基于概率法的木构古建筑地震破坏综合评价方法
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摘要
为了研究木构古建筑地震破坏状态评估的准确性,应用概率的方法,以结构损伤指数、最大层间位移角作为评价因子,建立了地震破坏综合评价模型,提出了基于概率法的木构古建筑地震破坏综合评价方法。该方法在综合现状分析与实验数据,在一定烈度下计算各种破坏状态等级中每一种破坏状态出现的概率,古建筑地震破坏状态应为概率最大的地震破坏状态,从而比较准确地判别木构古建筑地震破坏程度。并对经受过汶川地震的两种结构形式的古建筑进行了验证,从而验证了该方法的合理性和有效性。这一方法将提高木构古建筑震害预测的准确性,为古建筑抗震加固提供有效的理论支持。
A probabilistic approach is proposed in order to study the accuracy of evaluations of earthquake damage to ancient wooden buildings.Two factors,the structural damage index and the maximum drift angle,are considered in establishing the evaluation model.The evaluation of earthquake damage to wood-based structures in ancient buildings is established by comprehensive evaluation of the seismic damage model.This method calculates the probability of various kinds of damage under various levels of destructive conditions by comprehensive analysis of current conditions and experimental data.The actual damage condition during an earthquake should correspond to the calculated condition with the largest probability.This method was verified by studying two ancient wooden buildings with different kinds of structural damage incurred during the Wenchuan Earthquake.As a result,the rationale and validity of the model were demonstrated.The model could be used to accurately predict the seismic damage to the ancient wooden building and provide theoretical information for the strengthening of ancient buildings to minimize the damage during future earthquakes.
A probabilistic approach is proposed in order to study the accuracy of evaluations of earthquake damage to ancient wooden buildings.Two factors,the structural damage index and the maximum drift angle,are considered in establishing the evaluation model.The evaluation of earthquake damage to wood-based structures in ancient buildings is established by comprehensive evaluation of the seismic damage model.This method calculates the probability of various kinds of damage under various levels of destructive conditions by comprehensive analysis of current conditions and experimental data.The actual damage condition during an earthquake should correspond to the calculated condition with the largest probability.This method was verified by studying two ancient wooden buildings with different kinds of structural damage incurred during the Wenchuan Earthquake.As a result,the rationale and validity of the model were demonstrated.The model could be used to accurately predict the seismic damage to the ancient wooden building and provide theoretical information for the strengthening of ancient buildings to minimize the damage during future earthquakes.
引文
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[2]李宏男,何浩祥.利用能力谱法对结构地震损伤评估简化方法[J].大连理工大学学报,2004,44(2):267-269.LI Hong-nan,HE Hao-xiang.A simplified approach for seismicdamage assessment based on capacity spectrummethod[J].J DalianUniv Tech,2004,44(2):267～270.
[3]马东辉,郭小东,王志涛.城市抗震防灾规划标准实施指南[S].北京:中国建筑工业出版社,2008:125-129.MA Dong-hui,GUO Xiao-dong,WANGZhi-tao.Implemention guideto standard for urban planning on earthquake resistance and hazard-ous prevention[S].Beijing:China Architecture and Building Press,2008:125-129.
[4]李铁英,魏剑伟,张善元.木结构双参数地震损坏准则及应县木塔地震反应评价[J].建筑结构学报,2004,25(2):91-98.LI Tie-ying,WEI Jian-wei,ZHANG Shan-yuan.Double-parameterseismic damage criterion on wooden structure and seimic responseappraisement on yingxian wooden tower[J].J Build Struct,2004,25(2):91-98.
[5]周乾,闫维明,杨小森,等.汶川地震古建筑轻度震害研究[J].工程抗震与加固改造,2009,31(5):101-107.ZHOU Qian,YAN Wei-ming,YANG Xiao-sen,et al.Study on slightdamage of a strengthened chinese ancient building under wenchuanearthquake[J].Earthq Resis Eng Retr,2009,31(5):101-107.
[6]余志祥,赵世春,吴昊.青城山居士楼砖木混合结构抗震性能数值分析[J].西南交通大学学报,2010,45(2):179-181.YU Zhi-xiang,ZHAO Shi-chun,WU Hao.Numerical simulation ofaseismatic behavior of retrofittedmasonry timber structure of Jushibuilding on Qingchengmountain[J].J Southw Jiaotong Univ,2010,45(2):179-181.
[7]王威,马东辉,苏经宇,等.基于集对分析理论的钢筋混凝土结构地震损伤综合评估方法[J].北京工业大学学报,2009,35(2):191-195.WANG Wei,MA Dong-hui,Su Jing-yu,et al.A comprehensive-method for seismic damage evaluation on RC structure based onSet-Pair analysis theory[J].J Beijing Univ Technol,2009,35(2):191-196.
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