论文部分内容阅读
目前我国GB 50011—2010《建筑抗震设计规范》中所推荐的振型分解反应谱法和时程分析法尚无法完全反映地震动随机性对建筑结构的影响,采用真正意义的随机振动方法计算复杂高层建筑地震响应的需求越来越迫切。结合新修订的广东省标准DBJ 15-92—2013《高层建筑混凝土结构技术规程》,全面介绍了结构地震作用计算时域显式随机模拟法的计算原理和实现方法,内容包括:1)通过迭代计算直接获得与现行规范反应谱完全等效的地震动加速度功率谱;2)给出基于精细积分和Newmark-β积分格式的结构地震响应显式表达式的构建方法;3)结合地震动随机过程的数值模拟,统计分析得到结构平均峰值响应。以广州西塔等4栋超高层和高层建筑为工程应用实例,显示了时域显式随机模拟法在高层结构抗震分析中的高效性和实用性。计算结果表明,时域显式随机模拟法和传统振型分解反应谱法的计算结果存在一定差异,最大差异可超过25%,反应谱法的内力计算结果普遍偏小。
At present, the vibration mode decomposition response spectrum method and time-history analysis method proposed in GB 50011-2010 “Code for Design of Seismic Design of Buildings” can not fully reflect the influence of randomness of seismic motion on the structure of buildings. The random vibration method of true meaning is used to calculate complex The demand of earthquake response in high-rise buildings is more and more urgent. Combined with the newly revised Guangdong Provincial Standard DBJ 15-92-2013 “Technical Specification for High-rise Building Concrete Structure”, the calculation principle and implementation method of explicit stochastic simulation method in time domain of structural earthquake action are introduced comprehensively. The contents include: 1) (2) The construction method of explicit expression of seismic response of structure based on precise integral and Newmark-β integral format is given; 3) Combined with the seismic stochastic process The numerical simulation, statistical analysis of the average peak response of the structure. An example of the application of four super high-rise buildings and high-rise buildings such as Guangzhou West Tower shows the efficiency and practicability of the explicit stochastic simulation in time domain in the seismic analysis of tall buildings. The calculation results show that there are some discrepancies between the time-domain explicit stochastic simulation method and the traditional mode decomposition response spectrum method, the maximum difference can exceed 25%, and the internal force calculation results of the response spectrum method are generally small.