Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Scott, T M"'
Publikováno v:
J. Fluid Mech. 999 (2024) A53
This work introduces a formulation of resolvent analysis that uses wavelet transforms rather than Fourier transforms in time. Under this formulation, resolvent analysis may extend to turbulent flows with non-stationary mean states; the optimal resolv
Externí odkaz:
http://arxiv.org/abs/2404.06600
Resolvent analysis provides a framework to predict coherent spatio-temporal structures of largest linear energy amplification, through a singular value decomposition (SVD) of the resolvent operator, obtained by linearizing the Navier-Stokes equations
Externí odkaz:
http://arxiv.org/abs/2404.06331
Autor:
Lopez-Doriga, Barbara, Atzori, Marco, Vinuesa, Ricardo, Bae, H. Jane, Srivastava, Ankit, Dawson, Scott T. M.
This research focuses on the identification and causality analysis of coherent structures that arise in turbulent flows in square and rectangular ducts. Coherent structures are first identified from direct numerical simulation data via proper orthogo
Externí odkaz:
http://arxiv.org/abs/2401.06295
In this work, we study the transient growth of the principal resolvent modes in the minimal flow unit using a reformulation of resolvent analysis in a time-localized wavelet basis. We target the most energetic spatial wavenumbers for the minimal flow
Externí odkaz:
http://arxiv.org/abs/2312.15465
Autor:
Solera-Rico, Alberto, Vila, Carlos Sanmiguel, Gómez, M. A., Wang, Yuning, Almashjary, Abdulrahman, Dawson, Scott T. M., Vinuesa, Ricardo
Variational autoencoder (VAE) architectures have the potential to develop reduced-order models (ROMs) for chaotic fluid flows. We propose a method for learning compact and near-orthogonal ROMs using a combination of a $\beta$-VAE and a transformer, t
Externí odkaz:
http://arxiv.org/abs/2304.03571
We propose a technique for performing spectral (in time) analysis of spatially-resolved flowfield data, without needing any temporal resolution or information. This is achieved by combining projection-based reduced-order modeling with spectral proper
Externí odkaz:
http://arxiv.org/abs/2302.06412
Autor:
Herrmann, Benjamin, Baddoo, Peter J., Dawson, Scott T. M., Semaan, Richard, Brunton, Steven L., McKeon, Beverley J.
During the last decade, forcing and response modes produced by resolvent analysis have demonstrated great potential to guide sensor and actuator placement and design in flow control applications. However, resolvent modes are frequency-dependent, whic
Externí odkaz:
http://arxiv.org/abs/2301.13093
This work introduces a variant of resolvent analysis that identifies forcing and response modes that are sparse in both space and time. This is achieved through the use of a sparse principal component analysis (PCA) algorithm, which formulates the as
Externí odkaz:
http://arxiv.org/abs/2212.02741
This work introduces a formulation of resolvent analysis that uses wavelet transforms rather than Fourier transforms in time. This allows resolvent analysis to be extended to turbulent flows with non-stationary means in addition to statistically-stat
Externí odkaz:
http://arxiv.org/abs/2212.02660
Autor:
Towne, Aaron, Dawson, Scott T. M., Brès, Guillaume A., Lozano-Durán, Adrián, Saxton-Fox, Theresa, Parthasarathy, Aadhy, Jones, Anya R., Biler, Hulya, Yeh, Chi-An, Patel, Het D., Taira, Kunihiko
We present a publicly accessible database designed to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics. Availability of high-quality flow data is essential for all of these as
Externí odkaz:
http://arxiv.org/abs/2206.11801