자료유형 | E-Book |
---|---|
개인저자 | Owoyele, Opeoluwa. |
단체저자명 | North Carolina State University. Mechanical Engineering. |
서명/저자사항 | Accelerating the Simulation of Chemically Reacting Turbulent Flows via Machine Learning Techniques. |
발행사항 | [S.l.] : North Carolina State University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 223 p. |
소장본 주기 | School code: 0155. |
ISBN | 9780438283886 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Tarek Echekki. |
요약 | Turbulent reacting flows constitute one of the most complex classes of engineering problems because they combine the chaotic process of turbulence with stiff, highly nonlinear chemical kinetics. The presence of a large number of species -- leadi |
일반주제명 | Mechanical engineering. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15001289 |