Reduced Order Model Approach for Efficient Aircraft Loads Prediction [PDF]
, 2015 Flight loads calculations play a fundamental role in the development and certification of an aircraft and have an impact on the structural sizing and weight.
Castellani, Michele +2 more
core +2 more sources
Nonlinear observer for hydropower system [PDF]
Modeling, Identification and Control, 2019 Estimation of unmeasured states plays an essential role in the design of control systems as well as for monitoring of hydropower plants. The standard Kalman filter gives the optimum state estimates for linear systems.
Liubomyr Vytvytskyi +2 more
doaj +1 more source
Passivity-preserving parameterized model order reduction using singular values and matrix interpolation [PDF]
, 2013 We present a parameterized model order reduction method based on singular values and matrix interpolation. First, a fast technique using grammians is utilized to estimate the reduced order, and then common projection matrices are used to build ...
Dhaene, Tom +3 more
core +1 more source
Estimating flow fields with reduced order models
Heliyon, 2023 The estimation of fluid flows inside a centrifugal pump in realtime is a challenging task that cannot be achieved with long-established methods like CFD due to their computational demands. We use a projection-based reduced order model (ROM) instead.
Kamil David Sommer +4 more
openaire +4 more sources
A piecewise-linear reduced-order model of squeeze-film damping for deformable structures including large displacement effects [PDF]
, 2008 This paper presents a reduced-order model for the Reynolds equation for deformable structure and large displacements. It is based on the model established in [11] which is piece-wise linearized using two different methods. The advantages and drawbacks of
Alexia Missoffe +17 more
core +6 more sources
Reduced order model for hard magnetic films
AIP AdvancesIn the pursuit of rare earth-lean permanent magnets for green technologies, microstructural optimisation offers a promising strategy to enhance coercivity while minimising critical element content.
H. Moustafa +11 more
doaj +1 more source
A reduced order model for fission gas diffusion in columnar grains
Nuclear Engineering and Technology, 2023 In fast reactors, restructuring of the fuel micro-structure driven by high temperature and high temperature gradient can cause the formation of columnar grains.
D. Pizzocri +6 more
doaj +1 more source
Progressive construction of a parametric reduced-order model for PDE-constrained optimization [PDF]
, 2014 An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is introduced that breaks the traditional offline-online framework of model order reduction.
Farhat, Charbel, Zahr, Matthew J.
core
Reduced Density Matrices and Topological Order in a Quantum Dimer Model
, 2006 Resonating valence bond (RVB) liquids in two dimensions are believed to exhibit topological order and to admit no local order parameter of any kind.
Grégoire Misguich +3 more
core +3 more sources
Energy preserving model order reduction of the nonlinear Schr\"odinger equation [PDF]
, 2018 An energy preserving reduced order model is developed for two dimensional nonlinear Schr\"odinger equation (NLSE) with plane wave solutions and with an external potential.
Karasözen, Bülent, Uzunca, Murat
core +2 more sources