类比预测法在城市群体建筑物震害预测中的应用

群体建筑物量大面广,为了简化群体建筑物震害预测的工作,采用类比预测法对群体建筑物震害进行了预测.从城市建筑中选取具有典型破坏特征的建筑物作为样本,通过建筑物结构类型、高度、建设年代、现状质量和用途作为震害影响因子进行震害类比预测.建立规划区内建筑物易损性矩阵.最后以宁德市为例,利用本文方法给出了宁德市建筑物的易损性矩阵...     

城市抗震防灾规划中建筑物易损性评价方法的研究

基于功能和后果的抗震设防理念,提出了城市建筑物的分类方法并根据不同类别采取不同抗震易损性评价方法,其中包括应用能力谱的理论易损性分析方法和快速群体震害预测方法等。根据这些方法和泉州市规划区内的房屋调查资料,对泉州市的房屋进行了震害预测,并通过泉州市建筑物地震易损性分析的结果,提出了针对性的抗震减灾策略。所发展的易损性评价方法和对策措施对其他城市编制抗震防灾规划也具有一定参考价值。     

石河子市建筑物群体易损性矩阵的建立方法及震害预测

在前人建立的易损性矩阵方法的基础上，结合具体预测对象的实际，并根据普查资料统计出建筑物设防情况和现状，给出相应的权重,进行加权平均，建立具体预测对象群体建筑物的易损性矩阵。以石河子市为例，运用该方法给出了分类建筑物易损性矩阵及震害预测结果。     

基于人口统计数据的区域震害快速评估方法

在进行大规模城乡震害预测工作中, 需要使用与传统预测方式不同的新模型及新方法, 以便实现震害快速预测. 利用容易得到的人口统计数据中的人口及建筑抽样信息,通过建筑物分类,在已有的城市建筑震害基础上采用类比方法进行建筑物易损性分析,给出了人口数据及灾害损失的关系模型. 利用该模型建立福建省区域范围的建筑物不同结构平均易损性矩阵,按经济条件给出结构不同年代易损性矩阵调整系数,并建立地震灾害快速评估系统. 应用结果表明, 基于人口统计数据方法进行城乡区域尺度的地震震害评估模型, 具有投入少、 数据自动预测、定期更新且易于获取等优点.      

海城市南台镇多层砖房易损性分析

通过对多层砖房的普查和抽样调查取得的原始资料,用多层砖房震害预测方法和软件进行易损性分析,给出重要房屋单体震害预测结果和群体房屋的易损性矩阵．     

基于建筑物易损性分类的群体震害预测方法研究

本文以多层钢筋混凝土结构为例,根据收集到的震害预测单体样本对多层钢筋混凝土结构按年代、层数、用途进行归类分析,给出了不同分类下的多层钢筋混凝土结构的易损性矩阵。由房屋抗震性能普查资料统计出的不同分类建筑物的面积比例,与不同分类建筑物易损性矩阵进行加权平均,建立具体预测区的建筑物易损性矩阵。最后以西安市阎良区为例,利用本文方法给出了阎良区多层钢筋混凝土结构的易损性矩阵。并与传统的震害预测方法对比,证明该方法的可行性,以及较高的可靠性。该方法思路简洁,操作方便快捷,是震后快速评估的有效方法。     

基于KPCA和GA-LSSVR的惠州砖混建筑物震害易损性研究

科学地预测城市建筑物震害易损性,以此来分析城市防灾的薄弱环节,是预防及减轻地震损失的关键步骤。惠州建筑物普查结果中,少数抽样建筑物有详细图纸,可以进行具体的震害计算,多数建筑物无详细图纸,尚无合适的精确计算模型。文中对有详细图纸的砖混建筑进行了震害指数计算,根据普查数据表识别并量化了震害影响指标,进而建立了样本库以及基于KPCA和GA_LSSVR的预测模型。在此基础上,对无详细图纸的砖混建筑进行了震害指数预测,得到了惠州区域砖混建筑物的震害易损性矩阵。该预测模型利用KPCA对建筑物震害影响因素进行特征提取,并用LSSVR来对建筑物震害指数进行回归预测,利用GA对LSSVR中的相关参数进行寻优,其可用性和有效性均在文中有所验证。     

基于地震动参数的建筑物震害预测

针对目前我国流行的基于地震烈度的震害预测方法中的不足,本文借助美国广泛使用的地震损失评估软件HAZUS99技术手册中房屋易损性评估方法的表达形式,结合我国的震害经验,提出了一套基于地震动参数的群体建筑物震害预测方法。依据易损性矩阵,采用遗传算法与单纯形法相结合的混合算法反演典型结构的抗力曲线和易损性曲线的参数。给定表示地震作用的需求谱,就可以方便地完成典型结构的震害预测。以两个地区的多层砌体房屋为例,说明了本文提出方法的具体步骤,诊证了可靠性。     

