Results 41 to 50 of about 3,862 (118)
A Comparison between Two Reduction Strategies for Shrouded Bladed Disks
Applied Sciences, 2018 Shrouded bladed disks exhibit a nonlinear dynamic behavior due to the contact interfaces at shrouds between neighboring blades. As a result, reduced order models (ROMs) are mandatory to compute the response levels during the design phase for high cycle ...
Alessandro Sommariva, Stefano Zucca
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Reduced-Order Models and Conditional Expectation: Analysing Parametric Low-Order Approximations
ComputationSystems may depend on parameters that can be controlled, serve to optimise the system, are imposed externally, or are uncertain. This last case is taken as the “Leitmotiv” for the following discussion.A reduced-order model is produced from the full-order
Hermann G. Matthies
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ModSCO. Online Reduced Order Models (ROM) to Address the Performance Gap
Proceedings, 2019 This communication presents ModSCO, a web application that supports systematic energy performance evaluation using Reduced Order Models (ROM). These models are particularly useful in scenario with missing, incomplete or uncertain building information ...
Alessandro Piccinini +4 more
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Fluids, 2021 Simulating fluid flows in different virtual scenarios is of key importance in engineering applications. However, high-fidelity, full-order models relying, e.g., on the finite element method, are unaffordable whenever fluid flows must be simulated in ...
Stefania Fresca, Andrea Manzoni
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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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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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Reduced-order modeling of soft robots
PLOS ONE, 2018 We present a general strategy for the modeling and simulation-based control of soft robots. Although the presented methodology is completely general, we restrict ourselves to the analysis of a model robot made of hyperelastic materials and actuated by cables or tendons. To comply with the stringent real-time constraints imposed by control algorithms, a
Chenevier, Jean +4 more
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High fidelity adaptive mirror simulations with reduced order models
Journal of Mathematics in IndustryIn the design process of large adaptive mirrors numerical simulations represent the first step to evaluate the system design compliance in terms of performance, stability and robustness.
Bernadett Stadler +5 more
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Energies, 2014 Wind power has achieved technological evolution, and Grid Code (GC) requirements forced wind industry consolidation in the last three decades. However, more studies are necessary to understand how the dynamics inherent in this energy source interact with
Heverton A. Pereira +3 more
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Thermal field reconstruction and compressive sensing using proper orthogonal decomposition
Frontiers in Energy ResearchModel order reduction allows critical information about sensor placement and experiment design to be distilled from raw fluid mechanics simulation data.
John Matulis, Hitesh Bindra
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