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Springmann, M., Kuna, M. (2005) Identification of material parameters of the Gurson–Tvergaard–Needleman model by combined experimental and numerical techniques. Computational Materials Science, 32 (3). 544-552 doi:10.1016/j.commatsci.2004.09.010

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Reference TypeJournal (article/letter/editorial)
TitleIdentification of material parameters of the Gurson–Tvergaard–Needleman model by combined experimental and numerical techniques
JournalComputational Materials Science
AuthorsSpringmann, M.Author
Kuna, M.Author
Year2005 (March)Volume32
Issue3
PublisherElsevier BV
DOIdoi:10.1016/j.commatsci.2004.09.010Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9504044Long-form Identifiermindat:1:5:9504044:2
GUID0
Full ReferenceSpringmann, M., Kuna, M. (2005) Identification of material parameters of the Gurson–Tvergaard–Needleman model by combined experimental and numerical techniques. Computational Materials Science, 32 (3). 544-552 doi:10.1016/j.commatsci.2004.09.010
Plain TextSpringmann, M., Kuna, M. (2005) Identification of material parameters of the Gurson–Tvergaard–Needleman model by combined experimental and numerical techniques. Computational Materials Science, 32 (3). 544-552 doi:10.1016/j.commatsci.2004.09.010
In(2005, March) Computational Materials Science Vol. 32 (3) Elsevier BV

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Springmann, M., Kuna, M. (2005) Erratum to: “Identification of material parameters of the Gurson–Tvergaard–Needleman model by combined experimental and numerical techniques” [Comput. Mater. Sci. 32 (2005) 544–552]. Computational Materials Science, 33 (4). 500pp. doi:10.1016/j.commatsci.2005.02.003
Springmann, M., Kuna, M. (2005) Identification of material parameters of the Gurson–Tvergaard–Needleman model by combined experimental and numerical techniques. Computational Materials Science, 33 (4). 501-509 doi:10.1016/j.commatsci.2005.02.002
Springmann, M., Kuna, M. (2003) Identification of material parameters of the Rousselier model by non-linear optimization. Computational Materials Science, 26. 202-209 doi:10.1016/s0927-0256(02)00400-7
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Zhang, Tairui; Zheng, Weiwei; Shang, Xiandong; Zhang, Hao; Fu, Lingzhi; Wang, Qinghua (2025) The influence of long-term service exposure at elevated temperatures on Gurson-Tvergaard-Needleman (GTN) model parameters for P91 steels. Materials Science and Engineering: A, 946. doi:10.1016/j.msea.2025.149176
Franulović, Marina, Basan, Robert, Kunc, Robert, Prebil, Ivan (2010) Automation of LCF material model parameters’ identification. Computational Materials Science, 48 (3). 529-536 doi:10.1016/j.commatsci.2010.02.019
Zhuang, Xiaoying, Wang, Qing, Zhu, Hehua (2015) A 3D computational homogenization model for porous material and parameters identification. Computational Materials Science, 96. 536-548 doi:10.1016/j.commatsci.2014.04.059
Sérgio, Edmundo R., Antunes, Fernando V., Neto, Diogo M., Borges, Micael F. (2021) Study on the Influence of the Gurson–Tvergaard–Needleman Damage Model on the Fatigue Crack Growth Rate. Metals, 11 (8) 1183pp. doi:10.3390/met11081183
Wang, Can, Liu, Xin-gang, Gui, Jiang-tao, Xu, Zhe-feng, Guo, Bao-feng (2019) Influence of inclusions on matrix deformation and fracture behavior based on Gurson–Tvergaard–Needleman damage model. Materials Science and Engineering: A, 756. 405-416 doi:10.1016/j.msea.2019.04.056
(1995) A new failure criterion for the Gurson-Tvergaard dilational constitutive model. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 32 (8). doi:10.1016/0148-9062(95)99829-m
Sladek, Jan, Sladek, Vladimir, Zhang, Chuanzeng (2005) An advanced numerical method for computing elastodynamic fracture parameters in functionally graded materials. Computational Materials Science, 32 (3). 532-543 doi:10.1016/j.commatsci.2004.09.011
 
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