Novel Bayesian Statistical Analysis on Acoustic Emission Data during Dwell-fatigue of Ti-6Al-4V Alloys

Presentation information

Poster Session

A. New Materials Methodology for Next-Generation » [A-2] Materials Integration: Prediction and Design for Structural Materials through Data Science

Tue. Dec 14, 2021 6:30 PM - 8:30 PM A2-PR15 (G403-404)

6:30 PM - 8:30 PM

*Haoyu Hu¹, Fabien Briffod¹, Takayuki Shiraiwa¹, Manabu Enoki¹ (1. The Univ. of Tokyo (Japan))

Keywords:Ti-6Al-4V, dwell-fatigue, acoustic emission, MCMC, Bayesian inference

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