The Proceedings of the International Conference on Nuclear Engineering (ICONE)
Online ISSN : 2424-2934
2023.30
Session ID : 1076
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DEVELOPMENT OF ELEMENT FUNCTIONS AND DESIGN OPTIMIZATION PROCEDURES WITH KNOWLEDGE- AND AI-AIDED DESIGN INTEGRATION APPROACH FOR ADVANCED REACTOR LIFECYCLE IN ARKADIA
Masaaki TanakaYasuhiro EnumaYasushi OkanoAkihiro UchiboriKenji YokoyamaAkiyuki SekiTakashi WakaiTai Asayama
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Abstract

In Japan Atomic Energy Agency (JAEA), an artificial intelligence (AI) aided integrated digital system named “Advanced Reactor Knowledge- and AI-aided Design Integration Approach through the whole plant lifecycle (ARKADIA)” is being developed to offer 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 the sub-systems: the ARKADIA-Design for design study, the ARKADIA-Safety for safety assessment, and the ARKADIA-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 developments and optimization functionality based on AI technology in the ARKADIA-Safety, and the structure of the knowledge base and application of AI technology to the ARKADIA-KMS. In the development of ARKADIA for the next five years until 2028, a strategy of unification of the sub-systems with the AI-aided platform to one system, ARKADIA, and the extension of capabilities of the numerical analyses and evaluation technologies required for plant design are presented in prospects.

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© 2023 The Japan Society of Mechanical Engineers
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