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

https://mdr.nims.go.jp/datasets/7ac60bcd-4541-4495-8108-c74e1fe34891

## Files

- [65_ISIJINT-2025-110.pdf](https://mdr.nims.go.jp/filesets/d7c92e50-efbc-43ac-aff3-e9896caed635/download) ([Detail](https://mdr.nims.go.jp/filesets/d7c92e50-efbc-43ac-aff3-e9896caed635.md))

## Id

7ac60bcd-4541-4495-8108-c74e1fe34891

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-10-01T01:49:34.844831Z

## Updated at

2025-10-01T07:30:33.665024Z

## Published at

2025-10-01T07:23:27.947324Z

## Doi



## First published url

https://doi.org/10.2355/isijinternational.isijint-2025-110

## Date published

2025-09-15

## Recorded date published

2025

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Novel Bayesian Statistical Analysis on Acoustic Emission Data during Dwell-fatigue
    of Ti-6Al-4V Alloys
  title_type: original
  lang: en

## Description

- description: 'Load hold at peak stress can drastically reduce the fatigue life of
    Ti-6Al-4V alloys, a phenomenon known as dwell-fatigue life debit. Unlike normal
    fatigue, dwell-fatigue exhibits a characteristic three-stage strain accumulation
    curve: an initial rapid strain increase (primary), followed by a steady strain-increase
    (secondary), and finally an accelerated stage leading to failure (tertiary). In
    the current study, flat specimens made out of three distinct microstructures of
    Ti-6Al-4V alloys were subjected to uniaxial fatigue load with 120-second peak
    stress hold and 0.1 load ratio with real-time acoustic emission (AE) measurement.
    The microstructures, namely, equiaxed, bimodal, and lamellar, were tailored through
    different heat treatment procedures. Bayesian statistical analysis of AE data
    enabled both the detection of stage transition points using Markov chain Monte
    Carlo (MCMC) simulation and the selection of strain accumulation models through
    replica MCMC method. The results demonstrated that two change-points detected
    showed strong correlation with the transitions in the creep-like three-stage curve
    of strain accumulation. The strain accumulation behavior was successfully predicted
    using AE parameters. Furthermore, average frequency proved crucial in monitoring
    the beginning of dwell-fatigue process.'
  description_type: abstract
  lang: und

## Creator

- name: Haoyu Hu
  role: author
  orcid: https://orcid.org/0000-0002-7361-8720
- name: Fabien Briffod
  role: author
  orcid: https://orcid.org/0000-0002-3635-4885
- name: Takayuki Shiraiwa
  role: author
  orcid: https://orcid.org/0000-0002-0999-0798
- name: Manabu Enoki
  role: author
  orcid: https://orcid.org/0000-0001-6929-114X

## Contact agent



## Publisher

organization: Iron and Steel Institute of Japan

## Managing organization



## Keyword

- subject: Ti-6Al-4V
  schema: not_defined
- subject: Dwell-fatigue
  schema: not_defined
- subject: Acoustic emission
  schema: not_defined
- subject: Strain accumulation
  schema: not_defined
- subject: Bayesian statistics
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: ISIJ International
  issn: '09151559'
  volume: '65'
  issue: '10'
  article_number: ISIJINT-2025-110

## Conference



## Related item



## Funding



## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: d7c92e50-efbc-43ac-aff3-e9896caed635
  filename: 65_ISIJINT-2025-110.pdf
  content_type: application/pdf
  size: 5087429
  md5: 4126e880a200cb73b7bb6840a1d2529c

## Thumbnail

fileset_id: d7c92e50-efbc-43ac-aff3-e9896caed635
filename: 65_ISIJINT-2025-110.pdf