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Retesting of Liquefaction/Nonliquefaction Case Histories in the Imperial Valley

机译:帝国谷液化/非液化案例历史的重新测试

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摘要

This paper describes the retesting of liquefaction and nonliquefaction field case histories in the Imperial Valley using the electric cone penetration test (CPT). Subsurface testing of the River Park and Heber Road sites first occurred following the 1979 Imperial Valley earthquake (Bennett et al. 1981, Youd and Bennett 1983). These two sites are rich in information because they have experienced several earthquakes in recent history, have been subjected to moderate levels of strong ground shaking, the liquefiable layers have appreciable fines content, and the sites contain a number of high-quality non-liquefied data points. The recent liquefaction case history database for probabilistic assessment of liquefaction triggering by Moss et al. (2003), is based primarily on data acquired using the modern electric cone following ASTM D5778. Case histories previously explored with a cone not adhering to current ASTM standards may introduce significant epistemic uncertainty into the assessment of liquefaction potential and are considered sub-optimal for probabilistic analysis purposes. This paper describes the acquisition and analysis of modern electric cone data at the Heber Road and River Park sites. These important sites can now be incorporated into the probabilistic CPT-based liquefaction case history database and used for back-analysis of liquefaction triggering. Discussed are the effects of ground motion character and frequency content on liquefaction at these two sites and how this influences the results using a simplified liquefaction procedure.
机译:本文介绍了使用电锥穿透测试(CPT)对帝国谷中液化和非液化领域案例的重新测试。在1979年帝国谷地震之后,首先对River Park和Heber Road站点进行了地下测试(Bennett等,1981; Youd和Bennett,1983)。这两个站点的信息丰富,因为它们在最近的历史中经历过几次地震,经受了中等水平的强烈地面震动,可液化的层具有可观的细粉含量,并且这些站点包含许多高质量的非液化数据点。 Moss等人最近的液化案例历史数据库用于对液化触发的概率进行评估。 (2003年),主要基于遵循ASTM D5778使用现代电锥所获得的数据。以前使用不符合当前ASTM标准的锥孔探索的案例历史记录可能会在液化潜能评估中引入重大的认知不确定性,并且出于概率分析的目的被认为是次优的。本文介绍了在Heber Road和River Park站点上获取和分析现代电锥数据的方法。现在可以将这些重要站点合并到基于概率的基于CPT的液化案例历史数据库中,并用于液化触发的反向分析。讨论了地面运动特征和频率含量对这两个位置的液化的影响,以及使用简化的液化程序如何影响液化的结果。

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