Derivation of Over Pack Corrosion Model using Artificial Intelligence

Abstract

Aerobic and anaerobic general corrosion analysis models for carbon steel over pack for deep geological repository were derived using Artificial Intelligence technology. The derived models were utilized for trace analysis of experimental corrosion data and statistical corrosion analysis of analogue data from Yamato 6th tumulus. This study proposed AI technology utilization for corrosion analysis models, and presented procedure of statistical corrosion analysis and procedure to trace analogue data using corrosion analysis models. Furthermore, issues that underlying in analysis models derived from AI technology was discussed and presented possible direction of AI technology utilization for this purpose.