Deep learning aided topology optimization of phononic crystals
Author(s) :
Kudela, Paweł [Auteur]
Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences [PAN]
Ijjeh, Abdalraheem [Auteur]
Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences [PAN]
Radzienski, Maciej [Auteur]
Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences [PAN]
Miniaci, Marco [Auteur]
Acoustique - IEMN [ACOUSTIQUE - IEMN]
Pugno, Nicola [Auteur]
Queen Mary University of London [QMUL]
Università degli Studi di Trento = University of Trento [UNITN]
Ostachowicz, Wieslaw [Auteur]
Queen Mary University of London [QMUL]
Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences [PAN]
Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences [PAN]
Ijjeh, Abdalraheem [Auteur]
Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences [PAN]
Radzienski, Maciej [Auteur]
Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences [PAN]
Miniaci, Marco [Auteur]
Acoustique - IEMN [ACOUSTIQUE - IEMN]
Pugno, Nicola [Auteur]
Queen Mary University of London [QMUL]
Università degli Studi di Trento = University of Trento [UNITN]
Ostachowicz, Wieslaw [Auteur]
Queen Mary University of London [QMUL]
Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences [PAN]
Journal title :
Mechanical Systems and Signal Processing
Pages :
110636
Publisher :
Elsevier
Publication date :
2023
ISSN :
0888-3270
English keyword(s) :
Band gap
Phononic crystal
Lamb waves
Optimization
Deep neural network
Phononic crystal
Lamb waves
Optimization
Deep neural network
HAL domain(s) :
Sciences de l'ingénieur [physics]/Matériaux
Informatique [cs]/Apprentissage [cs.LG]
Informatique [cs]/Modélisation et simulation
Informatique [cs]/Apprentissage [cs.LG]
Informatique [cs]/Modélisation et simulation
English abstract : [en]
In this work, a novel approach for the topology optimization of phononic crystals based on the replacement of the computationally demanding traditional solvers for the calculation of dispersion diagrams with a surrogate ...
Show more >In this work, a novel approach for the topology optimization of phononic crystals based on the replacement of the computationally demanding traditional solvers for the calculation of dispersion diagrams with a surrogate deep learning (DL) model is proposed. We show that our trained DL model is ultrafast in the prediction of the dispersion diagrams, and therefore can be efficiently used in the optimization framework.The main novelty of the proposed approach relies on the use of non-uniform rational basis spline (NURBS) curves instead of pixels and/or mesh elements to control the shape of the unit cells of phononic crystals. The surrogate DL model is combined with a genetic algorithm serving as a topology optimization tool. The validity of the approach is shown in the case of phononic crystals made of a continuous matrix with cavities. Several objective functions have been tested as an alternative to the most common gap to mid-gap ratio. This allowed us to obtain interesting phononic crystal geometries which can be easily additively manufactured.The proposed method applies to problems involving inverse design and can open new avenues in the design of computer-assisted periodic structures.Show less >
Show more >In this work, a novel approach for the topology optimization of phononic crystals based on the replacement of the computationally demanding traditional solvers for the calculation of dispersion diagrams with a surrogate deep learning (DL) model is proposed. We show that our trained DL model is ultrafast in the prediction of the dispersion diagrams, and therefore can be efficiently used in the optimization framework.The main novelty of the proposed approach relies on the use of non-uniform rational basis spline (NURBS) curves instead of pixels and/or mesh elements to control the shape of the unit cells of phononic crystals. The surrogate DL model is combined with a genetic algorithm serving as a topology optimization tool. The validity of the approach is shown in the case of phononic crystals made of a continuous matrix with cavities. Several objective functions have been tested as an alternative to the most common gap to mid-gap ratio. This allowed us to obtain interesting phononic crystal geometries which can be easily additively manufactured.The proposed method applies to problems involving inverse design and can open new avenues in the design of computer-assisted periodic structures.Show less >
Language :
Anglais
Popular science :
Non
European Project :
Comment :
dataset available on zenodo: 10.5281/zenodo.8063241
Source :
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