DINGO: A Pile Load Test Database

Paul J Vardanega, Jamie J Crispin*, Charlotte Gilder, Elia Voyagaki, K. Ntassiou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

Prediction of pile performance often relies upon full-scale pile load testing to better manage geotechnical uncertainty and enable less conservative design. Many analysis methods (e.g. the α-method) require a load test database for calibration. Databases of these tests can provide detailed design guidance in specific geological deposits. However, full scale tests are expensive, and the results, for a variety of reasons, are not always shared with the wider geotechnical community. The DINGO database is an openly accessible database of full-scale pile load tests carried out in UK soils. This paper reports on the building of the database as well as the challenges involved and lessons learnt in collecting and sharing the pile test data. The pile test data in the database is presented by sorting for ‘Geological Deposit’, ‘Construction Decade’ and ‘Construction Type’. A preliminary classification of the quality of information contained in the database is also presented.
Original languageEnglish
Title of host publicationPiling 2020
Subtitle of host publicationProceedings of the Piling 2020 Conference
Editors K.G. Higgins, Y. Ainsworth, D.G. Toll, A.S. Osman
Place of PublicationLondon, UK
PublisherICE Publishing
Pages229-234
ISBN (Print)9780727765048
DOIs
Publication statusPublished - 5 Mar 2021
EventPILING 2020 - Online
Duration: 23 Mar 202126 Mar 2021
https://www.piling2020.org/

Conference

ConferencePILING 2020
Period23/03/2126/03/21
Internet address

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