# Application of extreme value statistics to internal pore distribution in ceramics and prediction of size dependency of strength scatter

https://mdr.nims.go.jp/datasets/f98d7067-3c3f-4e54-8ce9-407bc59ec36a

## File

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## Id

f98d7067-3c3f-4e54-8ce9-407bc59ec36a

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-12-23T05:12:57.791536Z

## Updated at

2025-12-09T23:30:46.425956Z

## Published at

2025-12-09T23:23:53.658838Z

## Doi

https://doi.org/10.48505/nims.5207

## First published url

https://doi.org/10.1016/j.jeurceramsoc.2023.12.021

## Date published

2023-12-10

## Recorded date published

2024-5

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Application of extreme value statistics to internal pore distribution in
    ceramics and prediction of size dependency of strength scatter
  title_type: original
  lang: en

## Description

- description: To implement ceramics into high reliability components, it is necessary
    to understand the strength scatter, which is caused by stochastic distribution
    of defects in ceramics. In this study, we proposed a numerical simulation method
    to predict the strength scatter of ceramics, including size-dependency, by combining
    internal microstructural data observed using X-ray computed tomography (X-Ray
    CT) and scanning electron microscopy (SEM) with a fracture mechanics model. In
    particular, the Generalized Pareto (GP) model, a type of extreme value statistics,
    was applied to the treatment of three-dimensional distribution of size of pores,
    which might be origin of fracture. We then predict the bending strength of four
    kinds of bending test with different effective volumes and conmapred with exprimental
    results. In addition, the predictive performance for the lower limit of fracture
    strength was also discussed. Meanwhile, the method was also applied to specimen
    models with different discretization sizes to verify the advantage of GP model.
    The results demonstrate the effectiveness of the proposed method for ‘specimen
    size dependence of bending strength’ and ‘specimen discretization size independence’.
  description_type: abstract
  lang: und

## Creator

- name: Chihiro Ito
  role: author
- name: Taiyo Maeda
  role: author
- name: Ryunosuke Higashi
  role: author
- name: Toshio Osada
  role: author
  orcid: https://orcid.org/0000-0003-1539-9264
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Takuma Kohata
  role: author
  organization: National Institute for Materials Science
- name: Shingo Ozaki
  role: author

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: Strength analysis
  schema: not_defined
- subject: defects, extreme value statistics
  schema: not_defined
- subject: Weibull distribution
  schema: not_defined
- subject: size dependency
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2023-12-10
end_date: 2025-12-10

## Journal

- title: Journal of the European Ceramic Society
  issn: '09552219'
  volume: '44'
  issue: '5'
  start_page: 3381
  end_page: 3392

## Conference



## Related item



## Funding

- funder_name: New Energy and Industrial Technology Development Organization

## 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



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## Thumbnail

fileset_id: 608db35e-e720-4acf-94f6-01d38cdbb29b
filename: Figures_JECESOC-D-23-02070_R1.pptx