摘要
指数型、多项式、三线型及双线性内聚力模型广泛用于表征黏接结构的界面性能,建立不同模型形状参数间的关系,可以为界面问题研究中参数的选取提供参考。首先,保持黏接界面的临界应力和断裂能相等,推导四4种模型形状参数之间的关系,任意2种模型的形状参数可相互表示。其次,基于改进的遗传算法反演识别率相关的铝合金黏接界面4种模型的形状参数,以指数型模型为基准,多项式、三线型及双线性模型形状参数反演识别与预测值的相对误差分别为1.76%、1.54%、3.13%。最后,根据各模型形状参数之间的关系给定4种模型界面参数,对比分析有限元仿真结果,4种模型表征的界面性能相同,验证了推导结果的准确性。
Exponential,polynomial,trilinear and bilinear cohesive models are widely used to characterize the interfa⁃cial properties of bonded structures.Establishing the relationship between shape parameters of different cohesion models can provide reference for the selection of shape parameters in interface problem research.Firstly,when the critical stress and fracture energy of each model are kept equal,the relationship between the shape parameters of four models is de⁃rived.The shape parameters of any two models can be represented mutually.Based on the improved genetic algorithm,the shape parameters of rate-related bonding interface were identified.Secondly,based on the exponential model,the in⁃version and prediction value of polymorphism,three-line and bilinear model shape parameters were carried out.The rela⁃tive errors of the values are 1.76%,1.54%and 3.13%.Finally,according to the relationship between the shape parame⁃ters of each model,four model interface parameters are given.The simulation results show that the interface performance of the four models is the same,which verifies the accuracy of derivation results.
作者
周亮
李晓雷
陈文义
ZHOU Liang;LI Xiaolei;CHEN Wenyi(School of Mechanical Engineering,Hebei University of Technology,Tianjin 300401,China;School of Chemical Engin eering,Hebei University of Technology,Tianjin 300130,China)
出处
《河北工业大学学报》
CAS
2022年第1期35-41,共7页
Journal of Hebei University of Technology
基金
国家自然科学基金(11572357,11672162)。
关键词
内聚力模型
形状参数
黏接界面
改进的遗传算法
参数反演识别
cohesive model
shape parameter
bonding interface
improved genetic algorithm
parameter inversion rec⁃ognition
