Estimating the standard deviation of soil properties with limited samples through the Bayesian approach

J. P. Wang, Yun Xu

研究成果: 雜誌貢獻期刊論文同行評審

11 引文 斯高帕斯(Scopus)

摘要

Characterizing the standard deviation of soil properties is important to a geotechnical probabilistic analysis, and the task is usually achieved with sufficient samples. However, sometimes soil samples or soil tests in a project could be limited (e.g., only one sample), making classical statistics approaches less applicable to the estimating. In this technical note, we introduce a new Bayesian algorithm to estimate the standard deviation of soil properties, using limited project-specific samples along with relevant prior information from the literature. In addition to the methodology, a few demonstrations are also given in the paper, to re-evaluate the standard deviation of soil properties with the new algorithm. Like many Bayesian algorithms, the new application could be useful for site characterizations when samples are limited.

原文???core.languages.en_GB???
頁(從 - 到)271-278
頁數8
期刊Bulletin of Engineering Geology and the Environment
74
發行號1
DOIs
出版狀態已出版 - 1 1月 2015

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