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首页> 外文期刊>Bulletin of earthquake engineering >Analytical versus observational fragilities: the case of Pettino (L'Aquila) damage data database
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Analytical versus observational fragilities: the case of Pettino (L'Aquila) damage data database

机译：分析性脆弱性与观察性脆弱性：佩蒂诺（拉奎拉）损坏数据数据库

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摘要

A damage data database of 131 reinforced concrete (RC) buildings, collected after 2009 L'Aquila (Italy) earthquake, is employed for the evaluation of observational fragility curves. The specific interpretation of damage data allowed carrying out fragility curves for slight, moderate, and heavy damage, (i.e., DS1, DS2, and DS3), defined according to EMS 98 macroseismic scale. Observational fragility curves are then employed for the calibration of FAST analytical methodology. FAST method is a spectral based approach, meant for the estimate of fragility curves of infilled RC buildings up to DS3, evaluated, again, according to EMS98. Kullback-Leibler divergence is employed to check the matching between analytical and observational fragilities. FAST input variables can vary in quite large ranges and the calibration provides a valuable suggestion for the application of the method in other cases in which field damage data are not available. Results showed that optimizing values, for the input variables calibrated, are in good agreement with typical values assumed in literature. Analytical results showed a very satisfactory agreement with observational data for DS2 and DS3, while systematical underestimation was found for the case of DS1.
机译：2009年意大利拉奎拉地震后收集的131座钢筋混凝土（RC）建筑物的损坏数据数据库用于评估观测的易碎性曲线。破损数据的特定解释允许根据EMS 98宏观地震标度定义轻微，中度和重度破损（即DS1，DS2和DS3）的脆弱性曲线。然后将观察到的脆性曲线用于FAST分析方法的校准。 FAST方法是一种基于频谱的方法，用于估计直至DS3的已填充RC建筑物的脆性曲线，并根据EMS98进行了评估。 Kullback-Leibler散度用于检查分析脆弱性和观察脆弱性之间的匹配。 FAST输入变量可以在相当大的范围内变化，在没有现场损伤数据的其他情况下，校准为该方法的应用提供了宝贵的建议。结果表明，对于校准的输入变量，优化值与文献中假定的典型值非常吻合。分析结果表明，与DS2和DS3的观测数据非常令人满意的一致性，而DS1的情况被系统地低估了。

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