Reduced Order Models for Fast Antenna Characterization
نویسندگان
چکیده
منابع مشابه
Parametric Reduced-Order Models
We address the problem of propagating input uncertainties through a computational fluid dynamics model. Methods such as Monte Carlo simulation can require many thousands (or more) of computational fluid dynamics solves, rendering them prohibitively expensive for practical applications. This expense can be overcome with reduced-order models that preserve the essential flow dynamics. The specific...
متن کاملReduced-Order Subscales for POD models
In this work the Reduced-Order Subscales for Proper Orthogonal Decomposition models are presented. The basic idea consists in splitting the full-order solution into the part which can be captured by the reduced-order model and the part which cannot, the subscales, for which a model is required. The proposed model for the subscales is defined as a linear function of the solution of the reduced-o...
متن کاملAdaptive $h$-refinement for reduced-order models
This work presents a method to adaptively refine reduced-order models a posteriori without requiring additional full-order-model solves. The technique is analogous to mesh-adaptive h-refinement: it enriches the reduced-basis space online by ‘splitting’ a given basis vector into several vectors with disjoint support. The splitting scheme is defined by a tree structure constructed offline via rec...
متن کاملReduced - order models for closed - loop wake
References l.html#ref-list-1 http://rsta.royalsocietypublishing.org/content/369/1940/1513.ful This article cites 26 articles Rapid response 1940/1513 http://rsta.royalsocietypublishing.org/letters/submit/roypta;369/ Respond to this article Subject collections (173 articles) fluid mechanics (171 articles) mechanical engineering collections Articles on similar topics can be found in the fol...
متن کاملDesign Optimization Using Hyper-Reduced Order Models
1. Abstract Partial Differential Equation (PDE)-constrained optimization requires the solution of large-scale systems of equations at each iteration of the design process. The size of such systems scales with the dimension of the discretized model associated with the PDE and incurs large CPU costs and memory requirements. In the present work, projection-based reduced-order models (ROMs) [1] are...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Antennas and Propagation
سال: 2019
ISSN: 0018-926X,1558-2221
DOI: 10.1109/tap.2019.2922783