基于GIS的建筑物震害预测系统的开发与应用

以上海市浦东新区潍坊街道为实验区,基于Arc GIS软件平台,开发了建筑物震害预测系统。该系统分为3个组件:震害矩阵统计工具、震害预测工具箱、建造年代及震害结果赋值工具,将建筑物的属性数据、建筑物易损性模型和震害预测结果嵌入GIS平台,实现了震害预测的批量化和自动化,以及预测结果的交互可视化。另外还将开发的建筑物震害预测系统应用于实验区,所得结论与以前项目研究成果对比一致,验证了该系统的可靠性,得出的震害预测结果,可以辅助城市抗震防灾规划的决策。     

砌体和钢混结构建筑群的破坏概率模型研究

通过对已有震害预测的易损性矩阵进行研究,对目前易损性矩阵的概率模型进行了修改。分析了华南地区建筑群的3种主要结构类型:钢混结构,砖混结构和砖木结构。将3种结构在各种烈度下的破坏状态分别进行了拟合和参数计算,针对其差异性提出了偏态分布和正态分布,给出了不同的破坏概率模型。在广东省惠州市数据的验算下,证明了对于砌体和钢混建筑群易损性矩阵的呈现有一定的参考意义。     

基于时变地震损伤模型的多龄期钢框架结构易损性分析

基于时变地震损伤模型提出酸性大气环境作用下多龄期钢框架结构概率地震易损性分析的方法及步骤;考虑服役龄期对钢框架结构抗震性能的影响,分别建立时变概率地震需求模型、时变概率抗震能力模型及时变易损性模型;在概率地震需求分析及概率抗震能力分析的基础上,得到多龄期(20年、30年、40年、50年)钢框架结构的易损性模型及易损性曲线。     

Seismic vulnerability estimation of the building considering seismic environment and local site condition

Introduction The estimation of damage probability distribution among different damage states of rein-forced concrete buildings is a key component of earthquake loss estimation for modern city or a group of cities. With the development of city, the reinforced concrete buildings are major compo-nent parts of modern cities. Vulnerability estimates for these kinds of buildings are of importance to those responsible for civil protection, relief, and emergency services to enable adequate contin-genc…     

统一考虑地震环境和局部场地影响的建筑物易损性研究

提出了一种综合考虑地震环境和场地影响的钢筋混凝土房屋地震易损性分析方法. 将地震环境、局部场地和工程结构作为一个整体,以概率地震危险性分析的方式考虑地震环境的影响,在此基础上详细考虑了随局部场地而变化的反应谱形状对结构地震反应及其破坏概率分布的影响. 此外,还提出了另一种表述结构易损性的方式,以对应于不同超越概率地震危险水平的方式, 提供结构地震破坏概率分布的信息.      

基于震害资料的四川省藏式房屋地震易损性研究

搜集自开展地震灾害直接损失评估以来,四川境内破坏性地震震害资料,统计省内藏式房屋在不同烈度不同破坏等级下的破坏比,给出易损性矩阵;采用房屋结构整体易损性分析方法,依据藏式房屋易损性矩阵,通过烈度与地震动参数的对应关系,以对数正态分布函数为模型,对藏式房屋在不同地震动参数(峰值速度)下超越毁坏、破坏、基本完好的概率曲线进行拟合,给出易损性曲线,为其他结构类型房屋的易损性研究、灾害损失评估工作及震害预测提供参考。     

基于BP神经网络的有限特征参数砌体结构震害等级推演

详细的建筑结构特征参数是得到合理地震易损性分析结果的基础.本文给出了一种结合已有地震易损性分析成果,在具备有限特征参数的情况下,利用BP神经网络进行单体或群体结构震害等级推演的方法.以陕西省渭南市607栋设防砌体易损性评估结果为样本构建了一个3层BP神经网络模型,并对北京市海淀区近2万栋设防砌体不同地震烈度下的可能破坏...     

Seismic fragility assessment of RC frame structure designed according to modern Chinese code for seismic design of buildings

Following several damaging earthquakes in China,research has been devoted to find the causes of the collapse of reinforced concrete(RC) building sand studying the vulnerability of existing buildings.The Chinese Code for Seismic Design of Buildings(CCSDB) has evolved over time,however,there is still reported earthquake induced damage of newly designed RC buildings.Thus,to investigate modern Chinese seismic design code,three low-,mid-and high-rise RC frames were designed according to the 2010 CCSDB and the corresponding vulnerability curves were derived by computing a probabilistic seismic demand model(PSDM).The PSDM was computed by carrying out nonlinear time history analysis using thirty ground motions obtained from the Pacific Earthquake Engineering Research Center.Finally,the PSDM was used to generate fragility curves for immediate occupancy,significant damage,and collapse prevention damage levels.Results of the vulnerability assessment indicate that the seismic demands on the three different frames designed according to the 2010 CCSDB meet the seismic requirements and are almost in the same safety level.     

