DataVXJournal of Materials Engineering and PerformancePaper
journal article·2025-08

Method of Finite Element Model Updating for Identifying the Parameters of Modified Johnson–Cook Constitutive Equation

Dong-Seok Shin, Euy-Sik Jeon, Young-Shin Kim

Journal of Materials Engineering and Performance· Volume 34· Issue 16
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OpenAlex topics: High-Velocity Impact and Material Behavior · Geotechnical and Geomechanical Engineering · Tunneling and Rock Mechanics

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References (47)

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1. J.H. Kim, A. Serpantié, F. Barlat, F. Pierron and M.-G. Lee, Characterization of the Post-Necking Strain Hardening Behavior Using the Virtual Fields Method, Int. J. Solids Struct., 2013, 50(24), p 3829–3842. https://doi.org/10.1016/j.ijsolstr.2013.07.01810.1016/j.ijsolstr.2013.07.018 ↗
2. Mu. Zhenkai, J. Zhao, Q. Meng, X. Huang and Yu. Gaochao, Applicability of Hill48 Yield Model and Effect of Anisotropic Parameter Determination Methods on Anisotropic Prediction, J. Mater. Eng. Perform., 2022, 31, p 2023–2042. https://doi.org/10.1007/s11665-021-06366-z10.1007/s11665-021-06366-z ↗
3. Xu. Liang, Z. Yao, J. Liu, Z. Xue, Xu. Congchang, H. He and L. Li, Constitutive Model Parameter Identification for 6063 Aluminum Alloy Using Inverse Analysis Method for Extrusion Applications, J. Mater. Eng. Perform., 2021, 30, p 7449–7460. https://doi.org/10.1007/s11665-021-05897-910.1007/s11665-021-05897-9 ↗
4. F. Khameneh, A. Abedini, A. Narayanan and C. Butcher, On the Characterization of Fracture in Uniaxial Tension: Experiments and Modeling of DP1180 Steel Sheet, J. Mater. Eng. Perform., 2023 https://doi.org/10.1007/s11665-023-08957-410.1007/s11665-023-08957-4 ↗
5. ASTM. Standard Test Methods for Tension Testing of Metallic Materials; ASTM E8/E8M-22; ASTM International: West Conshohocken, PA, USA, 2022. https://www.astm.org/e0008_e0008m-22.html
6. M. Joun, J.G. Eom and M.C. Lee, A New Method for Acquiring True Stress–Strain Curves over a Large Range of Strains Using a Tensile Test and Finite Element Method, Mech. Mater., 2008, 40(7), p 586–593. https://doi.org/10.1016/j.mechmat.2007.11.00610.1016/j.mechmat.2007.11.006 ↗
7. K. Enami, The Effects of Compressive and Tensile Prestrain on Ductile Fracture Initiation in Steels, Eng. Fract. Mech., 2005, 72(7), p 1089–1105. https://doi.org/10.1016/j.engfracmech.2004.07.01210.1016/j.engfracmech.2004.07.012 ↗
8. X. Liu, H. Ma and F. Fan, Modified Johnson–Cook Model of SWRH82B Steel under Different Manufacturing and Cold-Drawing Conditions, J. Constr. Steel Res., 2021, 186, p 106894. https://doi.org/10.1016/j.jcsr.2021.10689410.1016/j.jcsr.2021.106894 ↗
