Adaptiveh-refinement for reduced-order models
نویسندگان
چکیده
منابع مشابه
Adaptive $h$-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...
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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...
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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...
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ژورنال
عنوان ژورنال: International Journal for Numerical Methods in Engineering
سال: 2014
ISSN: 0029-5981
DOI: 10.1002/nme.4800