The DINGO database of axial pile–load tests for the United Kingdom: Determination of ultimate load

Manar M  Othman; Elia Voyagaki; Jamie J.  Crispin; Konstantina Ntassiou; Charlotte Gilder; Flavia De Luca; George Mylonakis; Paul J Vardanega

doi:10.1201/9781003441960-10

The DINGO database of axial pile–load tests for the United Kingdom: Determination of ultimate load

Manar M Othman, Elia Voyagaki, Jamie J. Crispin, Konstantina Ntassiou, Charlotte Gilder, Flavia De Luca, George Mylonakis, Paul J Vardanega

School of Civil, Aerospace and Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

2 Citations (Scopus)

16 Downloads (Pure)

Abstract

Databases containing pile information are widely used to assess the reliability of design and performance prediction methods. The DINGO database of test piles installed in UK soils contains over 500 records collected from both literature and industry sources. This chapter details the collation of the database and details on the distribution of the test piles and previous analyses that have been undertaken. In this work, the DINGO database is used to assess the reliability and usability of eight methods for interpreting the ultimate pile capacity from filed test load–settlement information. The methods include mathematical model approaches, graphical estimations, and settlement limits. Higher ultimate loads were interpreted using the Chin method while lower ultimate loads were calculated using the DeBeer method. Finally, the average factor of safety for the pile tests used in this study was calculated to be 2.63 across all eight methods, with 26.6 and 1.05 being maximum and minimum values, respectively.

Original language	English
Title of host publication	Databases for Data-Centric Geotechnics
Subtitle of host publication	Geotechnical Structures
Editors	Chong Tang, Kok-Kwang Phoon
Place of Publication	Boca Raton
Publisher	CRC Press (Taylor & Francis Group)
Chapter	10
Pages	406-449
Number of pages	44
Edition	1st
ISBN (Electronic)	9781003441960
ISBN (Print)	9781032579108
DOIs	https://doi.org/10.1201/9781003441960-10
Publication status	Published - 2025

Publication series

Name	Challenges in Geotechnical and Rock Engineering
Publisher	Routledge
ISSN (Print)	2997-4925
ISSN (Electronic)	2997-4917

Bibliographical note

Publisher Copyright:
© 2025 selection and editorial matter, Chong Tang and Kok-Kwang Phoon; individual chapters, the contributors.

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10.1201/9781003441960-10Licence: CC BY

Full-text PDF (final published version)Final published version, 13.8 MBLicence: CC BY

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2 Citations
4 Conference Contribution (Conference Proceeding)
1 Article (Academic Journal)

Preliminary study of ultimate load prediction using the DINGO database
Othman, M. M. A., Voyagaki, E., De Luca, F., Mylonakis, G., Vardanega, P. J. & Crispin, J., 4 Aug 2023, Smart Geotechnics for Smart Societies: Proceedings of the 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering (17ARC), Astana, Kazakhstan, 14-18 August 2023. Zhussupbekov, A., Sarsembayeva, A. & Kaliakin, V. N. (eds.). London: CRC Press/Balkema, Taylor & Francis Group, p. 1487-1492 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Open Access
File
1 Citation (Scopus)

114 Downloads (Pure)
The DINGO database of axial pile load tests for the UK: settlement prediction in fine-grained soils
Voyagaki, E., Crispin, J. J., Gilder, C., Ntassiou, K., O'Riordan, N., Nowak, P., Sadek, T., Patel, D., Mylonakis, G. & Vardanega, P. J., 1 Dec 2022, In: Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 16, 4, p. 640-661 22 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
10 Citations (Scopus)

236 Downloads (Pure)
DINGO: A Pile Load Test Database
Vardanega, P. J., Crispin, J. J., Gilder, C., Voyagaki, E. & Ntassiou, K., 5 Mar 2021, Piling 2020: Proceedings of the Piling 2020 Conference. Higgins, K. G., Ainsworth, Y., Toll, D. G. & Osman, A. S. (eds.). London, UK: ICE Publishing, p. 229-234
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Open Access
File
397 Downloads (Pure)