一种适于震后快速评估的群体易损性分析方法

本文提出了一种适用于震后快速评估的群体易损性分析方法,将模糊数学中的熵权法确定权重和相似理论引入到群体易损性分析中,可快速准确地评估出群体建筑物的震害情况。本方法不需要详细调查城市所有房屋的结构力学参数,所采用的影响结构抗震能力的主要因素从房屋普查资料中即可获得,可作为将来震后快速评估系统的重要组成部分。同时,本方法还可以得到群体易损性曲线,可应用于预测城市震害、估计城市的综合抗震能力。本文以城镇中量大、面广的砌体结构为例,详细介绍了该方法的研究过程。最后,用算例证明了本方法的准确性和实用性。     

保定市典型多层砖混结构震害预测分析

将保定市42栋典型多层砖混结构分别按照年代、用途、层数分类,采用结构易损性方法进行震害预测分析,得出各自震害矩阵,并以平均抗震能力指数评价其抗震能力。分析结论可为保定市多层砖混群体震害预测提供参考。     

On the treatment of uncertainty in seismic vulnerability and portfolio risk assessment

In a related study developed by the authors, building fragility is represented by intensity‐specific distributions of damage exceedance probability of various damage states. The contribution of the latter has been demonstrated in the context of loss estimation of building portfolios, where it is shown that the proposed concept of conditional fragility functions provides the link between seismic intensity and the uncertainty in damage exceedance probabilities. In the present study, this methodology is extended to the definition of building vulnerability, whereby vulnerability functions are characterized by hazard‐consistent distributions of damage ratio per level of primary seismic intensity parameter—Sa(T₁). The latter is further included in a loss assessment framework, in which the impact of variability and spatial correlation of damage ratio in the probabilistic evaluation of seismic loss is accounted for, using test‐bed portfolios of 2, 5, and 8‐story precode reinforced concrete buildings located in the district of Lisbon, Portugal. This methodology is evaluated in comparison with current state‐of‐the‐art methods of vulnerability and loss calculation, highlighting the discrepancies that can arise in loss estimates when the variability and spatial distributions of damage ratio, influenced by ground motion properties other than the considered primary intensity measure, are not taken into account.     

A PRELIMINARY STUDY ON THE METHOD OF SEISMIC INTENSITY ASSESSMENT BASED ON RESIDENTIAL BUILDING DATA AND HIGH RESOLUTION REMOTE SENSING IMAGES

After destructive earthquakes, the assessment result of seismic intensity is an important decision-making basis for emergency rescue, recovery and reconstruction. This job requires higher timeliness by government and society. Because remote sensing technology is not affected by the terrible traffic conditions on the ground after the earthquake, large-scale seismic damage information in the earthquake area can be collected in a short time by the remote sensing image. The remote sensing technique plays a more and more important role in rapid acquisition of seismic damage information, emergency rescue decision-making, seismic intensity assessment and other work. On the basis of previous studies, this paper proposes a new method to assess seismic intensity by using remote sensing image, i.e. to interpret the building collapse rate of a residential quarter after an earthquake by high-resolution remote sensing images. If there already are detailed building data and building structure vulnerability matrix data of a residential area, we can calculate the building collapse rate under any intensity values in this residential area by using the theory of earthquake damage prediction. Assuming that the building collapse rate interpreted by remote sensing is equal to the building collapse rate predicted by using the existing data, it will be easy to calculate the actual seismic intensity of the residential area in this earthquake event. Based on this idea, according to the relevant standard specifications issued by China Earthquake Administration, this paper puts forward some functional models, such as the calculation model of building collapse rate based on remote sensing, the data matrix model of residential building structure, the prediction function matrix model of residential building collapse rate and the prediction model of residential building collapse rate. A formula for calculating seismic intensity by using remote sensing interpretation of collapse rate is also proposed. To test and verify the proposed method, this paper takes two neighboring blocks of Jiegu Town after the Yushu M7.1 earthquake in Qinghai Province as an example. The building structure matrix of the study block was constructed by using pre-earthquake 0.6m resolution satellite remote sensing image(QuickBird, acquired on November 6, 2004), post-earthquake 0.2m aerial remote sensing image(acquired by National Bureau of Surveying and Mapping, April 15, 2010) and some field investigation data. The building collapse rate in the two blocks was calculated by using the interpretation results of seismic damage from the Remote Sensing Technology Coordinating Group of China Seismological Bureau. The seismic damage matrix of building structures in Yushu area is constructed by using the abundant scientific data of the scientific investigation team of the project “Comprehensive Scientific Investigation of the Yushu M7.1 Earthquake in Qinghai Province” of China Seismological Bureau. On this basis, the collapse rate prediction function of different structures in Yushu area is constructed. According to the prediction function of collapse rate and the building structure matrix of the two blocks, the building collapse rate under different intensity values is predicted, and the curve of intensity-collapse rate function is drawn. By comparing the building collapse rate interpreted by remote sensing and the intensity-collapse rate function curve of this two blocks, the seismic intensity of both blocks are calculated to be the same value: Ⅸ degree, which is consistent with the results of the field scientific investigation of the earthquake. The validation shows that the method proposed in this paper can effectively avoid the influence caused by the difference of seismic performance of buildings and accurately evaluate seismic intensity when using remote sensing technique. The method has certain application value for earthquake emergency work.