首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于SAP2000 API的模态缩减法在高层建筑动力分析中的应用
引用本文:陈嘉源,吴玖荣,傅继阳,徐安.基于SAP2000 API的模态缩减法在高层建筑动力分析中的应用[J].广州大学学报(自然科学版),2013(5):50-55.
作者姓名:陈嘉源  吴玖荣  傅继阳  徐安
作者单位:[1]广州大学土木工程学院,广东广州510006 [2]广州大学-淡江大学工程结构灾害与控制联合研究中心,广东广州510006
基金项目:国家自然科学基金项目(51078096);新世纪优秀人才支持计划项目(NCET-09-0082)及广州市结构安全与健康监测重点实验室资助项目
摘    要:为解决高层建筑自由度数目巨大导致其动力响应分析工作量大、效率低的弊端,文章在基于SAP2000API接口的基础上,分别运用原有结构整体刚度(静力凝聚法)和结构振型(SEREP法与MODAL法)3种不同方法,对高层建筑建立了简化为“葫芦串”体系的模态缩减方法.算例计算表明,直接基于原有结构整体刚度的模态缩减方法,对于结构的前几阶振型,具有较高的模拟精度;而基于结构振型的模态缩减方法(SEREP法与MO-DAL法)在所取的振型阶数范围内,能够完全一致地保留原结构的振动特性;而在所取的振型阶数范围外,相比于SEREP法,MODAL法能够大致反映结构的振动情况.由于对高层建筑动力分析通常只考虑前几阶模态的情况,文章结合SAT2000 API应用程序接口的功能,应用上述3种模态缩减方法,为自动化和高效化地实现高层建筑动力分析提供了良好的条件.

关 键 词:高层建筑  动力分析  模态缩减  SAP2000应用程序接口模块

Application of model order reduction method in dynamic analysis of tall building via SAP2000 API
CHEN Jia-yuan,WU Jiu-rong,FU Ji-yang,XU An.Application of model order reduction method in dynamic analysis of tall building via SAP2000 API[J].Journal og Guangzhou University:Natural Science Edition,2013(5):50-55.
Authors:CHEN Jia-yuan  WU Jiu-rong  FU Ji-yang  XU An
Institution:( a. School of Civil Engineering; b. Guangzhou University-Tamkang University Joint Research Center for Engineering Structure Disaster Prevention and Control, Guangzhou University, Guangzhou 510006, China)
Abstract:Based on the SAP2000 API interface system, three model order reduction methods, which are stated as Static Condensation (Guyan) method, SEREP method and MODAL method, were applied in this paper to obtain the condensed system matrix ( stiffness and mass matrix) of tall building with very complicated structural system and large degree of freedom. Numerical analysis for a 20-story tall building showed that the results obtained from static condensation method could have enough accuracy in modeling the dynamic characteristic of the first few modes for the original complex structural system; while SEREP and MODAL method could exactly preserve the dynamic characteristic of the selected vibration mode for the original full model. The reduced system matrix from MODAL method also can predict the natural frequency of the residual modes while SEREP method can not predict effectively. The combined application of SAP2000 API and three model order reduction methods in this paper could be utilized to solve the dynamic problem of large and complex tall building system automatically and effectively.
Keywords:tall building  dynamic analysis  model order reduction  SAP2000 API
本文献已被 维普 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