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Approximate Bayesian Computation for Parameter Estimation in Complex Thermal-fluid Systems

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자료유형E-Book
개인저자Christopher, Jason D.
단체저자명University of Colorado at Boulder. Mechanical Engineering.
서명/저자사항Approximate Bayesian Computation for Parameter Estimation in Complex Thermal-fluid Systems.
발행사항[S.l.] : University of Colorado at Boulder., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항178 p.
소장본 주기School code: 0051.
ISBN9780438383999
일반주기 Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Advisers: Peter E. Hamlington
요약A major challenge in computational fluid dynamics (CFD) simulations of real-world flows is the accurate assignment of boundary, initial, and geometric conditions, as well as fluid and material properties. Despite advances in experimental techniq
요약In this dissertation, the ABC approach is demonstrated for several engineering test cases to demonstrate its efficacy at determining unknown parameters in a wide variety of settings. As a simple initial case, the logistics equation is used to de
요약Moving on to industrial engineering applications, a three-dimensional turbulent buoyant jet with unknown temperature conditions is simulated using a Reynolds-averaged Navier Stokes (RANS) simulation. In this application, reference observations c
요약The ultimate application of ABC in this dissertation uses the technique to determine three-dimensional LES parameters based on comparisons with experimental observations. The experimental temperature data are obtained above an industrially-relev
요약These successes indicate that ABC can be extended to additional real-world engineering systems, even when only sparse observational data is available. Using ABC and reference data, one can accurately drive the selection of boundary conditions, a
일반주제명Fluid mechanics.
Thermodynamics.
Statistics.
언어영어
기본자료 저록Dissertation Abstracts International80-02B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T15000064

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