首页 | 本学科首页   官方微博 | 高级检索  
     

高耸塔架结构节点损伤的指标分析与反分析两步诊断法
引用本文:黄东梅,瞿伟廉.高耸塔架结构节点损伤的指标分析与反分析两步诊断法[J].华中科技大学学报(城市科学版),2003,20(2):61-64.
作者姓名:黄东梅  瞿伟廉
作者单位:1. 武汉理工大学,土木工程与建筑学院,湖北,武汉,430070;广西工学院,土木工程系,广西,柳州,545005
2. 武汉理工大学,土木工程与建筑学院,湖北,武汉,430070
摘    要:针对高耸钢塔架结构的损伤特点,建立了具有节点损伤的有限元模型,提出了一种指标分析与反分析两步诊断法:第一步,通过对节点残余力向量指标进行分析来确定结构可能损伤杆件的位置;第二步,把可能损伤的杆件的损伤因子作为设计变量,以损伤前后的杆端应变模态差向量的2范数作为目标函数,应用改进的混合遗传算法进行反分析运算,最终得到具体的损伤节点位置处的损伤程度.通过对一平面塔架结构的数值仿真分析表明,在理论上该方法是可行的.

关 键 词:高耸塔架结构  节点  损伤  混合遗传算法  应变模态  残余力向量
文章编号:1000-5730(2003)02-0061-04
修稿时间:2003年4月1日

Two-step Detection Approach to Joint Damage in High-rise Tower Structures by Index Analysis and Reverse Analysis
HUANG Dong mei , QU Wei lian.Two-step Detection Approach to Joint Damage in High-rise Tower Structures by Index Analysis and Reverse Analysis[J].Journal of Huazhong University of Science and Technology,2003,20(2):61-64.
Authors:HUANG Dong mei  QU Wei lian
Affiliation:HUANG Dong mei 1,2 QU Wei lian 1
Abstract:The finite element model of joint damaged structure is set up according to the damaging characteristic of high rise steel tower structure. A two step detection approach of joint residual force analysis and reverse analysis is presented. The first step identifies the location of the possible damaged poles by analyzing the joint residual force vector. The second step looks on the damage factor of the possible damaged poles as design vector, the 2 norm of the difference of the rod end strain mode vector between the intact and damaged structure as the target function, and uses the hybrid genetic algorithm to do reverse analysis, gains the damage degree of specific damaged joint at last. Performance of the proposed damage detection approach is demonstrated with analysis of a plane tower structure. The result shows that this approach is feasible in theory.
Keywords:high  rising tower structure  joint damage  hybrid genetic algorithm  two  step detection approach  joint residual force vector  strain mode
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号