Springer Verlag;Berlin/Heidelberg: Springer Berlin Heidelberg
摘要:
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. 其他題名： Bull Eng Geol Environ 出版者： Berlin/Heidelberg: Springer Berlin Heidelberg 出版日期： 2015-02-01 出處： Bulletin of engineering geology and the environment, 2015-02, Vol.74 (1), p.271-278 資源來源： Agricultural & Environmental Science Collection 版權： Springer-Verlag Berlin Heidelberg 2014 版權： Springer-Verlag Berlin Heidelberg 2015 識別號： ISSN: 1435-9529 識別號： EISSN: 1435-9537 識別號： DOI: 10.1007/s10064-014-0609-5 識別號： CODEN: BIEGB6
