首页|基于模拟退火粒子群算法与小冲杆试验确定材料塑性性能的方法

基于模拟退火粒子群算法与小冲杆试验确定材料塑性性能的方法

扫码查看
原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
  • 维普
为了能够准确合理地从小冲杆试验曲线中获取材料的塑性参数,提出了一种基于模拟退火粒子群算法和有限元模拟获得材料断后伸长率及断面收缩率的方法.首先通过小冲杆试验获取X65、X70管线钢的载荷-位移曲线;其次利用模拟退火粒子群算法和有限元模拟相结合的方法,使得小冲杆模拟曲线逼近试验曲线,进而识别Johnson-Cook(J-C)本构模型参数;最后将识别的参数用于模拟单轴拉伸试验,从而获取材料断后伸长率和断面收缩率.该方法所获得的两种管线钢的断后伸长率、断面收缩率与单轴拉伸试验结果的最大相对误差分别为23.58%、3.70%.
Method of Determining the Plastic Properties of Materials Based on Simulated Annealing Particle Swarm Optimization and Small Punch Test
In order to obtain accurate and reasonable plastic parameters of materials from the test curve of small punch test,a method based on simulated annealing particle swarm optimization algorithm and finite element simulation was proposed to obtain the elongation and section shrinkage of materials after fracture.Firstly,the load-deflection curves of X65 and X70 pipeline steel were obtained by small punch test.Secondly,the simulated annealing particle swarm optimization algorithm and finite element simulation were used to make the simulation curve of small punch test approximate to the test curve,and then Johnson-Cook(J-C)constitutive model parameters were identified.Finally,the identified parameters were used to simulate uniaxial tensile test,so as to obtain the elongation and section shrinkage of the material after fracture.The maximum relative errors of the elongation and section reduction of the two pipeline steels obtained by this method and the uniaxial tensile test results were 23.58%and 3.70%,respectively.

small punch testsimulated annealing particle swarm optimizationplasticityJohnson-Cook modelfinite element simulation

单应强、钟继如、王琼琦、关凯书

展开 >

华东理工大学机械与动力工程学院,承压系统与安全教育部重点实验室,上海 200237

小冲杆试验 模拟退火粒子群算法 塑性性能 Johnson-Cook模型 有限元模拟

国家磁约束核聚变能发展研究专项资助核材料技术创新中心创新基金国家自然科学基金国家自然科学基金

2022YFE03120000ICNM-2022-ZH-025210514652130511

2024

10.14135/j.cnki.1006-3080.20221219001

华东理工大学学报(自然科学版)
华东理工大学

华东理工大学学报(自然科学版)

CHSSCD北大核心
影响因子：0.289
ISSN：1006-3080
年,卷(期)：2024.50(1)
  • 9