자료유형 | E-Book |
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개인저자 | Li, Jason. |
단체저자명 | Rensselaer Polytechnic Institute. Aeronautical Engineering. |
서명/저자사항 | Stochastic Variational Multiscale Method for Error Estimation and Adaptivity in Uncertain Transport Problems. |
발행사항 | [S.l.] : Rensselaer Polytechnic Institute., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 147 p. |
소장본 주기 | School code: 0185. |
ISBN | 9780438206571 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Onkar Sahni. |
요약 | The 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 |
요약 | In 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 |
요약 | Similarly, 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 |
일반주제명 | Computer engineering. Fluid mechanics. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997414 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
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1 | WE00026833 | 621.3 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |