Statistical estimation error evaluation theory of local averages of a geotechnical parameter

Y. Honjo, Y. Otake

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

8 Citations (Scopus)

Abstract

Amethod to evaluate statistical estimation error of the mean of the local average of a geotechnical parameter is proposed and verified in this paper. The soil profile is model by a stationary random field, which is simplification and idealization of the real ground. The local average at an arbitrary point in the random field 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 samplings and of the structures are not considered in the former, whereas they are considered in the latter. The theory is merely idealization and simplification of the real problem. The theory is verified based on intensive cone penetration tests (CPT) at three sites. The method is basically cross verification which compares the estimated estimation variance with calculated true values based on the intensive CPT measurements.

Original languageEnglish
Title of host publicationSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Pages1987-1994
Number of pages8
Publication statusPublished - 2013 Dec 1
Externally publishedYes
Event11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 - New York, NY, United States
Duration: 2013 Jun 162013 Jun 20

Publication series

NameSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013

Other

Other11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Country/TerritoryUnited States
CityNew York, NY
Period13/6/1613/6/20

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

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