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Integrated analysis of data collected by an innovative monitoring system and results of a 3D numerical model in Boschetto landslide

机译:对由创新监测系统收集的数据和Boschetto滑坡的3D数值模型的结果进行综合分析

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摘要

This paper illustrates the studies carried out on a landslide phenomenon occurred during the Spring of 2013 in Boschetto, a little town in the Parma Apennines, after some days of heavy rain. The activation/reactivation of the landslide caused the interruption of a provincial road and the disruption of few houses. The work presented aims to reconstruct the process that caused the landslide activation. It describes also an innovative automated monitoring system that collects and remotely sends data. The main advantages of an automated monitoring system are the high acquisition frequency, the simultaneous recording of several physical entities. The large database of collected data and a statistical approach have been used for the analysis, in order to verify if accidental or systematic errors were present and eventually correct them. The results are shown together with the back-analysis simulation, made with 3D numerical model (GTS-NX) based on FEM and Mohr-Coulomb criteria.
机译:本文举例说明了对2013年春季在帕尔马亚平宁山脉小镇Boschetto发生的滑坡现象进行的研究。滑坡的激活/重新激活造成了省道的中断和少量房屋的中断。提出的工作旨在重建导致滑坡活化的过程。它还描述了一种创新的自动监视系统,该系统可以收集并远程发送数据。自动化监控系统的主要优点是采集频率高,可以同时记录多个物理实体。大型的收集数据数据库和统计方法已用于分析,以验证是否存在意外或系统性错误并最终对其进行纠正。结果与基于FEM和Mohr-Coulomb标准的3D数值模型(GTS-NX)进行的反向分析仿真一起显示。

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