Jiaqing Kou
I am currently a Marie-Curie Early Stage Researcher / PhD student at Numeca International and Universidad Politécnica de Madrid (UPM). Under the project ASIMIA (Advanced High-order Simulation Methods for Industrial Applications), I am working on high-order fluid-structure interaction method based on immersed boundary, discontinuous Galerkin and flux reconstruction. Other research interests include data-driven modeling, multi-fidelity methods, and model order reduction.
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Papers by Jiaqing Kou
nous input and control. This algorithm is a variant of dynamic mode decomposition (DMD), which is an equation-free method for identifying
coherent structures and modeling complex flow dynamics. Compared with existing methods, the proposed method improves the capability
of predicting the flow evolution near the unstable equilibrium state. The method is achieved by two steps. First, the system matrix without
input is identified by standard DMD to represent the intrinsic flow dynamics. Second, the input term, represented by a state space equation,
is identified through existing methods for DMD with control effects. The whole system with input is described by the superposition of both
the system matrix and the input term. The proposed method is validated by one simple two-dimensional dynamic system and two test cases
○of unsteady flow, including flow past a circular cylinder at Reynolds number 45 and flow past a NACA0012 airfoil at an angle of attack 25 .
Results indicate that the proposed method gives more accurate description on the flow evolution with or without external forcing.
nous input and control. This algorithm is a variant of dynamic mode decomposition (DMD), which is an equation-free method for identifying
coherent structures and modeling complex flow dynamics. Compared with existing methods, the proposed method improves the capability
of predicting the flow evolution near the unstable equilibrium state. The method is achieved by two steps. First, the system matrix without
input is identified by standard DMD to represent the intrinsic flow dynamics. Second, the input term, represented by a state space equation,
is identified through existing methods for DMD with control effects. The whole system with input is described by the superposition of both
the system matrix and the input term. The proposed method is validated by one simple two-dimensional dynamic system and two test cases
○of unsteady flow, including flow past a circular cylinder at Reynolds number 45 and flow past a NACA0012 airfoil at an angle of attack 25 .
Results indicate that the proposed method gives more accurate description on the flow evolution with or without external forcing.