Results 51 to 60 of about 6,100,810 (194)
Reduced-Order Model Approaches for Predicting Airfoil Performance
ActuatorsThis study delves into the construction of reduced-order models (ROMs) of a flow field over a NACA 0012 airfoil at a moderate Reynolds number and an angle of attack of 8∘. Numerical simulations were computed through the finite-volume solver OpenFOAM. The
Antonio Colanera +3 more
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Bipedal Hopping: Reduced-order Model Embedding via Optimization-based Control [PDF]
, 2018 This paper presents the design and validation of controlling hopping on the 3D bipedal robot Cassie. A spring-mass model is identified from the kinematics and compliance of the robot.
Ames, Aaron, Xiong, Xiaobin
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Reduced Order Podolsky Model [PDF]
Brazilian Journal of Physics, 2016 We perform the canonical and path integral quantizations of a lower-order derivatives model describing Podolsky's generalized electrodynamics. The physical content of the model shows an auxiliary massive vector field coupled to the usual electromagnetic field.
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Multi-Frequency Aeroelastic ROM for Transonic Compressors
AerospaceThe accurate prediction of the aeroelastic behavior of turbomachinery for aircraft propulsion poses a difficult yet fundamental challenge, since modern aircraft engines tend to adopt increasingly slender blades to achieve a higher aerodynamic efficiency,
Marco Casoni +2 more
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Determining Reduced Order Models for Optimal Stochastic Reduced Order Models
, 2015 The use of parameterized reduced order models(PROMs) within the stochastic reduced order model (SROM) framework is a logical progression for both methods. In this report, five different parameterized reduced order models are selected and critiqued against the other models along with truth model for the example of the Brake-Reuss beam. The models are: a
Matthew Bonney, Matthew Brake
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A turbulence reduced order model based on non-interpolated convolutional autoencoder
Xibei Gongye Daxue XuebaoReduced-order modeling stands as a pivotal method in curbing the computational expenses linked with expansive fluid dynamics quandaries by employing proxy numerical simulations.
WU Pin, ZHANG Bo, SONG Chao, ZHOU Zhu
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A Reduced Order Model for Monitoring Aeroengines Condition in Real Time
Aerospace, 2023 A very fast reduced order model is developed to monitor aeroengines condition (defining their degradation from a baseline state) in real time, by using synthetic data collected in specific sensors.
Jose Rodrigo +3 more
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A reduced order model to assist welding parameter setup
Mechanics & IndustryThis article demonstrates the time saving in industrial process setup using numerical reduced order modelling (ROM). The numerical simulations may supply useful information to design manufacturing processes but are often time consuming and then not ...
Le Guennec Yves, Morville Simon
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Reduced Order Modeling and Sliding Mode Control of Active Magnetic Bearing
IEEE Access, 2019 Due to the accelerated growth in the field of power electronics and controller design techniques, the usage of the active magnetic bearing has picked up in industries. Active magnetic bearing helps the rotor to rotate freely without any physical contact.
Sudipta Saha +3 more
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Reduced order models based on pod method for schrödinger equations
Mathematical Modelling and Analysis, 2013 Reduced-order models (ROM) are developed using the proper orthogonal decomposition (POD) for one dimensional linear and nonlinear Schrödinger equations. The main aim of this paper is to study the accuracy and robustness of the ROM approximations.
Gerda Jankevičiutė +3 more
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