Results 51 to 60 of about 3,862 (118)
Using the Neumann series expansion for assembling Reduced Order Models
Applied and Computational Mechanics, 2014 An efficient method to remove the limitation in selecting the master degrees of freedom in a finite element model by means of a model order reduction is presented.
Nasisi S., Valášek M., Vampola T.
doaj
Parametric Generation of Datasets for the Creation of Reduced Order Models of Rubber-Metal Elements
Journal of Mechanical EngineeringThe work deals with the parametric generation of datasets, which are used for creation of reduced order models (ROM) of rubber-metal elements (RME). First chapter describes the standard development process and advantages of implementing ROM into this ...
Danko Ján +6 more
doaj +1 more source
Reduced Order Modeling of an Industrial Feeder Model
IFAC Proceedings Volumes, 2003 Models of glaes furnaces are described by a set of nonlinear partial differential equâtioris which govern the mass, momentum and energy balances and a numberof non-linear functions of the independent scalais which describe the dependent variables like viscosities and densities in a fluid.
Astrid, P., Weiland, S., Twerda, A.
openaire +3 more sources
Characterizing Wake Behavior of Adaptive Aerodynamic Structures Using Reduced-Order Models
EnergiesIn recent times, blades that have the ability to change shape passively or actively have garnered interest due to their ability to optimize blade performance for varying flow conditions.
Kyan Sadeghilari, Aditya Atre, John Hall
doaj +1 more source
Multi-fidelity reduced-order surrogate modelling
Proceedings of the Royal Society A: Mathematical, Physical and Engineering SciencesHigh-fidelity numerical simulations of partial differential equations (PDEs) given a restricted computational budget can significantly limit the number of parameter configurations considered and/or time window evaluated. Multi-fidelity surrogate modelling aims to leverage less accurate, lower-fidelity models that are computationally ...
Paolo Conti +5 more
openaire +5 more sources
Accelerated construction of projection-based reduced-order models via incremental approaches
Advanced Modeling and Simulation in Engineering SciencesWe present an accelerated greedy strategy for training of projection-based reduced-order models for parametric steady and unsteady partial differential equations.
Eki Agouzal, Tommaso Taddei
doaj +1 more source
Design of Input Signal for System Identification of a Generic Fighter Configuration
AerospaceThis article investigates the design of time-accurate input signals in the angle-of-attack and pitch rate space to identify the aerodynamic characteristics of a generic triple-delta wing configuration at subsonic speeds.
Mehdi Ghoreyshi +2 more
doaj +1 more source
Hyporheic Flows in Stratified Sediments: Implications on Residence Time Distributions
Water Resources ResearchThe fate of nutrients and contaminants in fluvial ecosystems is strongly affected by the mixing dynamics between surface water and groundwater within the hyporheic zone, depending on the combination of the sediment's hydraulic heterogeneity and dune ...
Alessandra Marzadri +2 more
doaj +1 more source
PharmaceuticalsBackground/Objectives: Glidants and lubricants are commonly used pharmaceutical excipients that enhance powder flowability and reduce inter-particle friction, respectively, but they also negatively impact critical quality attributes such as tablet ...
Sunidhi Bachawala +2 more
doaj +1 more source
Koopman Reduced-Order Modeling with Confidence Bounds
SIAM Journal on Applied Dynamical SystemsThis paper introduces a reduced order modeling technique based on Koopman operator theory that gives confidence bounds on the model's predictions. It is based on a data-driven spectral decomposition of the Koopman operator. The reduced order model is constructed using a finite number of Koopman eigenvalues and modes, while the rest of spectrum is ...
Mohr, Ryan +2 more
openaire +2 more sources