9. A. Shokry, S. Gowid and G. Kharmanda, An Improved Generic Johnson–Cook Model for the Flow Prediction of Different Categories of Alloys at Elevated Temperatures and Dynamic Loading Conditions, Mater. Today Commun., 2021, 27, p 102296. https://doi.org/10.1016/j.mtcomm.2021.10229610.1016/j.mtcomm.2021.102296 ↗
10. Y. Wang, X. Zeng, H. Chen, X. Yang, F. Wang and L. Zeng, Modified Johnson–Cook Constitutive Model of Metallic Materials under a Wide Range of Temperatures and Strain Rates, Results Phys., 2021, 27, p 104498. https://doi.org/10.1016/j.rinp.2021.10449810.1016/j.rinp.2021.104498 ↗
11. X. Qian, X. Peng, Y. Song, J. Huang, Y. Wei, P. Liu, X. Mao, J. Zhang and L. Wang, Dynamic Constitutive Relationship of CuCrZr Alloy Based on Johnson–Cook Model, Nucl. Mater. Energy, 2020, 24, p 100768. https://doi.org/10.1016/j.nme.2020.10076810.1016/j.nme.2020.100768 ↗
12. ASTM. Tensile Strain-Hardening Exponents (N-Values) of Metallic Sheet Materials; ASTM E646-16; ASTM International: West Conshohocken, PA, USA, 2016
13. Z.L. Zhang, M. Hauge, J. Ødegård and C. Thaulow, Determining Material True Stress–Strain Curve from Tensile Specimens with Rectangular Cross-Section, Int. J. Solids Struct., 1999, 36(23), p 3497–3516. https://doi.org/10.1016/S0020-7683(98)00153-X10.1016/S0020-7683(98)00153-X ↗
14. S. Chen, Y. Li, Y. Chen, L. Hou, W. Shao and X. Jing, Comparison of Johnson-Cook and TANH Plastic Models for 3D Numerical Modeling of Turning Titanium Alloy Ti5553, J. Mater. Eng. Perform., 2023, 33, p 9126–9144. https://doi.org/10.1007/s11665-023-08577-y10.1007/s11665-023-08577-y ↗
15. A. Husain, D.K. Sehgal and R.K. Pandey, An Inverse Finite Element Procedure for the Determination of Constitutive Tensile Behavior of Materials Using Miniature Specimen, Comput. Mater. Sci., 2004, 31(1–2), p 84–92. https://doi.org/10.1016/j.commatsci.2004.01.03910.1016/j.commatsci.2004.01.039 ↗
16. Y. Xiao, Z. Tang and X. Hong, Inverse Parameter Identification for Hyperelastic Model of a Polyurea, Polymers, 2021, 13(14), p 2253. https://doi.org/10.3390/polym1314225310.3390/polym13142253 ↗
17. G.R. Johnson, W.H. Cook, A Constitutive Model and Data for Metals Subjected to Large Strains, High Strain Rates, and High Temperatures, Proceedings of the 7th International Symposium on Ballistics, 1983, The Hague South Holland, The Netherlands
18. V.K.R. Sirigiri, V.Y. Gudiga, U.S. Gattu, G. Suneesh and K.M. Buddaraju, A Review on Johnson Cook Material Model, Mater. Today Proceed., 2022, 62(6), p 3450–3456. https://doi.org/10.1016/j.matpr.2022.04.27910.1016/j.matpr.2022.04.279 ↗
19. B. Hopkinson, A Method of Measuring the Pressure Produced in the Detonation of High Explosives or by the Impact of Bullets, Proc. R. Soc. A Math. Phys. Eng. Sci., 2014, 89(612), p 411–413. https://doi.org/10.1098/rspa.1914.000810.1098/rspa.1914.0008 ↗
