机械与电子2025，Vol.43Issue(9)：3-9,7.
大应变条件下金属橡胶刚度特性建模及预测
Modeling and Prediction of Stiffness Characteristics of Metal Rubber under Large Strain Conditions
摘要
Abstract
Under high-dynamic centrifugal environments,specifically under large-strain working conditions(strain＞10％),metal rubber enters a hardening characteristic zone where stiffness indices ex-hibit exponential growth.Traditional modeling studies on metal rubber stiffness characteristics have fo-cused on small-strain conditions(strain≤10％),failing to effectively address the high-precision model-ing requirements for metal rubber stiffness characteristics under large-strain conditions(strain＞10％).To meet the modeling and prediction demands of metal rubber,this study proposes establishing separate micro-unit spring models and neural network models based on material constitutive relationships to a-chieve accurate prediction of metal rubber stiffness characteristics under large-strain conditions.Nonlinear transition functions and transversely isotropic constitutive descriptions are introduced to characterize the nonlinear behavior of metal rubber under large-strain conditions.Simulation and experimental results demonstrate that the established micro-unit spring model can effectively describe stiffness characteristics under large-strain conditions based on forming process parameters,while the developed neural network model accurately captures stiffness characteristics under large-strain conditions through training data,sat-isfying the precision requirements for metal rubber predictions in high-dynamic centrifugal working con-ditions.关键词
高动态离心环境/金属橡胶/微元弹簧模型/神经网络/大应变Key words
high-dynamic centrifugal environment/metal rubber/micro-unit spring model/neural net-work/large-strain分类
化学化工引用本文复制引用
董建材,刘洋,徐福,李家磊,阳红..大应变条件下金属橡胶刚度特性建模及预测[J].机械与电子,2025,43(9):3-9,7.基金项目
国家重点研发计划(2022YFF070900) （2022YFF070900）
国家自然科学基金资助项目(52205543) （52205543）
四川省自然科学基金资助项目(24NSFSC0989) （24NSFSC0989）
科技部重点研发计划(2023YFB4606202,2023YFB3405800) （2023YFB4606202,2023YFB3405800）
