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Data-Driven Modeling of Nuclear System Thermal-Hydraulics
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Chang, Chih-Wei. |
| 단체저자명 | North Carolina State University. Nuclear Engineering. |
| 서명/저자사항 | Data-Driven Modeling of Nuclear System Thermal-Hydraulics. |
| 발행사항 | [S.l.] : North Carolina State University., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 184 p. |
| 소장본 주기 | School code: 0155. |
| ISBN | 9780438282834 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Nam T. Dinh. |
| 요약 | The goal of this work is to develop a methodology to enhance predictive power of datadriven nuclear system thermal-hydraulics (NSTH) simulation using machine learning. NSTH simulation is instrumental for reactor design, safety analysis, and oper |
| 요약 | The technical approach of the dissertation consists of three components. First, the technical background overview navigates the essential knowledge from related disciplines, including thermal-hydraulics models, system simulation, and machine lea |
| 요약 | Five machine learning frameworks for NSTH have been introduced in the dissertation including physics-separated ML (PSML or Type I ML), physics-evaluated ML (PEML or Type II ML), physics-integrated ML (PIML or Type III ML), physics-recovered (PRM |
| 요약 | Various numerical experiments are formulated ranging from system-level simulation to computational fluid dynamics (CFD) to exhibit the advantage of deep learning (DL) for model development. The case studies of system-level simulation using Type |
| 요약 | The CFD case study exhibits that the DL-based Reynolds stress model can assimilate millions of data points to reduce forecast error. Performance of the DL-based stress can be quantified by flow features coverage mapping. The results show that Re |
| 일반주제명 | Nuclear engineering. Mechanical engineering. Aerospace engineering. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15001259 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00026521 | 539.76 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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