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Data-Driven Analysis Methodologies for Unsteady Aerodynamics from High Fidelity Simulations
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Mohan, Arvind Thanam. |
| 단체저자명 | The Ohio State University. Aero/Astro Engineering. |
| 서명/저자사항 | Data-Driven Analysis Methodologies for Unsteady Aerodynamics from High Fidelity Simulations. |
| 발행사항 | [S.l.] : The Ohio State University., 2017 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2017 |
| 형태사항 | 275 p. |
| 소장본 주기 | School code: 0168. |
| ISBN | 9780438098732 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Datta Gaitonde. |
| 요약 | Numerical methods and computational approaches for studying fluid flow have become increasingly popular and more mature in their capabilities since the 1960s, when the prohibitive experimental costs associated with flight vehicle development pro |
| 요약 | First, model reduction as an effective means to study complex, realistic flows is investigated. The recently popularized model reduction technique, Dynamic Mode Decomposition (DMD) has been given special emphasis in addition to the well known Pr |
| 요약 | Apart from model reduction for physics extraction, a major emphasis of this work has been on analysis of non-stationary signals arising from turbulent flows. Despite Fast Fourier Transform (FFT) and DMD being effective tools to study local and g |
| 요약 | Although EMD proves to be a useful solution for feature extraction from non-stationary signals, it has some significant practical limitations. A crucial impediment is that EMD in its basic form can be applied only for univariate/single-channel d |
| 일반주제명 | Aerospace engineering. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000333 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00028126 | 629.1 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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