摘要
为解决Chaboche-Voce材料本构模型包含参数较多,导致参数拟合过程中常面临多解、效率低的问题,结合初值预测法与梯度优化法,提出了一种高效的Chaboche-Voce混合模型本构参数拟合方法。为克服参数拟合结果多解性导致的初值依赖问题,所提出方法的参数初值均基于试验数据获取,而不需要使用者设定。开展了GH3536材料在不同温度下的拉伸及循环塑性本构试验,并对不同环境温度下(室温、500℃)和不同打印方向的GH3536材料应力-应变数据进行了拟合。结果显示,经拟合的混合模型的应力-应变曲线与试验曲线具有良好的一致性。进而,基于拟合的数据对某燃烧室外机匣开展了承载能力分析。结果表明,较弹性设计准则,安定性准则下的结构的临界承载能力可提高约1倍。
To solve the problem of multiple solutions and low efficiency in the process of parameter fitting due to the large number of parameters in Chaboche-Voce material constitutive model,an efficient constitutive parameter fitting method of Chaboche-Voce hybrid model was proposed by combining the initial value prediction method and gradient optimization method.To overcome the problem of initial value dependence caused by multiple solutions of parameter fitting results,the initial parameter values of the proposed method were obtained based on test data,without user setting.The tensile and cyclic plastic constitutive tests of GH3536 materials at different temperatures were carried out,and the stress-strain data of GH3536 materials in different printing directions at different ambient temperatures(room temperature,500℃)were fitted.The results show that the stress-strain curves of the fitted hybrid model are in good agreement with the test curves.Then,based on the fitting data,the carrying capacity of an outdoor combustion casing was analyzed.The results show that the critical bearing capacity of the structure under the stability criterion is about one times higher than that under the elastic design criterion.
作者
宋建
阎琨
SONG Jian;YAN Kun(Institute of Chemical Industry,Dalian University of Technology,Dalian 116024,China)
出处
《塑性工程学报》
CAS
CSCD
北大核心
2023年第10期167-173,共7页
Journal of Plasticity Engineering
基金
航空科学基金资助项目(2020Z009063001)。
