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Reduced order modeling

Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation

Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation

... the reduced order modeling in the electromagnetic ...second order to simulate the cascading failures in power ...model order reduction in parts of the system that remains unaffected by ...

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Reduced-order modeling for unsteady transonic flows around an airfoil

Reduced-order modeling for unsteady transonic flows around an airfoil

... low-dimensional modeling approaches. Reduced-order dynamical systems based on proper orthogonal decomposition are derived from a Galerkin projection of two-dimensional compressible Navier-Stokes ...

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A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes

A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes

... Composites manufacturing processes usually involve multiscale models in both space and time, highly non-linear and anisotropic behaviors, strongly coupled multiphysics and complex geometries. In this framework, the use ...

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Real-time regional jet comprehensive aeroicing analysis via reduced order modeling

Real-time regional jet comprehensive aeroicing analysis via reduced order modeling

... a reduced-order modeling framework based on proper orthogonal decomposition, multi-dimensional interpolation and machine learning algorithms, along with an error driven iterative sampling method, to ...

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Efficient Probabilistic Soil-Structure Interaction Analysis for Nuclear Structures Using A Fast Reduced Order Modeling in Probabilistic Space (ROMPS)

Efficient Probabilistic Soil-Structure Interaction Analysis for Nuclear Structures Using A Fast Reduced Order Modeling in Probabilistic Space (ROMPS)

... The reduced-order modeling (ROM) approaches in probabilistic space play the role of accelerators of the statistical convergence for simulated probabilistic ...drastically reduced in comparison ...

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Hybrid Reduced Order Modeling Algorithms for Reactor Physics Calculations.

Hybrid Reduced Order Modeling Algorithms for Reactor Physics Calculations.

... surrogate modeling techniques and reduced order modeling techniques have been successfully used in many scientific fields but rarely used in reactor physics problems mainly due to their ...

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A reduced-order modeling approach to represent subgrid-scale hydrological dynamics for land-surface simulations: application in a polygonal tundra landscape

A reduced-order modeling approach to represent subgrid-scale hydrological dynamics for land-surface simulations: application in a polygonal tundra landscape

... a reduced- order modeling (ROM) technique known as “proper orthog- onal decomposition mapping method” that reconstructs tem- porally resolved fine-resolution solutions based on coarse- resolution ...

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Vortex-induced vibration of catenary riser: reduced-order modeling and lock-in analysis using wake oscillator

Vortex-induced vibration of catenary riser: reduced-order modeling and lock-in analysis using wake oscillator

... general reduced-order fluid-structure interaction model for multi-mode cross-flow VIV analysis of catenary risers, as well as top-tensioned risers (Srinil et ...present modeling and analysis outcomes ...

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Reduced Order Modeling for Virtual Building Commissioning

Reduced Order Modeling for Virtual Building Commissioning

... Grey-box modeling is still built on the foundation of first principles, but in conjunction, it also uses parameter optimization with actual operational data ...grey-box modeling uses sets of differential ...

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Reduced-order modeling of light transport in tissue for real-time monitoring of brain hemodynamics using diffuse optical tomography.

Reduced-order modeling of light transport in tissue for real-time monitoring of brain hemodynamics using diffuse optical tomography.

... Even on a modestly powered desktop PC and using code written in MATLAB®, which is significantly slower than com- piled code, it took ∼3 s to compute a 3-D reconstruction at each time point. Using compiled C/C++ code, the ...

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Reduced order modeling and control of thin film growth in an HPCVD reactor

Reduced order modeling and control of thin film growth in an HPCVD reactor

... ätËÙ)ÖÍÆ{Ú ßtÎLÍÓ ÇÔ ËÉÙ/ÎÏÆ|Ù ÍÈBâÎÏ˜È ÐÈ)ÉÆ{Ø+È)ÉÈ)ÕÓB× ÆÍÈ ÐjùÓ ÛPú7âjËOÎÏFÌË?Ø+ÆÉÊËOÈ)É6ÕOÆÊÊ'ÎËØ+Æ{ÖÉËOÎÊÆû ÖËOè>Ó ÕOÆÉ1Î. ÎLÈDìæóÊWüWæ]çÏËÊ à Ù)ÖÍÆ:ÌÆã6ËÇGÎʗÆGýÇGÆÕÕOÆÉ1Î&Î[r] ...

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Numerical Simulation and Parametric Reduced Order Modeling of the Natural Convection of Water-Copper Nanofluid

Numerical Simulation and Parametric Reduced Order Modeling of the Natural Convection of Water-Copper Nanofluid

... first order upwind and second order central differencing ...fourth order Runge-Kutta method. A parametric reduced order model is developed to compute the whole flow field under the ...

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Reduced order modeling in control of open cavity acoustics

Reduced order modeling in control of open cavity acoustics

... mean blowing and unsteady forcing into the cavity boundary layer. Unsteady[r] ...

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Computers and Mathematics with Applications. POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow

Computers and Mathematics with Applications. POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow

... complex modeling is that of reducing the computational cost while preserving numerical ...Using reduced-order modeling amounts to projecting the high-fidelity model onto a reduced space ...

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Real-Time Implementation of Reduced Order Compensators on a Cantilever Beam

Real-Time Implementation of Reduced Order Compensators on a Cantilever Beam

... implemented reduced order controllers with dimensions ranging from 4 to 10 (in even multiples) for each ...lowest order control that achieved damping of the vibration at a level indistinguishable (by ...

6

Mathematical modelling of reduced order induction machines for VFT applications

Mathematical modelling of reduced order induction machines for VFT applications

... approaches zero where they both remain in a steady-state. At t = 250s, a torque of −1pu is applied to the shaft, simulating generator action. At t = 300s this torque is removed and at t = 350s a positive torque is ...

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Reduced-order modelling of vortex-induced vibration of catenary riser

Reduced-order modelling of vortex-induced vibration of catenary riser

... new reduced-order model capable of analyzing the vortex-induced vibration of catenary riser in the ocean current has been ...in order to capture the effect of varying initial curvature of the ...

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Reduced order models for thermally coupled low Mach flows

Reduced order models for thermally coupled low Mach flows

... At this point, we have described two sets of equations: a FE-ROM one, in which all the terms have been described; and a FE-ROM-SGS one. In order to solve the second system, we follow a standard VMS formulation. ...

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Reduced-order model design for nonlinear smart system models

Reduced-order model design for nonlinear smart system models

... times where we collect the snapshots relative to the behavior of the forcing function is shown in Figure 3. Now we will keep everything the same, but we add 2 updates during the process. Updating at the times t = 0.405 ...

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