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首页> 外文期刊>Earthquake and structures: An International journal of earthquake engineering & earthquake effects on structures >Evaluation of damage probability matrices from observational seismic damage data
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Evaluation of damage probability matrices from observational seismic damage data

机译:根据观测地震破坏数据评估破坏概率矩阵

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摘要

The current research focuses on the seismic vulnerability assessment of typical Southern Europe buildings, based on processing of a large set of observational damage data. The presented study constitutes a sequel of a previous research. The damage statistics have been enriched and a wider damage database (178578 buildings) is created compared to the one of the first presented paper (73468 buildings) with Damage Probability Matrices (DPMs) after the elaboration of the results from post-earthquake surveys carried out in the area struck by the 7-9-1999 near field Athens earthquake. The dataset comprises buildings which developed damage in several degree, type and extent. Two different parameters are estimated for the description of the seismic demand. After the classification of damaged buildings into structural types they are further categorized according to the level of damage and macroseismic intensity. The relative and the cumulative frequencies of the different damage states, for each structural type and each intensity level, are computed and presented, in terms of damage ratio. Damage Probability Matrices (DPMs) are obtained for typical structural types and they are compared to existing matrices derived from regions with similar building stock and soil conditions. A procedure is presented for the classification of those buildings which initially could not be discriminated into structural types due to restricted information and hence they had been disregarded. New proportional DPMs are developed and a correlation analysis is fulfilled with the existing vulnerability relations.
机译:当前的研究基于对大量观测损害数据的处理,着眼于典型的南欧建筑的地震易损性评估。提出的研究构成了先前研究的续集。在详细阐述了地震后调查结果之后,与第一份提出的带有损坏概率矩阵(DPM)的论文(73468座建筑物)相比,损坏统计数据得到了丰富,并创建了更广泛的损坏数据库(178578座建筑物)在1999年7月9日的近场雅典地震袭击的地区。数据集包括在不同程度,类型和范围内产生破坏的建筑物。为描述地震需求估计了两个不同的参数。将损坏的建筑物分类为结构类型后,根据损坏的程度和宏观地震烈度将它们进一步分类。对于每种结构类型和每种强度水平,根据损伤率计算并给出了不同损伤状态的相对频率和累积频率。获得典型结构类型的损坏概率矩阵(DPM),并将它们与衍生自具有相似建筑存量和土壤条件的区域的现有矩阵进行比较。提出了一种对那些由于信息受限而最初无法区分为结构类型的建筑物进行分类的程序,因此已被忽略。开发了新的比例DPM,并利用现有的漏洞关系完成了相关性分析。

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