Numerical modelling of dynamic ductile fracture propagation in different lab-scale experiments using GTN damage model

被引:9
|
作者
Paermentier, Benoit [1 ]
Debruyne, Dimitri [1 ]
Talemi, Reza [1 ]
机构
[1] Katholieke Univ Leuven, Dept Mat Engn, Leuven, Belgium
来源
FRATTURA ED INTEGRITA STRUTTURALE | 2020年 / Gruppo Italiano Frattura卷 / 52期
关键词
Ductile fracture; High strength steel; FEM; Fracture toughness; GTN; PIPELINE-STEEL;
D O I
10.3221/IGF-ESIS.52.09
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Initiation and propagation of ductile fractures are major consideration during the design of high-pressure pipelines. Consequences of a pipeline failure can be catastrophic thus structural integrity must be ensured over several decades. Traditional lab-scale experiments such as the Charpy V-Notch (CVN) and Drop Weight Tear Test (DWTT), impact experiments on a notched three- point bending sample, are widely used to measure the fracture toughness of a material. However, with increasing wall thickness and the transition to high-grade steels in the pipeline industry, the size-effect of the specimen and inverse fracture became prominent issues. A new testing methodology called the Dynamic Tensile Tear Test (DT3) is currently investigated as to address the issues presented by the current state of the art. In this study, a numerical investigation is conducted on the CVN, DWTT and DT3 experiments to compare the modelling of dynamic ductile fracture propagation in three different testing scales using the Gurson-Tvergaard-Needleman (GTN) damage model. X70 and X100 pipeline steel grades are used to model material behaviour. For each considered lab-scale experiment, the dynamic ductile fracture behaviour was successfully reproduced using the GTN damage model.
引用
收藏
页码:105 / 112
页数:8
相关论文
共 22 条
  • [21] Deep neural networks-based damage detection using vibration signals of finite element model and real intact state: An evaluation via a lab-scale offshore jacket structure
    Mousavi, Zohreh
    Varahram, Sina
    Ettefagh, Mir Mohammad
    Sadeghi, Morteza H.
    Razavi, Seyed Naser
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2021, 20 (01): : 379 - 405
  • [22] 3D meso-scale fracture modelling and validation of concrete based on in-situ X-ray Computed Tomography images using damage plasticity model
    Huang, Yujie
    Yang, Zhenjun
    Ren, Wenyuan
    Liu, Guohua
    Zhang, Chuanzeng
    INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2015, 67-68 : 340 - 352