scholarly journals Real-time monitoring of thermal processes by reduced-order modeling

2014 ◽  
Vol 102 (5) ◽  
pp. 991-1017 ◽  
Author(s):  
José V. Aguado ◽  
Antonio Huerta ◽  
Francisco Chinesta ◽  
Elías Cueto
Keyword(s):  
Real Time ◽  
Reduced Order Modeling ◽  
Thermal Processes ◽  
Real Time Monitoring ◽  
Reduced Order

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

2014 ◽  
Vol 19 (2) ◽  
pp. 026008 ◽  
Author(s):  
Ernesto E. Vidal-Rosas ◽  
Stephen A. Billings ◽  
Ying Zheng ◽  
John E. Mayhew ◽  
David Johnston ◽  
...  
Keyword(s):  
Real Time ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Reduced Order Modeling ◽  
Light Transport ◽  
Real Time Monitoring ◽  
Reduced Order ◽  
Brain Hemodynamics

scholarly journals Real-time simulation of surgery by reduced-order modeling and X-FEM techniques

2012 ◽  
Vol 28 (5) ◽  
pp. 574-588 ◽  
Author(s):  
S. Niroomandi ◽  
I. Alfaro ◽  
D. González ◽  
E. Cueto ◽  
F. Chinesta
Keyword(s):  
Real Time ◽  
Reduced Order Modeling ◽  
Reduced Order ◽  
Real Time Simulation ◽  
Time Simulation

A Generalized Reduced-Order Dynamic Model for Two-Phase Flow in Pipes

2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Majdi Chaari ◽  
Afef Fekih ◽  
Abdennour C. Seibi ◽  
Jalel Ben Hmida
Keyword(s):  
Dynamic Response ◽  
Multiphase Flow ◽  
Real Time ◽  
Computational Time ◽  
Real Time Monitoring ◽  
Two Phase ◽  
Reduced Order ◽  
Inclination Angles ◽  
Dynamic Simulator ◽  
Fluid Flow Control

Real-time monitoring of pressure and flow in multiphase flow applications is a critical problem given its economic and safety impacts. Using physics-based models has long been computationally expensive due to the spatial–temporal dependency of the variables and the nonlinear nature of the governing equations. This paper proposes a new reduced-order modeling approach for transient gas–liquid flow in pipes. In the proposed approach, artificial neural networks (ANNs) are considered to predict holdup and pressure drop at steady-state from which properties of the two-phase mixture are derived. The dynamic response of the mixture is then estimated using a dissipative distributed-parameter model. The proposed approach encompasses all pipe inclination angles and flow conditions, does not require a spatial discretization of the pipe, and is numerically stable. To validate our model, we compared its dynamic response to that of OLGA©, the leading multiphase flow dynamic simulator. The obtained results showed a good agreement between both models under different pipe inclinations and various levels of gas volume fractions (GVF). In addition, the proposed model reduced the computational time by four- to sixfolds compared to OLGA©. The above attribute makes it ideal for real-time monitoring and fluid flow control applications.

scholarly journals Real-Time Ensemble Control with Reduced-Order Modeling

2014 ◽  
Vol 36 (4) ◽  
pp. B749-B775 ◽  
Author(s):  
Binghuai Lin ◽  
Dennis McLaughlin
Keyword(s):  
Real Time ◽  
Reduced Order Modeling ◽  
Reduced Order ◽  
Ensemble Control

scholarly journals Real-Time Regional Jet Comprehensive Aeroicing Analysis via Reduced-Order Modeling

AIAA Journal ◽  
2016 ◽  
Vol 54 (12) ◽  
pp. 3787-3802 ◽  
Author(s):  
Zhao Zhan ◽  
Wagdi G. Habashi ◽  
Marco Fossati
Keyword(s):  
Real Time ◽  
Reduced Order Modeling ◽  
Reduced Order
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