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首页> 外文期刊>Journal of geotechnical and geoenvironmental engineering >Robust LRFD Resistance Factor Calibration for Axially Loaded Drilled Shafts in Las Vegas
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Robust LRFD Resistance Factor Calibration for Axially Loaded Drilled Shafts in Las Vegas

机译：拉斯维加斯轴向负载钻杆的稳健LRFD阻力因数校准

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摘要

Resistance factors for load and resistance factor design (LRFD) of axially loaded drilled shafts in the Las Vegas Valley are calibrated using data from 41 field load tests. In addition to the traditional use of Monte Carlo (MC) simulations for calibration, a more robust technique is investigated in which nested MC simulations are employed to capture the uncertainty associated with the interpretation of material properties from in situ test data. Measures are also taken to improve design procedures regarding cemented sandy soils colloquially referred to as caliche. Although caliche is common in Las Vegas, its potential contribution to resistance is difficult to predict using typical site investigation data and there is currently no consensus among local engineers regarding how it should be considered in design. Thus, an approach for treating caliche is proposed and compared to three other potentially viable methods. Overall it is found that the proposed design approach produces the most accurate nominal axial capacity predictions and the nested MC simulations yield lower resistance factors than traditional calibration procedures.
机译：使用来自41个现场负载测试的数据校准了拉斯维加斯山谷中轴向负载的钻杆的负载阻力系数和阻力系数设计（LRFD）。除了传统上使用蒙特卡洛（MC）模拟进行校准外，还研究了一种更可靠的技术，其中采用嵌套式MC模拟来捕获与从原位测试数据中解释材料性能相关的不确定性。还采取了一些措施来改善有关水泥砂土的设计程序，俗称俗称“钙粉”。尽管加利奇在拉斯维加斯很普遍，但使用典型的现场调查数据很难预测其对阻力的潜在贡献，并且目前在本地工程师之间尚无关于在设计中应如何考虑的共识。因此，提出了一种用于处理冰壶的方法，并将其与其他三种可能的可行方法进行比较。总的来说，发现所提出的设计方法可产生最准确的名义轴向容量预测，并且嵌套式MC模拟产生的电阻系数比传统的校准程序低。

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