Material destruction with analytical AI of Digital twin for its application to mechanical engineering

Wako Takanashi; Yasuhiro Umeda; Harumi Yashiro; Satoshi Nishimura

doi:10.1299/jsmemecj.2024.J012-03

2024

Session ID : J012-03

DOI https://doi.org/10.1299/jsmemecj.2024.J012-03

Conference information

Host: The Japan Society of Mechanical Engineers

Name : [in Japanese]

Date : September 08, 2024 - September 11, 2024

Material destruction with analytical AI of Digital twin for its application to mechanical engineering

Wako Takanashi, Yasuhiro Umeda, Harumi Yashiro, Satoshi Nishimura

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Keywords: Material failure, Log-normal distribution, Digital twin, Symbol grounding problem

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Abstract

The progress of material failure is modeled as an AI for symbol grounding problem, and the historical situation of material failure is analyzed for the acoustic radiation analysis. The effect of radiating fracture energy as a log-normal distribution is applied to digital twins In mechanical engineering.

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