Reduced order modeling of thermal transients in high-performance engineering systems

2019 ◽  
Author(s):  
Andrea Giuliano ◽  
Michele Ferlauto ◽  
Jinguang Yang
Keyword(s):  
High Performance ◽  
Reduced Order Modeling ◽  
Engineering Systems ◽  
Reduced Order ◽  
Thermal Transients ◽  
Performance Engineering

scholarly journals Industrial Digital Twins based on the non-linear LATIN-PGD

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Philippe Barabinot ◽  
Ronan Scanff ◽  
Pierre Ladevèze ◽  
David Néron ◽  
Bruno Cauville
Keyword(s):  
Finite Element ◽  
High Performance ◽  
Reduced Order Modeling ◽  
Computational Time ◽  
Reduced Order ◽  
Finite Element Software ◽  
Digital Twins ◽  
Non Linear ◽  
Industrial Level ◽  
Early Design Phase

AbstractDigital Twins, which tend to intervene over the entire life cycle of products from early design phase to predictive maintenance through optimization processes, are increasingly emerging as an essential component in the future of industries. To reduce the computational time reduced-order modeling (ROM) methods can be useful. However, the spread of ROM methods at an industrial level is currently hampered by the difficulty of introducing them into commercial finite element software, due to the strong intrusiveness of the associated algorithms, preventing from getting robust and reliable tools all integrated in a certified product. This work tries to circumvent this issue by introducing a weakly-invasive reformulation of the LATIN-PGD method which is intended to be directly embedded into Simcenter Samcef$$^{\hbox {TM}}$$ TM finite element software. The originality of this approach lies in the remarkably general way of doing, allowing PGD method to deal with not only a particular application but with all facilities already included in such softwares—any non-linearities, any element types, any boundary conditions...—and thus providing a new high-performance all-inclusive non-linear solver.

High Performance Parallel Algorithms for Improved Reduced-Order Modeling

2008 ◽  
Author(s):  
Christopher A. Beattie ◽  
Jeffrey T. Borggaard ◽  
Serkan Gugercin ◽  
Traian Iliescu
Keyword(s):  
Parallel Algorithms ◽  
High Performance ◽  
Reduced Order Modeling ◽  
Reduced Order

Nonlinear Shape Control of Shells and Plates

1999 ◽  
Author(s):  
H. S. Tzou ◽  
Y. Bao ◽  
C. S. Chou
Keyword(s):  
Linear Theory ◽  
Structural Control ◽  
Shape Control ◽  
High Performance ◽  
Engineering Systems ◽  
Helicopter Blades ◽  
Performance Engineering ◽  
Control Concept ◽  
Shell Equations ◽  
Piezoelectric Shell

Abstract Adaptive shape control is essential in many high-performance engineering systems, such as nozzles, airplane wings, helicopter blades, etc. Recent development of smart structures and structronic systems offers new alternatives to shape control with inherent and embedded actuator components. Imposed shape control often involves large deformations implying that the conventional linear theory is no longer applicable. This study is to explore a new structural control concept based on nonlinear theories. Nonlinear piezoelectric shell equations are derived based on von Karman geometric nonlinearity. Physical significance and application are discussed. As to compare the linear and nonlinear theories, a zero-curvature shell–plate is investigated. Analytical results suggest that the linear theory is indeed invalid when large deformation shape control is considered. Differences between the two theories are presented. Control effects of the plate with polymeric and ceramic piezoelectric actuators are compared.

Reduced Order Modeling and Compression of Data Produced by Simulations of Transient and Periodic Heat Transfer Processes

2013 ◽  
Author(s):  
Trevor J. Blanc ◽  
Matthew R. Jones ◽  
Steven E. Gorrell ◽  
Earl P. N. Duque
Keyword(s):  
Heat Transfer ◽  
Reduced Order Modeling ◽  
Computationally Efficient ◽  
Reduced Order ◽  
Thermal Transients ◽  
Complex Dynamic Systems ◽  
Modeling Techniques ◽  
Small Set ◽  
Periodic Heat ◽  
Value Decomposition

Reduced Order Modeling may be used to obtain compact and computationally efficient representations of complex dynamic systems. The objective of this paper is to demonstrate the application of reduced order modeling techniques to systems undergoing thermal transients. In this paper, a reduced order model is defined as a spectral method in which the dominant features of a spatially and temporally varying temperature profile are represented using a relatively small set of basis vectors. Although various approaches are possible, reduced order modeling generally relies on the use the singular value decomposition of a matrix containing representative data to generate an orthonormal basis for the process to be modeled. The results presented in this paper illustrate reduced order modeling of periodic and transient heat transfer in an axisymmetric system. Measures demonstrating the accuracy and computational savings associated with the use of reduced order modeling are presented.

Lattice Boltzmann Flow Simulations With Applications of Reduced Order Modeling Techniques.

2014 ◽  
Author(s):  
Donald L. Brown ◽  
Jun Li ◽  
Victor M. Calo ◽  
Mehdi Ghommem ◽  
Yalchin Efendiev
Keyword(s):  
Lattice Boltzmann ◽  
Reduced Order Modeling ◽  
Reduced Order ◽  
Flow Simulations ◽  
Modeling Techniques
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