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新论文:城市区域高层建筑的地震响应模拟方法

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高层建筑是城市的重要组成部分。准确高效预测其地震响应对城市震害分析具有重要意义。由于高层建筑地震响应较为复杂,加上历史震害经验较少,常规区域震害预测方法实现起来难度较大,而单体建筑精细化非线性模型又难以满足城市区域震害模拟的需求。针对这一问题,本文建议了一个多自由度非线性弯剪耦合模型来对城市区域高层建筑建模,并给出了基于宏观建筑信息的模型参数标定方法,其成果可供城市区域震害预测参考。


A nonlinear computational model for regional seismic simulation of tall buildings

Chen Xiong, Xinzheng Lu , Hong Guan, Zhen Xu

Bulletin of Earthquake Engineering,
Accepted on Feb. 5, 2016. DOI: 10.1007/s10518-016-9880-0

Abstract To better predict the responses of tall buildings in regional seismic simulation, a nonlinear multiple degree-of-freedom (MDOF) flexural-shear (NMFS) model and its associated parameter calibration method are proposed. The model has such advantages as (1) representation of the nonlinear flexural-shear deformation mode of tall buildings, (2) a high computational efficiency, (3) convenient parameter calibration, and (4) the ability to output the inter-story drift of each story. The characteristics of the nonlinear lateral flexural-shear deformation mode of tall buildings are appropriately considered in the NMFS model. The accuracy of the inter-story drift prediction is far superior to the traditional nonlinear MDOF shear (NMS) model. The computing efficiency is also remarkably improved and the speed-up ratio is greater than 30,000 by comparing to the corresponding refined finite element (FE) model. The parameters of the building models can be conveniently and efficiently calibrated using the widely accessible building attribute data from GIS. More specifically, only the descriptive information (i.e., structural height, year of construction, site condition and structural type) of each building is required to perform such calibration. Two representative tall buildings and a residential area with tall buildings are selected to demonstrate the implementation and advantages of the proposed NMFS model. Outcomes of this work are expected to provide a useful reference for future work on regional seismic loss estimations of tall buildings.

来源:陆新征课题组
非线性建筑
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首次发布时间:2023-03-07
最近编辑:1年前
地震那些事
博士 抗震防灾数值模拟仿真
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