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Probabilistic liquefaction-induced lateral spread hazard mapping and its application to Utah County, Utah

机译:概率液化诱导的横向蔓延危险映射及其在犹他州犹他州县的应用

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摘要

Earthquake-induced liquefaction may result in the lateral spread displacement of soil down gently sloping ground or towards a free-face, causing severe and costly damage to various facilities, bridges, buildings and other critical infrastructure. Despite the availability of analytical methods, most engineers currently use empirical or semi-empirical regression models to estimate liquefaction-induced lateral spread displacements at specific sites. However, the application of these regression models for regional mapping over a large geographic areas can be difficult because of challenges associated with the adequate characterization of subsurface soil and groundwater conditions, geotechnical properties, regional topography, and uncertainties associated with the causative seismic loading. To address these challenges, this paper presents a new and fully probabilistic procedure for regional hazard mapping of liquefaction-induced lateral spread displacement. The mapping process is demonstrated through an implementation in Utah County, Utah. To demonstrate the type of lateral spread displacement hazard maps possible, maps corresponding to return periods of 1033 and 2475 years are developed for Utah County, Utah. The proposed procedure incorporates topographical data from airborne lidar surveys and geotechnical and geological data from available maps and subsurface explorations. It accounts for uncertainties in the soil properties, seismic loading, and the empirical models for predicting lateral spread displacement using Monte Carlo simulations.
机译:地震诱导的液化可能导致土壤横向扩散的横向倾斜地倾斜或朝向自由面,对各种设施,桥梁,建筑物和其他关键基础设施造成严重和昂贵的损害。尽管提供了分析方法,但大多数工程师目前使用经验或半经验回归模型来估计特定部位的液化引起的横向涂抹位移。然而,由于与地下土壤和地下水条件,岩土性质,区域地形地形,与致病地震荷载相关的途径相关的挑战,这些回归模型的应用可能是困难的。为了解决这些挑战,本文提出了液化引起的横向扩展位移的区域危害映射的新概率过程。通过在犹他州犹他州县的实施来证明了映射过程。为了展示横向扩展位移危险的类型可能,为犹他州犹他州县开发了与返回期限为1033和2475年的地图。该拟议的程序将来自空中LIDAR调查和来自可用地图和地下探索的地质资料和地质数据的地形数据纳入了地形数据。它占土壤性质,地震荷载和经验模型的不确定性,用于使用蒙特卡罗模拟预测横向扩展位移的实证模型。

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