Evaluation of Statistical Estimation Error in an Embankment Stability Problem

Yusuke Honjo, Yu Otake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


A method to evaluate statistical estimation error of the mean of the local average (LA) of a geotechnical parameter is applied to an embankment stability problem. It is known that the LA of a soil mass that contains the critical slip surface controls the stability of an embankment on soft ground. Thus the statistical estimation error problem is specified as the estimation error evaluation problem of this LA mean. The soil profile is model by a stationary random field (RF), which is simplification and idealization of the real ground. The LA at an arbitrary point in the RF is estimated from limited samples obtained from the same filed. The two estimation methods are proposed, namely the General estimation and the Local estimation. The relative position of samples and of the structures are not considered in the former, whereas they are considered in the latter. The theory is illustrated by an embankment stability example.

Original languageEnglish
Title of host publicationGeotechnical Special Publication
EditorsJinsong Huang, Gordon A. Fenton, Limin Zhang, D. V. Griffiths
PublisherAmerican Society of Civil Engineers (ASCE)
Number of pages10
EditionGSP 285
ISBN (Electronic)9780784480724
Publication statusPublished - 2017
Externally publishedYes
EventGeo-Risk 2017 - Denver, United States
Duration: 2017 Jun 42017 Jun 7

Publication series

NameGeotechnical Special Publication
NumberGSP 285
ISSN (Print)0895-0563


ConferenceGeo-Risk 2017
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Building and Construction
  • Geotechnical Engineering and Engineering Geology


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