Use of Open-Access Databases to Characterise Geotechnical Parameter and Model Uncertainty.
Othman, M. M. A. (Author), Vardanega, P. J. (Supervisor) & De Luca, F. (Supervisor), 10 Dec 2024
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

File

The DINGO Database, v1.2
Vardanega, P. (Creator), Othman, M. (Creator), Voyagaki, E. (Creator), Crispin, J. (Creator), Gilder, C. (Creator) & Ntassiou, K. (Creator), University of Bristol, 27 Mar 2024
DOI: 10.5523/bris.1jraem68g7ara21p2oi6hv4z22, http://data.bris.ac.uk/data/dataset/1jraem68g7ara21p2oi6hv4z22
Dataset
The DINGO Database, v1.1 (UPDATED version available at DOI: 10.5523/bris.1jraem68g7ara21p2oi6hv4z22)
Vardanega, P. (Creator), Voyagaki, E. (Creator), Crispin, J. (Creator), Gilder, C. (Creator) & Ntasiou, K. (Creator), University of Bristol, 23 Apr 2021
DOI: 10.5523/bris.89r3npvewel2ea8ttb67ku4d, http://data.bris.ac.uk/data/dataset/89r3npvewel2ea8ttb67ku4d
Dataset
The DINGO Database, v1.0
Vardanega, P. (Creator), Voyagaki, E. (Creator), Crispin, J. (Creator), Gilder, C. (Creator) & Ntasiou, K. (Creator), University of Bristol, 30 May 2019
DOI: 10.5523/bris.3r14qbdhv648b2p83gjqby2fl8, http://data.bris.ac.uk/data/dataset/3r14qbdhv648b2p83gjqby2fl8
Dataset

Cite this

Othman, M. M., Voyagaki, E., Crispin, J. J., Ntassiou, K., Gilder, C., De Luca, F., Mylonakis, G., & Vardanega, P. J. (2025). The DINGO database of axial pile–load tests for the United Kingdom: Determination of ultimate load. In C. Tang, & K.-K. Phoon (Eds.), Databases for Data-Centric Geotechnics: Geotechnical Structures (1st ed., pp. 406-449). (Challenges in Geotechnical and Rock Engineering). CRC Press (Taylor & Francis Group). https://doi.org/10.1201/9781003441960-10

Othman, Manar M ; Voyagaki, Elia ; Crispin, Jamie J. et al. / The DINGO database of axial pile–load tests for the United Kingdom : Determination of ultimate load. Databases for Data-Centric Geotechnics: Geotechnical Structures. editor / Chong Tang ; Kok-Kwang Phoon. 1st. ed. Boca Raton : CRC Press (Taylor & Francis Group), 2025. pp. 406-449 (Challenges in Geotechnical and Rock Engineering).

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abstract = "Databases containing pile information are widely used to assess the reliability of design and performance prediction methods. The DINGO database of test piles installed in UK soils contains over 500 records collected from both literature and industry sources. This chapter details the collation of the database and details on the distribution of the test piles and previous analyses that have been undertaken. In this work, the DINGO database is used to assess the reliability and usability of eight methods for interpreting the ultimate pile capacity from filed test load–settlement information. The methods include mathematical model approaches, graphical estimations, and settlement limits. Higher ultimate loads were interpreted using the Chin method while lower ultimate loads were calculated using the DeBeer method. Finally, the average factor of safety for the pile tests used in this study was calculated to be 2.63 across all eight methods, with 26.6 and 1.05 being maximum and minimum values, respectively.",

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Othman, MM, Voyagaki, E, Crispin, JJ, Ntassiou, K, Gilder, C, De Luca, F , Mylonakis, G & Vardanega, PJ 2025, The DINGO database of axial pile–load tests for the United Kingdom: Determination of ultimate load. in C Tang & K-K Phoon (eds), Databases for Data-Centric Geotechnics: Geotechnical Structures. 1st edn, Challenges in Geotechnical and Rock Engineering, CRC Press (Taylor & Francis Group), Boca Raton, pp. 406-449. https://doi.org/10.1201/9781003441960-10

