DX application to the field of nuclear materials and its issues (2)

Mori, Takero; Okajima, Satoshi; Kikuchi, Norihiro; Tanaka, Masaaki; Miyazaki, Masashi

doi:10.3327/jaesjb.64.10_572

Cited by 1 publication

(2 citation statements)

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“…As the first step of the development, a representative problem was defined to optimize the thickness of the reactor vessel against the thermal transient under a manual plant trip event under normal operating conditions and seismic motion using the plant conditions of an experienced SFR in Japan (Mori et al, 2022;Okajima et al, 2023;Kikuchi et al, 2023). Assessment of the structural integrity of components during their lifetime under various operating conditions is essential for achieving safe plant design.…”

Section: Structure Design Optimizationmentioning

confidence: 99%

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Development of element functions and design optimization procedures for knowledge- and AI-aided advanced reactor lifecycle optimization method, ARKADIA

TANAKA,

ENUMA,

OKANO

et al. 2024

Mechanical Engineering Journal

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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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Section: Structure Design Optimizationmentioning

confidence: 99%

“…Figure 5 shows the design optimization flowchart in four steps for the representative problem (Mori et al, 2022). In Step(1), an objective function for plant structure design is formulated using the failure probabilities of the components due to thermal transient and seismic loads.…”

Section: Structure Design Optimizationmentioning

confidence: 99%