4.5 Article

A New Computational Method for Predicting Ductile Failure of 304L Stainless Steel

期刊

METALS
卷 12, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/met12081309

关键词

ductile fracture; elastoplastic constitutive model; modified Mohr-Coulomb model; numerical implementation; austenitic stainless steel

资金

  1. Ministry of Trade, Industry & Energy (MOTIE, Korea) [20006644, 20017575]
  2. Ministry of Oceans and Fisheries [KIMST-20220494]
  3. Korea Evaluation Institute of Industrial Technology (KEIT) [20017575, 20006644] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This study develops a computational method for the failure prediction of austenitic stainless steel sheet and successfully implements a numerical formulation of the elastoplastic-damage coupled constitutive model with fracture locus. The proposed method has been verified to be accurate and feasible through comparison with experimental results.
Austenitic stainless steel is useful for storing and transporting liquefied natural gas (LNG) at temperatures below -163 degrees C due to its superior low-temperature applications. This study develops a computational method for the failure prediction of 304L stainless steel sheet to utilize its usability as a design code for industrial purposes. To consider material degradation in a phenomenological way during the numerical calculation, the combined Swift-Voce equation was adopted to describe the nonlinear constitutive behavior beyond ultimate tensile strength. Due to the stress state-dependent fracture characteristics of ductile metal, a modified Mohr-Coulomb fracture criterion was adopted using stress triaxiality and Lode angle parameter. The numerical formulation of the elastoplastic-damage coupled constitutive model with fracture locus was implemented in the ABAQUS user-defined subroutine UMAT. To identify the material and damage parameters of constitutive models, a series of material tests were conducted considering various stress states. It has been verified that the numerical simulation results obtained by the proposed failure prediction methodology show good agreement with the experimental results for plastic behavior and fractured configuration.

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