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首页> 外文期刊>Journal of geotechnical and geoenvironmental engineering >Expanded Database Assessment of Design Methods for Spread Foundations under Axial Compression and Uplift Loading
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Expanded Database Assessment of Design Methods for Spread Foundations under Axial Compression and Uplift Loading

机译：扩展数据库评估轴向压缩和隆起载荷下的扩展基础的设计方法

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摘要

This paper compiles two expanded databases-NUS/SpreadFound/919 and NUS/RockFound/270-to evaluate the calculation methods of foundation capacity, where the number is the number of load tests collated. The mean (bias) and coefficient of variation (COW) (dispersion) of the model factor, defined as a ratio of measured-to-calculated capacity, are computed. With the statistics of a ratio of calculated-to-observed foundation settlement reported in literature, design methods for foundation capacity and settlement are classified according to their ability to match measured values. Such a statistical-based classification provides the designer with a sense of the accuracy of a capacity or settlement model. For the 298 case records in NUS/SpreadFound/919, the uncertainty exhibited by the load-movement curves over their full range of movements is captured by two parameters in a hyperbolic fitting of measured data. Copula analysis is adopted to evaluate the observed correlation structure between the hyperbolic parameters. Finally, the model statistics are applied to calibrate the resistance factors in load and resistance factor design of spread foundations at ultimate and serviceability limit states.
机译：本文编译了两个扩展的数据库 - NUS / SpreadFound / 919和Nus / RockFound / 270 - 评估基础容量的计算方法，其中数字是整理的负载测试数量。计算模型因子的平均（偏置）和变化（母牛）（色散）定义为测量到计算的容量的比率。通过在文献中报告的计算到观测到的基础结算比例的统计数据，基础能力和结算的设计方法根据其匹配测量值的能力进行分类。这种基于统计的分类提供了设计人员，具有容量或结算模型的准确性。对于NUS / SpreadFound / 919中的298个案例记录，由测量数据的双曲线拟合中的两个参数捕获负载曲线展示的不确定性。采用Copula分析来评估双曲线参数之间观察到的相关结构。最后，应用了模型统计，以校准终极和可维护性限制状态下扩散基础的负载和电阻因子设计中的阻力因子。

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  • 来源
    《Journal of geotechnical and geoenvironmental engineering》 |2020年第11期|04020119.1-04020119.21|共21页
  • 作者

    Chong Tang; Kok-Kwang Phoon; Dian-Qing Li; Sami O. Akbas;

  • 作者单位

    Dept. of Civil and Environmental Engineering National Univ. of Singapore Block E1A #07-03 1 Engineering Dr. 2 Singapore 117576;

    Dept. of Civil and Environmental Engineering National Univ. of Singapore Block E1A #07-03 1 Engineering Dr. 2 Singapore 117576;

    State Key Laboratory of Water Resources and Hydropower Engineering Science Institute of Engineering Risk and Disaster Prevention Wuhan Univ. 8 Donghu South Rd. Wuhan 430072 People's Republic of China;

    Dept. of Civil Engineering Gazi Univ. Celal Bayar Bulvari Maltepe Ankara 06570 Turkey;

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