Sökning: WFRF:(Eivazi Hamidreza) >
Non-Linear Orthogon...
Non-Linear Orthogonal Modal Decompositions in Turbulent Flows via Autoencoders
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- Eivazi, Hamidreza (författare)
- KTH,Linné Flow Center, FLOW,Teknisk mekanik
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- Le Clainche, Soledad (författare)
- School of Aerospace Engineering Universidad Politécnica de Madrid Madrid, Spain
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- Hoyas, Sergio (författare)
- Inst. Univ. Matemática Pura y Aplicada Universitat Politècnica de València Valencia, Spain
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visa fler...
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- Vinuesa, Ricardo (författare)
- KTH,Linné Flow Center, FLOW,Teknisk mekanik
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visa färre...
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(creator_code:org_t)
- International Symposium on Turbulence and Shear Flow Phenomena, TSFP, 2022
- 2022
- Engelska.
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Ingår i: 12th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2022. - : International Symposium on Turbulence and Shear Flow Phenomena, TSFP.
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- We propose a deep probabilistic-neural-network architecture for learning a minimal and near-orthogonal set of nonlinear modes from high-fidelity turbulent-flow data. Our approach is based on β-variational autoencoders (β-VAEs) and convolutional neural networks (CNNs), which enable extracting non-linear modes from multi-scale turbulent flows while encouraging the learning of independent latent variables and penalizing the size of the latent vector. Moreover, we introduce an algorithm for ordering VAE-based modes with respect to their contribution to the reconstruction. We apply this method for non-linear mode decomposition of the turbulent flow through a simplified urban environment. We demonstrate that by constraining the shape of the latent space, it is possible to motivate the orthogonality and extract a set of parsimonious modes sufficient for high-quality reconstruction. Our results show the excellent performance of the method in the reconstruction against linear-theory-based decompositions. We show the ability of our approach in the extraction of near-orthogonal modes with the determinant of the correlation matrix equal to 0.99, which may lead to interpretability.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Strömningsmekanik och akustik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Fluid Mechanics and Acoustics (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)