TY - GEN
T1 - Dynamic Mechanical Behavior and Optimized Johnson-Cook Modeling of SUS410 Stainless Steel
AU - Cheng, Gensheng
AU - Zhou, Ying
AU - Wang, Tao
AU - Huang, Guangyan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Accurate constitutive modeling of SUS410 martensitic stainless steel under explosive impact conditions is critical for the safety assessment of protective structures. However, the standard Johnson-Cook (J-C) model, typically calibrated with a quasi-static baseline, often suffers from significant prediction errors when extrapolated to high-strain-rate regimes. This study investigates the dynamic mechanical behavior of SUS410 and proposes an optimized parameter calibration strategy. Quasi-static tensile tests and Split Hopkinson Pressure Bar (SHPB) experiments were conducted to characterize the material’s pronounced strain rate hardening and adiabatic thermal softening effects. Subsequently, two sets of J-C constitutive parameters were calibrated based on distinct reference strain rates: a traditional quasi-static baseline (ε˙0=0.001s-1) and a dynamic baseline (ε˙0=1000s-1). Numerical verification revealed that the model using the quasi-static baseline resulted in severe non-physical “hardening overflow” at high strain rates (4000 s−1), with the predicted peak stress reaching approximately 2700 MPa, far exceeding the experimental value of ~1000 MPa. Theoretical analysis attributes this discrepancy to the mathematical amplification error introduced by the logarithmic strain rate term Inε˙/ε˙0 during large-span extrapolation. Conversely, the optimized parameters using the dynamic baseline effectively minimized the logarithmic multiplier effect by anchoring the model to the dynamic regime. This approach successfully decoupled strain rate hardening from adiabatic thermal softening, yielding precise predictions of flow stress across the entire strain rate spectrum. The proposed correction strategy provides a robust physical description for the numerical simulation of SUS410 under extreme impact environments.
AB - Accurate constitutive modeling of SUS410 martensitic stainless steel under explosive impact conditions is critical for the safety assessment of protective structures. However, the standard Johnson-Cook (J-C) model, typically calibrated with a quasi-static baseline, often suffers from significant prediction errors when extrapolated to high-strain-rate regimes. This study investigates the dynamic mechanical behavior of SUS410 and proposes an optimized parameter calibration strategy. Quasi-static tensile tests and Split Hopkinson Pressure Bar (SHPB) experiments were conducted to characterize the material’s pronounced strain rate hardening and adiabatic thermal softening effects. Subsequently, two sets of J-C constitutive parameters were calibrated based on distinct reference strain rates: a traditional quasi-static baseline (ε˙0=0.001s-1) and a dynamic baseline (ε˙0=1000s-1). Numerical verification revealed that the model using the quasi-static baseline resulted in severe non-physical “hardening overflow” at high strain rates (4000 s−1), with the predicted peak stress reaching approximately 2700 MPa, far exceeding the experimental value of ~1000 MPa. Theoretical analysis attributes this discrepancy to the mathematical amplification error introduced by the logarithmic strain rate term Inε˙/ε˙0 during large-span extrapolation. Conversely, the optimized parameters using the dynamic baseline effectively minimized the logarithmic multiplier effect by anchoring the model to the dynamic regime. This approach successfully decoupled strain rate hardening from adiabatic thermal softening, yielding precise predictions of flow stress across the entire strain rate spectrum. The proposed correction strategy provides a robust physical description for the numerical simulation of SUS410 under extreme impact environments.
KW - Adiabatic softening
KW - High strain rate
KW - Johnson-Cook model
KW - Reference strain rate
KW - SUS410 stainless steel
UR - https://www.scopus.com/pages/publications/105047654930
U2 - 10.1007/978-3-032-28967-4_61
DO - 10.1007/978-3-032-28967-4_61
M3 - Conference contribution
AN - SCOPUS:105047654930
SN - 9783032289667
T3 - Mechanisms and Machine Science
SP - 849
EP - 866
BT - Computational and Experimental Simulations in Engineering - Proceedings of ICCES 2026
A2 - Zhou, Kun
PB - Springer Science and Business Media B.V.
T2 - 32nd International Conference on Computational and Experimental Engineering and Sciences, ICCES 2026
Y2 - 7 August 2026 through 12 August 2026
ER -