LDR | | 02317nmm uu200409 4500 |
001 | | 000000333799 |
005 | | 20240805174547 |
008 | | 181129s2017 |||||||||||||||||c||eng d |
020 | |
▼a 9780438098732 |
035 | |
▼a (MiAaPQ)AAI10901935 |
035 | |
▼a (MiAaPQ)OhioLINK:osu1512058039822368 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 629.1 |
100 | 1 |
▼a Mohan, Arvind Thanam. |
245 | 10 |
▼a Data-Driven Analysis Methodologies for Unsteady Aerodynamics from High Fidelity Simulations. |
260 | |
▼a [S.l.] :
▼b The Ohio State University.,
▼c 2017 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2017 |
300 | |
▼a 275 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
500 | |
▼a Adviser: Datta Gaitonde. |
502 | 1 |
▼a Thesis (Ph.D.)--The Ohio State University, 2017. |
520 | |
▼a 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 |
520 | |
▼a 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 |
520 | |
▼a 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 |
520 | |
▼a 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 |
590 | |
▼a School code: 0168. |
650 | 4 |
▼a Aerospace engineering. |
690 | |
▼a 0538 |
710 | 20 |
▼a The Ohio State University.
▼b Aero/Astro Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0168 |
791 | |
▼a Ph.D. |
792 | |
▼a 2017 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000333
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |