Abstract The great influence of site effects on damage patterns produced by seismic events of the past, stresses out the need to find proper relationships between the site local conditions and the potential damage that existing buildings may experience under earthquakes of different intensity. This issue proved to be relevant, especially for those masonry buildings in small historic centers, such as the ones belonging to the Apennine areas of Italy that suffered serious damage after the 2009 L'Aquila and the 2016–2017 Central Italy seismic sequences. Some of these centers showed a not regular damage distribution, suggesting that site effects influenced the seismic response of their buildings. In this perspective, this paper provides an attempt to correlate earthquake damage to site effects, focusing the attention on two historic centers of the Abruzzi region, Campotosto and Cortino, which were damaged by the 2016–2017 Central Italy seismic sequences and for which the amplification factors of the subsoil were carefully identified, resulting more influencing were higher damage was observed. First, the damage patterns observed after the 18 January 2017 seismic shock are represented in terms of Damage Probability Matrices and maps developed in GIS environment. Moreover, the data collected in terms of stats are interpreted through the application of the binomial probability distribution, in order to check its reliability in reproducing the gathered frequencies. Finally, in order to justify the damage of some specific buildings, the results of site response analyses are compared with the damage observed punctually on three damaged masonry buildings.

中文翻译：

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场地影响和破坏情景：2016 年意大利中部地震后两个历史中心的案例研究

摘要 场地效应对过去地震事件造成的破坏模式的巨大影响，强调需要找到场地当地条件与现有建筑物在不同强度地震下可能遭受的潜在破坏之间的适当关系。这个问题被证明是相关的，特别是对于那些位于小型历史中心的砖石建筑，例如属于意大利亚平宁地区的那些在 2009 年拉奎拉和 2016-2017 年意大利中部地震序列后遭受严重破坏的建筑。其中一些中心显示出不规则的损坏分布，表明场地效应影响了其建筑物的地震响应。从这个角度来看，本文试图将地震破坏与场地效应联系起来，将注意力集中在阿布鲁齐地区的两个历史中心 Campotosto 和 Cortino，它们受到 2016-2017 年意大利中部地震序列的破坏，并且仔细确定了底土的放大因子，导致更大的影响是观察到更高的破坏。首先，在 2017 年 1 月 18 日地震冲击后观察到的损坏模式以损坏概率矩阵和在 GIS 环境中开发的地图表示。此外，根据统计数据收集的数据通过应用二项式概率分布进行解释，以检查其再现收集频率的可靠性。最后，为了证明某些特定建筑物的损坏是合理的，