Enhanced damage-coupled viscoplastic constitutive modeling with advanced meta-heuristic algorithm-based automated parameter inversion

Accurate prediction of high-temperature component behavior under low-cycle fatigue (LCF) and creep-fatigue interaction (CFI) conditions requires an advanced constitutive model and a robust parameter identification approach. This study introduces a damage-coupled unified viscoplastic constitutive mod...

Full description

Saved in:
Bibliographic Details
Published in:European journal of mechanics, A, Solids Vol. 114; p. 105756
Main Authors: Yang, Qiaofa, Zhang, Wei, Zhang, Kangshuo, Liang, Fei, Chang, Le, He, Xiaohua, Zhou, Changyu
Format: Journal Article
Language:English
Published: Elsevier Masson SAS 01.11.2025
Subjects:
Damage-coupled
High-temperature fatigue
Life prediction
Parameter optimization
Viscoplastic constitutive model
Life prediction
High-temperature fatigue
Viscoplastic constitutive model
Parameter optimization
Damage-coupled
ISSN:0997-7538
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Accurate prediction of high-temperature component behavior under low-cycle fatigue (LCF) and creep-fatigue interaction (CFI) conditions requires an advanced constitutive model and a robust parameter identification approach. This study introduces a damage-coupled unified viscoplastic constitutive model (UVCM) incorporating cyclic softening, transient Bauschinger effects, and strain range dependency to characterize life-cycle deformation behavior. To overcome limitations in traditional parameter calibration, a metaheuristic black-winged kite algorithm (MBKA) is developed by combining hybrid initialization strategies, swarm diversity-driven adaptation, and golden sine search. Simulation results indicate that MBKA exhibits superior convergence accuracy over tested renowned algorithms in solving 23 CEC2005 functions, practically in multimodal optimization scenarios. When applied to 2.25CrMoV steel at 455 °C, the UVCM-MBKA framework successfully replicates the observed experimental phenomena, including strain amplitude-dependent cyclic deformation, transient Bauschinger effects, dwell time-induced decelerated stress relaxation, and directional sensitivity of CFI. Furthermore, the model demonstrates accurate fatigue life prediction across 16 experimental cases, with numerical results closely matching observed continuous cyclic softening and three-stage decelerated relaxation. Validation confirms the framework's precision and robustness in predicting cyclic deformations and fatigue life. •MBKA with golden sine and a diversity-driven adaptive strategy is proposed.•LCF and CFI are simulated using an improved constitutive model.•MBKA is verified for benchmark functions and inverting intrinsic inversion.•Decelerated stress relaxation and lifetime are predicted by coupling a damage variable.
ISSN:0997-7538
DOI:10.1016/j.euromechsol.2025.105756