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Characterising soil property in an area with limited measurement: a Bayesian approach

机译:用有限的测量方法表征区域内的土壤特性:贝叶斯方法

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摘要

The Bayesian approach has been proved useful to geotechnical engineering especially when project-specific data/measurements are very limited. In this paper, we introduced a new Bayesian algorithm to estimate soil properties at each location of a study area, with very limited project-specific data. In addition to the proposed methodology and algorithms, we also conducted a model application to estimate soil permeability for each of the 64 locations within a 4-by-4 m~2 area, based on very limited project-specific data, that is, one measurement from each location.
机译:贝叶斯方法已被证明对岩土工程有用,特别是当特定于项目的数据/测量非常有限时。在本文中,我们引入了一种新的贝叶斯算法,可以用非常有限的项目特定数据来估算研究区域每个位置的土壤特性。除了提出的方法和算法外,我们还基于非常有限的项目特定数据,进行了一个模型应用程序,以估算4×4 m〜2区域内64个位置中每个位置的土壤渗透率。从每个位置进行测量。

著录项

  • 来源
    《Georisk》 |2017年第2期|189-196|共8页
  • 作者

    Wei Yang; Yun Xu; J. P. Wang;

  • 作者单位

    Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong;

    Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong;

    Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Geotechnical site characterisation; Bayesian approach; smoothing;

    机译:岩土工地特征;贝叶斯方法;平滑;

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