KOC, Pino ;ŠTOK, Boris . Usage of the yield curve in numerical simulations. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 54, n.12, p. 821-829, august 2017. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/usage-of-the-yield-curve-in-numerical-simulations/>. Date accessed: 04 oct. 2024. doi:http://dx.doi.org/.
Koc, P., & Štok, B. (2008). Usage of the yield curve in numerical simulations. Strojniški vestnik - Journal of Mechanical Engineering, 54(12), 821-829. doi:http://dx.doi.org/
@article{., author = {Pino Koc and Boris Štok}, title = {Usage of the yield curve in numerical simulations}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {54}, number = {12}, year = {2008}, keywords = {tensile testing; yield curve; inverse identification method; deep drawing; }, abstract = {A comparison of two approaches used in the yield curve characterization of thesame material is given in the paper. The first approach is commonly used Ludwig's law with the extension over large strains based on the pre-necking response of a tensile test specimen, whereas the second approach is inverse identification which is based on the post-necking behaviour of the same tensile test specimen. Features of both approaches are examined in the tensile test and deep drawing simulations. In the tensile test simulation the inverse identification method proved to be superior over Ludwig's law. The deep drawing simulation demonstrates how inappropriate yield curve usage leads to wrong predictions.}, issn = {0039-2480}, pages = {821-829}, doi = {}, url = {https://www.sv-jme.eu/sl/article/usage-of-the-yield-curve-in-numerical-simulations/} }
Koc, P.,Štok, B. 2008 August 54. Usage of the yield curve in numerical simulations. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 54:12
%A Koc, Pino %A Štok, Boris %D 2008 %T Usage of the yield curve in numerical simulations %B 2008 %9 tensile testing; yield curve; inverse identification method; deep drawing; %! Usage of the yield curve in numerical simulations %K tensile testing; yield curve; inverse identification method; deep drawing; %X A comparison of two approaches used in the yield curve characterization of thesame material is given in the paper. The first approach is commonly used Ludwig's law with the extension over large strains based on the pre-necking response of a tensile test specimen, whereas the second approach is inverse identification which is based on the post-necking behaviour of the same tensile test specimen. Features of both approaches are examined in the tensile test and deep drawing simulations. In the tensile test simulation the inverse identification method proved to be superior over Ludwig's law. The deep drawing simulation demonstrates how inappropriate yield curve usage leads to wrong predictions. %U https://www.sv-jme.eu/sl/article/usage-of-the-yield-curve-in-numerical-simulations/ %0 Journal Article %R %& 821 %P 9 %J Strojniški vestnik - Journal of Mechanical Engineering %V 54 %N 12 %@ 0039-2480 %8 2017-08-21 %7 2017-08-21
Koc, Pino, & Boris Štok. "Usage of the yield curve in numerical simulations." Strojniški vestnik - Journal of Mechanical Engineering [Online], 54.12 (2008): 821-829. Web. 04 Oct. 2024
TY - JOUR AU - Koc, Pino AU - Štok, Boris PY - 2008 TI - Usage of the yield curve in numerical simulations JF - Strojniški vestnik - Journal of Mechanical Engineering DO - KW - tensile testing; yield curve; inverse identification method; deep drawing; N2 - A comparison of two approaches used in the yield curve characterization of thesame material is given in the paper. The first approach is commonly used Ludwig's law with the extension over large strains based on the pre-necking response of a tensile test specimen, whereas the second approach is inverse identification which is based on the post-necking behaviour of the same tensile test specimen. Features of both approaches are examined in the tensile test and deep drawing simulations. In the tensile test simulation the inverse identification method proved to be superior over Ludwig's law. The deep drawing simulation demonstrates how inappropriate yield curve usage leads to wrong predictions. UR - https://www.sv-jme.eu/sl/article/usage-of-the-yield-curve-in-numerical-simulations/
@article{{}{.}, author = {Koc, P., Štok, B.}, title = {Usage of the yield curve in numerical simulations}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {54}, number = {12}, year = {2008}, doi = {}, url = {https://www.sv-jme.eu/sl/article/usage-of-the-yield-curve-in-numerical-simulations/} }
TY - JOUR AU - Koc, Pino AU - Štok, Boris PY - 2017/08/21 TI - Usage of the yield curve in numerical simulations JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 54, No 12 (2008): Strojniški vestnik - Journal of Mechanical Engineering DO - KW - tensile testing, yield curve, inverse identification method, deep drawing, N2 - A comparison of two approaches used in the yield curve characterization of thesame material is given in the paper. The first approach is commonly used Ludwig's law with the extension over large strains based on the pre-necking response of a tensile test specimen, whereas the second approach is inverse identification which is based on the post-necking behaviour of the same tensile test specimen. Features of both approaches are examined in the tensile test and deep drawing simulations. In the tensile test simulation the inverse identification method proved to be superior over Ludwig's law. The deep drawing simulation demonstrates how inappropriate yield curve usage leads to wrong predictions. UR - https://www.sv-jme.eu/sl/article/usage-of-the-yield-curve-in-numerical-simulations/
Koc, Pino, AND Štok, Boris. "Usage of the yield curve in numerical simulations" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 54 Number 12 (21 August 2017)
Strojniški vestnik - Journal of Mechanical Engineering 54(2008)12, 821-829
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
A comparison of two approaches used in the yield curve characterization of thesame material is given in the paper. The first approach is commonly used Ludwig's law with the extension over large strains based on the pre-necking response of a tensile test specimen, whereas the second approach is inverse identification which is based on the post-necking behaviour of the same tensile test specimen. Features of both approaches are examined in the tensile test and deep drawing simulations. In the tensile test simulation the inverse identification method proved to be superior over Ludwig's law. The deep drawing simulation demonstrates how inappropriate yield curve usage leads to wrong predictions.