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基于差分进化的球磨机钢球磨损规律预测方法
  • ISSN号:1006-3080
  • 期刊名称:《华东理工大学学报:自然科学版》
  • 时间:0
  • 分类:TD0[矿业工程]
  • 作者机构:School of Information Science and Engineering, Central South University, Changsha 410083, China
  • 相关基金:Project(61273187)supported by the National Natural Science Foundation of China; Project(61321003)supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China
中文摘要:

Region partition(RP) is the key technique to the finite element parallel computing(FEPC),and its performance has a decisive influence on the entire process of analysis and computation.The performance evaluation index of RP method for the three-dimensional finite element model(FEM) has been given.By taking the electric field of aluminum reduction cell(ARC) as the research object,the performance of two classical RP methods,which are Al-NASRA and NGUYEN partition(ANP) algorithm and the multi-level partition(MLP) method,has been analyzed and compared.The comparison results indicate a sound performance of ANP algorithm,but to large-scale models,the computing time of ANP algorithm increases notably.This is because the ANP algorithm determines only one node based on the minimum weight and just adds the elements connected to the node into the sub-region during each iteration.To obtain the satisfied speed and the precision,an improved dynamic self-adaptive ANP(DSA-ANP) algorithm has been proposed.With consideration of model scale,complexity and sub-RP stage,the improved algorithm adaptively determines the number of nodes and selects those nodes with small enough weight,and then dynamically adds these connected elements.The proposed algorithm has been applied to the finite element analysis(FEA) of the electric field simulation of ARC.Compared with the traditional ANP algorithm,the computational efficiency of the proposed algorithm has been shortened approximately from 260 s to 13 s.This proves the superiority of the improved algorithm on computing time performance.

英文摘要:

Region partition(RP) is the key technique to the finite element parallel computing(FEPC),and its performance has a decisive influence on the entire process of analysis and computation.The performance evaluation index of RP method for the three-dimensional finite element model(FEM) has been given.By taking the electric field of aluminum reduction cell(ARC) as the research object,the performance of two classical RP methods,which are Al-NASRA and NGUYEN partition(ANP) algorithm and the multi-level partition(MLP) method,has been analyzed and compared.The comparison results indicate a sound performance of ANP algorithm,but to large-scale models,the computing time of ANP algorithm increases notably.This is because the ANP algorithm determines only one node based on the minimum weight and just adds the elements connected to the node into the sub-region during each iteration.To obtain the satisfied speed and the precision,an improved dynamic self-adaptive ANP(DSA-ANP) algorithm has been proposed.With consideration of model scale,complexity and sub-RP stage,the improved algorithm adaptively determines the number of nodes and selects those nodes with small enough weight,and then dynamically adds these connected elements.The proposed algorithm has been applied to the finite element analysis(FEA) of the electric field simulation of ARC.Compared with the traditional ANP algorithm,the computational efficiency of the proposed algorithm has been shortened approximately from 260 s to 13 s.This proves the superiority of the improved algorithm on computing time performance.

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期刊信息
  • 《华东理工大学学报:自然科学版》
  • 北大核心期刊(2011版)
  • 主管单位:教育部
  • 主办单位:华东理工大学
  • 主编:刘红来
  • 地址:上海梅陇路130号
  • 邮编:200237
  • 邮箱:ecustxbbzz@ecust.edu.cn
  • 电话:021-64252666
  • 国际标准刊号:ISSN:1006-3080
  • 国内统一刊号:ISSN:31-1691/TQ
  • 邮发代号:4-382
  • 获奖情况:
  • 2001年被国家新闻出版总署评为"中国期刊方阵科技...,2002年获"第五届全国石油和化工行业优秀期刊二等奖",2004年获"全国高校优秀科技期刊二等奖",2006年荣获"首届中国高校优秀科技期刊奖"以及"第...
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  • 被引量:10083