The Use of Databases to Analyze Model Uncertainties of Geotechnical Design Procedures

Kerstin Lesny*

*Corresponding author for this work

Abstract

The deviation of the predicted behavior of a geotechnical structure for a given design to its real behavior is commonly addressed by the model uncertainty of the applied design method. The model factor approach is the easiest way to express this uncertainty. Herewith, the model factor is defined as the ratio of the design quantity measured in a load test to its predicted value using the design method in question. Databases of well-documented field and laboratory tests are a good tool to quantify model factors. However, the number of load tests, the quality and quantity of information available for each test in the database determine significantly the model factor evaluation. The conditions at the test site such as the scale and geometry of the model or prototype, the soil characteristics, the test performance and the interpretation of the test results are identified to be of special importance for the quality of the database.
Original languageEnglish
Title of host publicationGeotechnical Special Publication
EditorsJinsong Huang, Gordon A. Fenton, Limin Zhang, D. V. Griffiths
PublisherAmerican Society of Civil Engineers
Pages660-669
Number of pages10
EditionGSP 285
ISBN (Electronic)9780784480724
DOIs
Publication statusPublished - Jun 2017
EventGeo-Risk 2017 - Denver, United States
Duration: 4 Jun 20177 Jun 2017

Publication series

NameGeotechnical Special Publication
NumberGSP 285
Volume0
ISSN (Print)0895-0563

Conference

ConferenceGeo-Risk 2017
Country/TerritoryUnited States
CityDenver
Period4/06/177/06/17

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