# Inverse-problem approach for stress-partitioning analysis using stress–strain curve of TRIP steel

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## File

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## Id

85b4232a-5c00-4c60-b180-a758495721a5

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-08-22T01:38:53.890059Z

## Updated at

2026-08-24T23:38:07.061821Z

## Published at

2026-08-24T07:27:42.927441Z

## Doi



## First published url

https://doi.org/10.1016/j.ijmecsci.2026.111528

## Date published

2026-03-20

## Recorded date published

2026-5

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Inverse-problem approach for stress-partitioning analysis using stress–strain
    curve of TRIP steel
  title_type: original
  lang: en

## Description

- description: 'An inverse-problem approach is proposed wherein a computational model
    of the stress–strain (SS) curve of a twophase composite material is fitted to
    experimental data on the SS curve of metastable austenitic stainless steel for
    estimating the SS curves of individual phases of fcc-γ and deformation-induced
    bcc-α’, as well as the change in the volume fraction of the α’ phase (f(αʹ) )
    with increasing strain. The proposed method was applied to the SS curves of two
    types of TRIP steels: Fe–18Cr–8Ni–0.1C (mass%) alloy (0.1C steel) and Fe–18Cr–8Ni–0.1
    N (mass %) alloy (0.1 N steel). The SS curves of individual phases (γ and α’)
    were estimated to reproduce the overall SS curve of TRIP steel reported in a literature.
    The estimated flow stress of the α’ phase for 0.1C steel significantly exceeded
    that for 0.1 N steel, indicating that carbon addition is more effective than nitrogen
    addition in strengthening the deformation-induced α’ phase. Additionally, the
    proposed method allowed us to examine the phase stress (stress partitioning between
    the γ and α’ phases) during tensile deformation. Further, the change in f(αʹ)
    during tensile deformation was estimated, and the results closely matched the
    experimental data from the literature. The increase rate of f(αʹ) in 0.1C steel
    is lower than that in 0.1 N steel, which is essential information for optimizing
    the strength–ductility balance of TRIP steel.'
  description_type: abstract
  lang: und

## Creator

- name: Reo Kawamoto
  role: author
- name: Yuhki Tsukada
  role: author
- name: Toshiyuki Koyama
  role: author
  orcid: https://orcid.org/0000-0001-7424-4858
  organization: National Institute for Materials Science
- name: Dasom Kim
  role: author
- name: Naoki Takata
  role: author

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: Steel
  schema: not_defined
- subject: Secant method
  schema: not_defined
- subject: Deformation-induced martensitic transformation
  schema: not_defined
- subject: Stress partitioning
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by-nc-nd/4.0/
  date_licensed: 2026-03-19

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: International Journal of Mechanical Sciences
  issn: '00207403'
  volume: '318'
  article_number: '111528'

## Conference



## Related item



## Funding

- identifier: JPMXP1122684766
  funder_name: Government of Japan Ministry of Education Culture Sports Science and
    Technology

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## Fileset

- id: b66b9581-b8a6-4e73-aec8-ba014cd9093e
  filename: Inverse-problem approach for stress-partitioning analysis using.pdf
  content_type: application/pdf
  size: 4359628
  md5: ca245182ccd9fb436905dfa668c8e147

## Thumbnail

fileset_id: b66b9581-b8a6-4e73-aec8-ba014cd9093e
filename: Inverse-problem approach for stress-partitioning analysis using.pdf