20. K.G. Hoge and A.K. Mukherjee, The Temperature and Strain Rate Dependence of the Flow Stress of Tantalum, J. Mater. Sci., 1977, 12, p 1666–1672. https://doi.org/10.1007/BF0054281810.1007/BF00542818 ↗
21. F.J. Zerilli and R.W. Armstrong, Dislocation-Mechanics-Based Constitutive Relations for Material Dynamics Calculations, J. Appl. Phys., 1987, 61, p 1816–1825. https://doi.org/10.1063/1.33802410.1063/1.338024 ↗
22. S. Nemat-Nasser and W.G. Guo, Thermomechanical Response of DH-36 Structural Steel over a Wide Range of Strain Rates and Temperatures, Mech. Mater., 2003, 35(11), p 1023–1047. https://doi.org/10.1016/S0167-6636(02)00323-X10.1016/S0167-6636(02)00323-X ↗
23. A. Rusinek, R. Zaera and J.R. Klepaczko, Constitutive Relations in 3-D for a Wide Range of Strain Rates and Temperatures—Application to Mild Steels, Int. J. Solids Struct., 2007, 44(17), p 5611–5634. https://doi.org/10.1016/j.ijsolstr.2007.01.01510.1016/j.ijsolstr.2007.01.015 ↗
24. J.R. Klepaczko, A. Rusinek, J.A. Rodríguez-Martínez, R.B. Pecherski and A. Arias, Modelling of Thermo-Viscoplastic Behaviour of DH-36 and Weldox 460-E Structural Steels at Wide Ranges of Strain Rates and Temperatures, Comparison of Constitutive Relations for Impact Problems, Mech. Mater., 2009, 41(5), p 599–621. https://doi.org/10.1016/j.mechmat.2008.11.00410.1016/j.mechmat.2008.11.004 ↗
25. A.K. Gosh, Tensile Instability and Necking in Materials with Strain Hardening and Strain-Rate Hardening, Acta Metall., 1977, 25(12), p 1413–1424. https://doi.org/10.1016/0001-6160(77)90072-410.1016/0001-6160(77)90072-4 ↗
26. W.K. Rule and S.E. Jones, A Revised Form for the Johnson–Cook Strength Model, Int. J. Impact Eng, 1998, 21(8), p 609–624. https://doi.org/10.1016/S0734-743X(97)00081-X10.1016/S0734-743X(97)00081-X ↗
27. W.J. Kang, S.S. Cho, H. Huh and D.T. Chung, Modified Johnson–Cook Model for Vehicle Body Crashworthiness Simulation, Int. J. Veh. Des., 1999, 21(4/5), p 424–435. https://doi.org/10.1504/IJVD.1999.00559410.1504/IJVD.1999.005594 ↗
28. Y.C. Lin, X.M. Chen and G. Liu, A Modified Johnson–Cook Model for Tensile Behaviors of Typical High-Strength Alloy Steel, Mater. Sci. Eng. A, 2010, 527(26), p 6980–6986. https://doi.org/10.1016/j.msea.2010.07.06110.1016/j.msea.2010.07.061 ↗
29. M. Murugesan and D.W. Jung, Two Flow Stress Models for Describing Hot Deformation Behavior of AISI-1045 Medium Carbon Steel at Elevated Temperatures, Heliyon, 2019, 6(4), p e01347. https://doi.org/10.1016/j.heliyon.2019.e0134710.1016/j.heliyon.2019.e01347 ↗
30. J.H. Hollomon, Tensile Deformation, Trans. Metall. Soc. AIME, 1945, 162, p 268–290.
31. P. Ludwik, Elemente der Technologischen Mechanik, Springer, Berlin, Heidelberg, 1909.10.1007/978-3-662-40293-1 ↗
32. H.W. Swift, Plastic Instability under Plane Stress, J. Mech. Phys. Solids, 1952, 1(1), p 1–18. https://doi.org/10.1016/0022-5096(52)90002-110.1016/0022-5096(52)90002-1 ↗
