자료유형  

 학위논문

Control Number  

0017164344

International Standard Book Number  

9798384041801

Dewey Decimal Classification Number  

530

Main Entry-Personal Name  

Price, Dean.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Michigan., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

334 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-03, Section: B.

General Note  

Advisor: Kochunas, Brendan.

Dissertation Note  

Thesis (Ph.D.)--University of Michigan, 2024.

Summary, Etc.  

요약This dissertation contributes to the advancement of digital twin technology for nuclear microreactors by introducing novel modeling methodologies aimed at facilitating the creation and efficient implementation of autonomous control strategies. The primary contributions of this dissertation span three technology areas: (1) surrogate modeling, (2) metaheuristic optimization, and (3) microreactor multiphysics. Surrogate models enable the calculation of control-relevant physical quantities at the timescales required for real-time control. Then metaheuristic optimizers can be applied to these surrogate models to find optimal reactor operating configurations to satisfy complex control requirements. Finally, while not suitable for real-time implementation, high fidelity microreactor multiphysics simulations can be used to gain a more realistic understanding of the behavior of the physical microreactor system. Various developments in these technology areas are presented throughout this dissertation including a control drum worth model which includes both data-driven and physically-based components and a model for heat pipe temperature prediction using active learning with deep neural network ensembles. In the area of metaheuristic optimization, a demonstration of the application of these metaheuristic optimizers to control problems is presented as well as a novel metaheuristic optimization algorithm which combines multiple independent evolutionary and swarm optimizers in an island-based model. Finally, a methodology for multiphysics simulations of nuclear microreactors is presented which includes an emphasis on depletion with the control drums in their critical positions.

Subject Added Entry-Topical Term  

Physics.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Nuclear engineering.

Subject Added Entry-Topical Term  

Thermodynamics.

Subject Added Entry-Topical Term  

Information technology.

Index Term-Uncontrolled  

Microreactors

Index Term-Uncontrolled  

Metaheuristic optimization

Index Term-Uncontrolled  

Multiphysics

Index Term-Uncontrolled  

Heat pipes

Index Term-Uncontrolled  

Burnup

Index Term-Uncontrolled  

Machine learning

Added Entry-Corporate Name  

University of Michigan Nuclear Engineering & Radiological Sciences

Host Item Entry  

Dissertations Abstracts International. 86-03B.

Electronic Location and Access  

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Control Number  

joongbu:657080