A transfer operator based computational study of mixing processes in open flow systems
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In: Proceedings in applied mathematics and mechanics, Vol. 20, No. 1, e202000133, 25.01.2021.
Research output: Journal contributions › Conference article in journal › Research › peer-review
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TY - JOUR
T1 - A transfer operator based computational study of mixing processes in open flow systems
AU - Klünker, Anna
AU - Padberg-Gehle, Kathrin
N1 - Conference code: 91
PY - 2021/1/25
Y1 - 2021/1/25
N2 - We study mixing by chaotic advection in open flow systems, where the corresponding small‐scale structures are created by means of the stretching and folding property of chaotic flows. The systems we consider contain an inlet and an outlet flow region as well as a mixing region and are characterized by constant in‐ and outflow of fluid particles. The evolution of a mass distribution in the open system is described via a transfer operator. The spatially discretized approximation of the transfer operator defines the transition matrix of an absorbing Markov chain restricted to finite transient states. We study the underlying mixing processes via this substochastic transition matrix. We conduct parameter studies for example systems with two differently colored fluids. We quantify the mixing of the resulting patterns by several mixing measures. In case of chaotic advection the transport processes in the open system are organized by the chaotic saddle and its stable and unstable manifolds. We extract these structures directly from leading eigenvectors of the transition matrix.
AB - We study mixing by chaotic advection in open flow systems, where the corresponding small‐scale structures are created by means of the stretching and folding property of chaotic flows. The systems we consider contain an inlet and an outlet flow region as well as a mixing region and are characterized by constant in‐ and outflow of fluid particles. The evolution of a mass distribution in the open system is described via a transfer operator. The spatially discretized approximation of the transfer operator defines the transition matrix of an absorbing Markov chain restricted to finite transient states. We study the underlying mixing processes via this substochastic transition matrix. We conduct parameter studies for example systems with two differently colored fluids. We quantify the mixing of the resulting patterns by several mixing measures. In case of chaotic advection the transport processes in the open system are organized by the chaotic saddle and its stable and unstable manifolds. We extract these structures directly from leading eigenvectors of the transition matrix.
KW - Mathematics
UR - https://www.mendeley.com/catalogue/ee694f5c-343a-39ea-bd62-b3917d83bce7/
U2 - 10.1002/pamm.202000133
DO - 10.1002/pamm.202000133
M3 - Conference article in journal
VL - 20
JO - Proceedings in applied mathematics and mechanics
JF - Proceedings in applied mathematics and mechanics
SN - 1617-7061
IS - 1
M1 - e202000133
T2 - 91st Annual Meeting of the International Association of Applied Mathematics and Mechanics - GAMM 2020
Y2 - 16 March 2020 through 20 March 2020
ER -