北横沥水闸老化评估的人工智能和有限元方法  

Artificial intelligence and finite element method for aging assessment of Beihengli Sluice

作　　者：王明[1] 陈有亮[1] 丁季华[1] 韩红娟[1] 邵伟[1] 

机构地区：[1]上海理工大学土木工程系,上海200093

出　　处：《水利水电技术》2010年第2期31-35,共5页Water Resources and Hydropower Engineering

基　　金：上海市研究生创新基金项目(JWCXSL0802);国家自然科学基金资助项目(10872133);上海市浦江人才计划资助项目(09PJ1407700)

摘　　要：文中将人工智能方法和有限元数值方法结合研究了北横沥水闸的老化评估问题,其中运用笔者编制的水闸老化评估神经网络专家系统ESANN-SLUICE对北横沥水闸进行了老化等级评估,并通过三维非线性有限元分析了其静动力响应,从而达到了对检测评估结果的进一步丰富、校核,对上海地区同类水闸老化评估问题有一定的参考意义。The aging assessment on Beihengli Sluice is studied herein with the artificial intelligence method integrated with the fi- nite element method; in which the aging assessment system, namely ESANN-SLUICE, programmed by the author is applied to assess the aging grade of Beihengli Sluice, and then the static and dynamic response of the sluice is analyzed based on the 3D nonlinear FEM method, consequently, the assessment result is further enriched and verified ; which has a certain reference signifieance for the aging assessments on the similar sluices in Shanghai area.

关 键 词：水闸 老化评估 有限元法 人工智能 北横沥水闸 

分 类 号：TV66[水利工程—水利水电工程]