33. E. Voce, The Relationship between Stress and Strain for Homogeneous Deformation, J. Inst. Met., 1948, 74, p 537–562.
34. J.E. Hockett and O.D. Sherby, Large Strain Deformation of Polycrystalline Metals at Low Homologous Temperatures, J. Mech. Phys. Solid, 1975, 23(2), p 87–98. https://doi.org/10.1016/0022-5096(75)90018-610.1016/0022-5096(75)90018-6 ↗
35. Y. Zhang, L. Guo, C.J.A. Brousse, C.H. Lee, A. Azoug, H. Lu and S. Wang, Machine Learning Based Inverse Modeling of Full-Field Strain Distribution for Mechanical Characterization of a Linear Elastic and Heterogeneous Membrane, Mech. Mater., 2022, 165, p 104134. https://doi.org/10.1016/j.mechmat.2021.10413410.1016/j.mechmat.2021.104134 ↗
36. A. Banerjee, S. Dhar, S. Acharyya, D. Datta and N. Nayak, Determination of Johnson Cook Material and Failure Model Constants and Numerical Modelling of Charpy Impact Test of Armour Steel, Mater. Sci. Eng. A, 2015, 640, p 200–209. https://doi.org/10.1016/j.msea.2015.05.07310.1016/j.msea.2015.05.073 ↗
37. J.J. Wang, X.Y. Hu, K.B. Yuan, W.H. Meng and P.H. Li, Impact Resistance Prediction of Superalloy Honeycomb Using Modified Johnson–Cook Constitutive Model and Fracture Criterion, J. Impact Eng., 2019, 131, p 66–77. https://doi.org/10.1016/j.ijimpeng.2019.05.00110.1016/j.ijimpeng.2019.05.001 ↗
38. F. Zhang, Z. Liu, Y. Wang, P. Mao, X. Kuang, Z. Zhang, Y. Ju and X. Xu, The Modified Temperature Term on Johnson–Cook Constitutive Model of AZ31 Magnesium Alloy with 0002 Texture, J. Magnes. Alloys, 2020, 8(1), p 172–183. https://doi.org/10.1016/j.jma.2019.05.01310.1016/j.jma.2019.05.013 ↗
39. S. Ereiz, I. Duvnjak and J.F. Jiménez-Alonso, Review of Finite Element Model Updating Methods for Structural Applications, Structures, 2022, 41, p 684–723. https://doi.org/10.1016/j.istruc.2022.05.04110.1016/j.istruc.2022.05.041 ↗
40. A. Guery, F. Hild, F. Latourte and S. Roux, Identification of Crystal Plasticity Parameters Using DIC Measurements and Weighted FEMU, Mech. Mater., 2016, 100, p 55–71. https://doi.org/10.1016/j.mechmat.2016.06.00710.1016/j.mechmat.2016.06.007 ↗
41. K. Zhao, L. Wang, Y. Chang and J. Yan, Identification of Post-Necking Stress–Strain Curve for Sheet Metals by Inverse Method, Mech. Mater., 2016, 92, p 107–118. https://doi.org/10.1016/j.mechmat.2015.09.00410.1016/j.mechmat.2015.09.004 ↗
42. N. Yue, L. Li, A. Morandi and Y. Zhao, A Metamodel-Based Multi-Objective Optimization Method to Balance Thermal Comfort and Energy Efficiency in a Campus Gymnasium, Energy Build., 2021, 253(15), p 111513. https://doi.org/10.1016/j.enbuild.2021.11151310.1016/j.enbuild.2021.111513 ↗
43. F. Mastrippolito, S. Aubert and F. Ducros, Kriging Metamodels-Based Multi-Objective Shape Optimization Applied to a Multi-Scale Heat Exchanger, Comput. Fluids, 2021, 221(15), p 104899. https://doi.org/10.1016/j.compfluid.2021.10489910.1016/j.compfluid.2021.104899 ↗
44. G.Z. Voyiadjis, H. Bahrami and S.H. Hoseini, Calibration of Gurson–Tvergaard–Needleman Model Parameters of a NiTi Alloy Using Response Surface Method, J. Mater. Eng. Perform., 2023, 32(18), p 8467–8477. https://doi.org/10.1007/s11665-022-07728-x10.1007/s11665-022-07728-x ↗
45. M.B. Francisco, J.L.J. Pereira, G.A. Oliver, F.H.S. da Silva, S.S. da Cunha and G.F. Gomes, Multiobjective Design Optimization of CFRP Isogrid Tubes Using Sunflower Optimization Based on Metamodel, Comput. Struct., 2021, 249, p 106508. https://doi.org/10.1016/j.compstruc.2021.10650810.1016/j.compstruc.2021.106508 ↗
46. S. Chakraborty and A. Sen, Adaptive Response Surface Based Efficient Finite Element Model Updating, Finite Elem. Anal. Des., 2014, 80, p 33–40. https://doi.org/10.1016/j.finel.2013.11.00210.1016/j.finel.2013.11.002 ↗
47. J. Doh and J. Lee, Approximate Multi-objective Optimization of a Wall-mounted Monitor Bracket Arm Considering Strength Design Conditions, Trans. Korean Soc. Mech. Eng. A, 2015, 39(5), p 535–541. https://doi.org/10.3795/KSME-A.2015.39.5.53510.3795/KSME-A.2015.39.5.535 ↗