TY - JOUR
T1 - Springback analysis of Q960 ultra-high-strength structural steel considering degenerated chord modulus
AU - Shang, Mingxu
AU - Yang, Hua
AU - Hou, Chuan Chuan
AU - Zhao, Yang
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2025/4
Y1 - 2025/4
N2 - Ultra-high-strength steels (UHSS), as one of the difficult-to-form building materials, pose more challenges in accurate springback prediction of cold-bending design, which are attributed to the high yield stress, the uncertainty of hardening response and the varying chord modulus. A total of 11 specimens made of Q960 UHSS involving the cyclic loading-unloading-reloading tensile test and the springback followed by three-point bending test, were designed to investigate the degeneration behavior of chord modulus and the springback response. Subsequently, a constitutive model set, including the Voce isotropic hardening model, the updated Voce-Chaboche combined hardening model with modified continuum damage mechanics model, and the aforementioned combined hardening model with Yoshida chord modulus model, was applied in the springback analysis with the user-defined material subroutine VUMAT. The verification results indicate that the type of hardening model (isotropic or kinematic) has negligible influence on springback, while the steels with higher strength and more degeneration of chord modulus have more amount of springback. Finally, with a database consisting of 365 data lists built up, the XGBoost machine learning model was utilized and verified in terms of the capacity of predictability for the bending and springback performance with different geometrical parameters, providing a basis about the feasibility design and mould design of cold bending for Q960 UHSS.
AB - Ultra-high-strength steels (UHSS), as one of the difficult-to-form building materials, pose more challenges in accurate springback prediction of cold-bending design, which are attributed to the high yield stress, the uncertainty of hardening response and the varying chord modulus. A total of 11 specimens made of Q960 UHSS involving the cyclic loading-unloading-reloading tensile test and the springback followed by three-point bending test, were designed to investigate the degeneration behavior of chord modulus and the springback response. Subsequently, a constitutive model set, including the Voce isotropic hardening model, the updated Voce-Chaboche combined hardening model with modified continuum damage mechanics model, and the aforementioned combined hardening model with Yoshida chord modulus model, was applied in the springback analysis with the user-defined material subroutine VUMAT. The verification results indicate that the type of hardening model (isotropic or kinematic) has negligible influence on springback, while the steels with higher strength and more degeneration of chord modulus have more amount of springback. Finally, with a database consisting of 365 data lists built up, the XGBoost machine learning model was utilized and verified in terms of the capacity of predictability for the bending and springback performance with different geometrical parameters, providing a basis about the feasibility design and mould design of cold bending for Q960 UHSS.
KW - Chord modulus
KW - Q960
KW - Springback
KW - Ultra-high-strength steel
KW - XGBoost algorithm
UR - https://www.scopus.com/pages/publications/85214791590
U2 - 10.1016/j.tws.2025.112934
DO - 10.1016/j.tws.2025.112934
M3 - 文章
AN - SCOPUS:85214791590
SN - 0263-8231
VL - 209
JO - Thin-Walled Structures
JF - Thin-Walled Structures
M1 - 112934
ER -