钢筋混凝土结构建筑群震害快速预测方法
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
为对地震灾后的建筑物进行快速灾害评价与预测,建立了钢筋混凝土框架结构的震害类比预测方法.通过灰色关联度分析,选取对混凝土框架结构抗震性能影响较大的5个影响因子,基于结构薄弱层层间位移角的统计分析,得到各抗震性能影响因子的属性值;再通过熵权法计算各震害影响因子的权重;最后应用相似度加权计算公式计算不同混凝土框架结构的相似度,从而对群体混凝土框架结构的震害进行快速评估.为验证所提方法的有效性及可靠性,选取典型混凝土框架结构进行震害预测并与有限元分析结果进行比较.所提方法仅需从房屋普查资料中获取主要影响因子的信息,即可对钢筋混凝土结构群体进行快速、准确的震害预测.
In order to quickly assess and predict the earthquake damage,a new analogy method for reinforced concrete frame structure was proposed.Firstly,five key impact factors were determined on the basis of the grey correlation analysis.And then,the inner-story drift angles of vulnerability analysis were analyzed statistically and the attribute values of the main influence factors were obtained.After that,the weight of each influencing factor were determined by using the entropy-weight method.Finally,a similarity-weight formula was presented to analyze the similarity of different concrete frame structures,consequently the earthquake damage assessment and prediction can be performed quickly for concrete frame structure group.The damage predicted by the proposed method was compared with that by finite element analysis to validate the proposed method.The seismic damage of reinforced concrete frame structures group can be predicted based on several basic parameters obtained only from the general survey.
引文
[1]冯启民.GB/T 19428-2003地震灾害预测及信息管理系统技术规范[S].北京:中国标准出版社,2003.
    [2]姜绍飞,艾武福,李宁,等.群体砌体建筑的易损性分析及震害预测[J].福州大学学报:自然科学版,2011,30(3):738-753.
    [3]陈建云,毕可为,温瑞智.一种适于震后快速评估的群体易损性分析方法[J].震害防御技术,2009,4(2):178-181.
    [4]王志涛,苏经宇,马东辉,等.群体建筑震害特征类比预测方法及应用[J].北京工业大学学报,2008,34(8):842-847.
    [5]闫熙臣,高小旺.钢筋混凝土框架结构抗震评估的新方法[J].工程抗震与加固改造,2007,29(1):103-105.
    [6]门进杰,史庆轩,周琦.框架结构基于性能的抗震设防目标和性能指标的量化[J].土木工程学报,2008,41(9):76-82.
    [7]杨君.钢筋混凝土框架结构基于位移的抗震设计理论和方法[D].西安:西安建筑科技大学,2007.
    [8]刘景良.考虑填充墙影响的既有框架结构抗震性能评估[D].福州:福州大学,2011.
    [9]王茜,王雁凌,张粒子.影响电力需求预测各因子的客观权重分配方法[J].电网技术,2008,32(5):83-86.
    [10]谢全敏.滑坡灾害评价及其治理优化决策新方法[M].武汉:武汉理工大学出版社,2008:94-107.
    [11]混凝士结构设计规范算例编委会.混凝土结构设计规范算例[M].北京:中国建筑工业出版社,2003.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心