자료유형  

 학위논문

Control Number  

0014997414

International Standard Book Number  

9780438206571

Dewey Decimal Classification Number  

621.3

Main Entry-Personal Name  

Li, Jason.

Publication, Distribution, etc. (Imprint  

[Sl] : Rensselaer Polytechnic Institute, 2018

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2018

Physical Description  

147 p

General Note  

Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.

General Note  

Adviser: Onkar Sahni.

Dissertation Note  

Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018.

Summary, Etc.  

요약The focus of this work is the formulation and application of an adaptive approach based on the variational multiscale (VMS) method for stochastic PDEs with uncertain input data. Uncertainty leads to complicated solution behavior and features in

Summary, Etc.  

요약In this approach, we employ finite elements in the spatial domain and spectral approximation (based on generalized polynomial chaos) in the stochastic domain. The stochastic VMS method allows in computing an accurate solution while accounting fo

Summary, Etc.  

요약Similarly, a model term is derived to explicitly estimate the error in a local or element-wise fashion. This model term is approximated using the components of the stabilization parameter used in computing the numerical solution, making error es

Subject Added Entry-Topical Term  

Computer engineering

Subject Added Entry-Topical Term  

Fluid mechanics

Added Entry-Corporate Name  

Rensselaer Polytechnic Institute Aeronautical Engineering

Host Item Entry  

Dissertation Abstracts International. 79-12B(E).

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:555688