Systematic Transformation Error in the Depth-Average Undrained Shear Strength

Mark van der Krogt, Timo Schweckendiek

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

44 Downloads (Pure)

Abstract

In this paper we show how to calibrate a site-specific transformation model to measure the undrained shear strength from CPTs. This practically unbiased transformation model can then be used to make a better estimation of the spatial average parameter, such as the depth-average of a soil layer in a homogenous deposit, using less costly indirect measurements. We show that there is a considerable difference in terms of characteristic value and probability density, between the assumptions of entirely random or systematic transformation uncertainty. Ultimately we show what the effect is of making more realistic choices for the random and systematic part in the transformation uncertainty for a case study with actual data.
Original languageEnglish
Title of host publicationProceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR)
EditorsJianye Ching, Dian-Qing Li, Jie Zhang
PublisherResearch Publishing
Pages158-163
Number of pages6
ISBN (Electronic)978-981-11-2725-0
Publication statusPublished - Dec 2019
EventISGSR 2019: 7th International Symposium on Geotechnical Safety and Risk - National Taiwan University of Science and Technology, Taipei, Taiwan
Duration: 11 Dec 201913 Dec 2019
http://isgsr2019.org/

Conference

ConferenceISGSR 2019: 7th International Symposium on Geotechnical Safety and Risk
Abbreviated titleISGSR 2019
Country/TerritoryTaiwan
CityTaipei
Period11/12/1913/12/19
Internet address

Keywords

  • Site investigation
  • spatial average
  • undrained shear strength
  • transformation error
  • random error
  • systematic error

Fingerprint

Dive into the research topics of 'Systematic Transformation Error in the Depth-Average Undrained Shear Strength'. Together they form a unique fingerprint.

Cite this