On the Parameter Determination of a Stress relaxation model based on Creep equations using Differential Evolution Algorithm
被引:2
作者:
Zhang, Wei-wei
论文数: 0引用数: 0
h-index: 0
机构:
North China Elect Power Univ, Sch Energy Power & Mech Engn, Beijing, Peoples R ChinaNorth China Elect Power Univ, Sch Energy Power & Mech Engn, Beijing, Peoples R China
Zhang, Wei-wei
[1
]
Xu, Hong
论文数: 0引用数: 0
h-index: 0
机构:
North China Elect Power Univ, Sch Energy Power & Mech Engn, Beijing, Peoples R ChinaNorth China Elect Power Univ, Sch Energy Power & Mech Engn, Beijing, Peoples R China
Xu, Hong
[1
]
机构:
[1] North China Elect Power Univ, Sch Energy Power & Mech Engn, Beijing, Peoples R China
来源:
MACHINERY ELECTRONICS AND CONTROL ENGINEERING III
|
2014年
/
441卷
关键词:
Differential Evolution;
Parameter Determination;
Creep;
Stress Relaxation;
GLOBAL OPTIMIZATION;
D O I:
10.4028/www.scientific.net/AMM.441.476
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
A robust and efficient parameter identification method of the stress relaxation model based on Altenbach-Gorash-Naumenko creep equations is discussed. The differential evolution (DE) algorithm with a modified forward-Euler scheme is used in the identification procedure. Besides its good convergence properties and suitability for parallelization, initial guesses close to the solutions are not required for the DE algorithm. The parameter determination problem of the stress relaxation model is based on a very broad range specified for each parameter. The performance of the proposed DE algorithm is compared with a step-by-step model parameter determination technology and the genetic algorithm (GA). The model parameters of 12Cr-1Mo-1W-1/4V stainless steel bolting material at 550 degrees C have been determined, and the creep and stress relaxation behaviors have been calculated. Results indicate that the optimum solutions can be obtained more easily by DE algorithm than others.