2022
DOI: 10.1103/physrevfluids.7.104401
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Adjoint-based phase reduction analysis of incompressible periodic flows

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Cited by 3 publications
(11 citation statements)
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“…Here, Z (x, θ) = ∇ q Θ(q)| q=q 0 (x,θ ) is the spatial phase sensitivity field as it quantifies the phase response of the system to any given small perturbation and D is the considered spatial domain. This spatial phase sensitivity field can be obtained using either a direct impulse-based method (Taira & Nakao 2018;Khodkar & Taira 2020;Loe et al 2021;Nair et al 2021), or an adjoint-based approach (Kawamura & Nakao 2013, 2015Kawamura et al 2022), or a Jacobian-free approach (Iima 2021). We use the adjoint-based phase reduction framework to obtain the phase sensitivity fields in the present study, as we can obtain the high-fidelity Z (x, θ) in all the flow variables by solving a single pair of forward and adjoint simulations.…”
Section: Phase Reduction Approachmentioning
confidence: 99%
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“…Here, Z (x, θ) = ∇ q Θ(q)| q=q 0 (x,θ ) is the spatial phase sensitivity field as it quantifies the phase response of the system to any given small perturbation and D is the considered spatial domain. This spatial phase sensitivity field can be obtained using either a direct impulse-based method (Taira & Nakao 2018;Khodkar & Taira 2020;Loe et al 2021;Nair et al 2021), or an adjoint-based approach (Kawamura & Nakao 2013, 2015Kawamura et al 2022), or a Jacobian-free approach (Iima 2021). We use the adjoint-based phase reduction framework to obtain the phase sensitivity fields in the present study, as we can obtain the high-fidelity Z (x, θ) in all the flow variables by solving a single pair of forward and adjoint simulations.…”
Section: Phase Reduction Approachmentioning
confidence: 99%
“…The smallest grid size is set to x min /c = 0.02, and the time step is chosen to be t = 0.005. The present computational set-up has been validated and is the same as that used in Kawamura et al (2022). The same computational set-up is used for adjoint simulations of the phase sensitivity fields.…”
Section: Computational Set-upmentioning
confidence: 99%
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