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	基于全局优化算法的超塑性本构模型参数的识别
	曲杰 ; 金泉林 ; 徐秉业 ; QU Jie ; JIN Quanlin ; XU Bingye
	2010-06-08 ; 2010-06-08
关键词	本构模型 参数识别 反分析 全局优化 Constitutive model Parameter identification Inverse analysis Global optimization O344
其他题名	Parameter Identification of Superplastic Constitutive Model Based on Global Optimization Method
中文摘要	考虑晶粒长大的超塑性本构模型能否成功模拟成形过程依赖于参数选取的好坏,由于该模型涉及多个物理过程且每个过程都很难同其他过程区别开来,同时模型中包含多个材料参数,因此很难通过试验直接识别模型中的材料参数。模型中材料参数通过反分析方法进行。给出需要识别参数的超塑性本构模型,以使晶粒尺寸—时间关系和应力—应变关系计算值和试验值差值的加权平方和最小化为目标,构造目标函数;基于参数物理意义和数值结果给出参数取值范围。基于目标函数特性构造一全局优化算法,该算法吸收遗传算法能进行全局搜索的优点和Levenberg-Marquardt算法和增广Gauss-Newton算法收敛速度比较快的优点。针对某些参数取值范围比较大的特点,设计出同时使用指数编码和传统实型编码的混合编码的遗传算子。最后以Ti-6Al-4V为例,应用构造的算法识别超塑性本构模型中的材料参数,计算结果和试验结果符合较好。; Whether the superplastic constitutive model considering grain growth can successfully simulate the forming process depends on the quality of parameter identification. However, it is difficult to obtain satisfactory parameters by experiment directly. The reasons are due to that it considers many physical processes and it is difficult to differentiate one physical process from other physical processes, at the same time, the model is involved many parameters. The material parameters are identified by the inverse analysis. The superplastic model is given; and the objective function is designed through minimizing the weighted square sum of the difference between the calculated value and the experimental value for the stress-strain relation and grain size-time relation; the zone of the parameter value is given based on the physical significance and the numerical result. A global optimization method is developed on the basis of the characteristics of the objective function. The developed optimization method incorporates the advantages of making global search for the genetic algorithm; at the same time, the method incorporates the strengths of relatively fast convergent speed for the Levenberg-Marquardt algorithm and the augmented Gauss-Newton method. To the question of the relatively large zone of the parameter value, the hybrid coding genetic operators, which make use of the real coding and exponential coding simultaneously, are designed. At last, taking Ti-6Al-4V as an example, a set of satisfactory material parameters are obtained by using the developed method. The calculated results agree with the experimental results relatively well.; 国家重点基础研究发展计划(973计划,G2000067208-2); 国家自然科学基金青年基金(10602018); 广东省自然科学基金博士启动基金(05300252)资助项目
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/50828]
专题	清华大学
推荐引用方式 GB/T 7714	曲杰,金泉林,徐秉业,等. 基于全局优化算法的超塑性本构模型参数的识别[J],2010, 2010.
APA	曲杰,金泉林,徐秉业,QU Jie,JIN Quanlin,&XU Bingye.(2010).基于全局优化算法的超塑性本构模型参数的识别..
MLA	曲杰,et al."基于全局优化算法的超塑性本构模型参数的识别".(2010).

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