Mechanical Engineering Journal
Online ISSN : 2187-9745
ISSN-L : 2187-9745
ICONE30
Development of element functions and design optimization procedures for knowledge- and AI-aided advanced reactor lifecycle optimization method, ARKADIA
Masaaki TANAKAYasuhiro ENUMAYasushi OKANOAkihiro UCHIBORIKenji YOKOYAMAAkiyuki SEKITakashi WAKAITai ASAYAMA
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JOURNAL OPEN ACCESS

2024 Volume 11 Issue 2 Pages 23-00424

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Abstract

Japan Atomic Energy Agency (JAEA) is developing an artificial intelligence (AI) aided integrated digital system: “Advanced Reactor Knowledge- and AI-aided Design Integration Approach through the whole plant lifecycle (ARKADIA)”, to provide the best possible solutions for challenges arising during the design process, safety assessment, and operation of a nuclear plant over its life cycle. Until 2023, the platform for a common function and subsystems, namely ARKADIA-Design for design study, ARKADIA-Safety for safety assessment, and ARKADIA-knowledge management system (KMS) for the knowledge base, are separately being developed. This paper describes the development concepts of the platform, the progress of the application study of design optimization in ARKADIA-Design, the progress of optimization model development and optimization functionality based on AI technology in ARKADIA-Safety, and the structure of the knowledge base and application of AI technology to ARKADIA-KMS. In subsystems, necessary modules and process integration to obtain an optimal solution in a designated problem of plant design have been advanced. For further development, a strategy for unifying the subsystems with the AI-aided platform into one system, ARKADIA, and the extension of capabilities of the numerical analyses and evaluation technologies required for plant design until 2028 are presented.

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© 2024 The Japan Society of Mechanical Engineers

This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license.
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