Results 1 to 10 of about 1,914,780 (311)
Enhancing high-fidelity nonlinear solver with reduced order model [PDF]
Scientific Reports, 2022 We propose the use of reduced order modeling (ROM) to reduce the computational cost and improve the convergence rate of nonlinear solvers of full order models (FOM) for solving partial differential equations.
Teeratorn Kadeethum +12 more
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Towards a reduced order model of the periodontal ligament [PDF]
Scientific ReportsBased on previous in vitro experiments with specimens of porcine mandibular premolars, the simulation of the periodontal ligament response to force in the initial phase of orthodontic tooth movement is described.
Albert Heinrich Kaiser +1 more
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Reduced order modeling and model order reduction for continuum manipulators: an overview
Frontiers in Robotics and AI, 2023 Soft robot’s natural dynamics calls for the development of tailored modeling techniques for control. However, the high-dimensional configuration space of the geometrically exact modeling approaches for soft robots, i.e., Cosserat rod and Finite Element ...
S.M.H. Sadati +4 more
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REDUCED-ORDER MODELLING OF PARAMETERIZED TRANSIENT FLOWS IN CLOSED-LOOP SYSTEMS [PDF]
EPJ Web of Conferences, 2021 In this paper, two Galerkin projection based reduced basis approaches are investigated for the reduced-order modeling of parameterized incompressible Navier-Stokes equations for laminar transient flows. The first approach solves only the reduced momentum
German Péter +3 more
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Multivariable robust adaptive controller using reduced-order model [PDF]
Modeling, Identification and Control, 1990 In this paper a multivariable robust adaptive controller is presented for a plant with bounded disturbances and unmodeled dynamics due to plant-model order mismatches.
Wei Wang
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Improved Reduced-Order Model for PLL Instability Investigations
IEEE Access, 2023 There is a rapid increase in the installed capacity of offshore wind power plants (WPPs) worldwide, and this trend will continue in the context of the recent EU energy crisis and the Ukraine war.
Mohammad Kazem Bakhshizadeh +3 more
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A data-driven reduced-order model for rotor optimization [PDF]
Wind Energy Science, 2023 For rotor design applications, such as wind turbine rotors or urban air mobility (UAM) rotorcraft and flying-car design, there is a significant challenge in quickly and accurately modeling rotors operating in complex, turbulent flow fields. One potential
N. Peters +3 more
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Tandem Cascade Flow Prediction by POD-RBFN Reduced Order Model
Hangkong gongcheng jinzhan, 2022 The cost of obtaining a large amount of flow field information by traditional experiment or CFD is unacceptable,so it is of significance to develop faster forecasting calculation methods.Proper orthogonal decomposition(POD)is used to extract the dominant
SHANG Xun +3 more
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AEROM: NASA’s Unsteady Aerodynamic and Aeroelastic Reduced-Order Modeling Software
Aerospace, 2018 The origins, development, implementation, and application of AEROM, NASA’s patented reduced-order modeling (ROM) software, are presented. Using the NASA FUN3D computational fluid dynamic (CFD) code, full and ROM aeroelastic solutions are computed at ...
Walter A. Silva
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Control-Oriented, Data-Driven Models of Thermal Dynamics
Energies, 2021 We investigate data-driven, simple-to-implement residential environmental models that can serve as the basis for energy saving algorithms in both retrofits and new designs of residential buildings.
Ljuboslav Boskic, Igor Mezic
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