The DINGO database of axial pile–load tests for the United Kingdom: Determination of ultimate load. / Othman, Manar M ; Voyagaki, Elia; Crispin, Jamie J. et al.
Databases for Data-Centric Geotechnics: Geotechnical Structures. ed. / Chong Tang; Kok-Kwang Phoon. 1st. ed. Boca Raton: CRC Press (Taylor & Francis Group), 2025. p. 406-449 (Challenges in Geotechnical and Rock Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

TY - CHAP

T1 - The DINGO database of axial pile–load tests for the United Kingdom

T2 - Determination of ultimate load

AU - Othman, Manar M

AU - Voyagaki, Elia

AU - Crispin, Jamie J.

AU - Ntassiou, Konstantina

AU - Gilder, Charlotte

AU - De Luca, Flavia

AU - Mylonakis, George

AU - Vardanega, Paul J

PY - 2025

Y1 - 2025

N2 - Databases containing pile information are widely used to assess the reliability of design and performance prediction methods. The DINGO database of test piles installed in UK soils contains over 500 records collected from both literature and industry sources. This chapter details the collation of the database and details on the distribution of the test piles and previous analyses that have been undertaken. In this work, the DINGO database is used to assess the reliability and usability of eight methods for interpreting the ultimate pile capacity from filed test load–settlement information. The methods include mathematical model approaches, graphical estimations, and settlement limits. Higher ultimate loads were interpreted using the Chin method while lower ultimate loads were calculated using the DeBeer method. Finally, the average factor of safety for the pile tests used in this study was calculated to be 2.63 across all eight methods, with 26.6 and 1.05 being maximum and minimum values, respectively.

AB - Databases containing pile information are widely used to assess the reliability of design and performance prediction methods. The DINGO database of test piles installed in UK soils contains over 500 records collected from both literature and industry sources. This chapter details the collation of the database and details on the distribution of the test piles and previous analyses that have been undertaken. In this work, the DINGO database is used to assess the reliability and usability of eight methods for interpreting the ultimate pile capacity from filed test load–settlement information. The methods include mathematical model approaches, graphical estimations, and settlement limits. Higher ultimate loads were interpreted using the Chin method while lower ultimate loads were calculated using the DeBeer method. Finally, the average factor of safety for the pile tests used in this study was calculated to be 2.63 across all eight methods, with 26.6 and 1.05 being maximum and minimum values, respectively.

U2 - 10.1201/9781003441960-10

DO - 10.1201/9781003441960-10

M3 - Chapter in a book

SN - 9781032579108

T3 - Challenges in Geotechnical and Rock Engineering

SP - 406

EP - 449

BT - Databases for Data-Centric Geotechnics

A2 - Tang, Chong

A2 - Phoon, Kok-Kwang

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CY - Boca Raton

ER -

Othman MM, Voyagaki E, Crispin JJ, Ntassiou K, Gilder C, De Luca F et al. The DINGO database of axial pile–load tests for the United Kingdom: Determination of ultimate load. In Tang C, Phoon KK, editors, Databases for Data-Centric Geotechnics: Geotechnical Structures. 1st ed. Boca Raton: CRC Press (Taylor & Francis Group). 2025. p. 406-449. (Challenges in Geotechnical and Rock Engineering). Epub 2024 Dec 20. doi: 10.1201/9781003441960-10

The DINGO database of axial pile–load tests for the United Kingdom: Determination of ultimate load

Abstract

Publication series

Bibliographical note

Access to Document

Handle.net

Fingerprint

Research output

Preliminary study of ultimate load prediction using the DINGO database

The DINGO database of axial pile load tests for the UK: settlement prediction in fine-grained soils

DINGO: A Pile Load Test Database

Student theses

Use of Open-Access Databases to Characterise Geotechnical Parameter and Model Uncertainty.

Datasets

The DINGO Database, v1.2

The DINGO Database, v1.1 (UPDATED version available at DOI: 10.5523/bris.1jraem68g7ara21p2oi6hv4z22)

The DINGO Database, v1.0

Cite this