Preliminary study of ultimate load prediction using the DINGO database

Manar M A Othman; Elia Voyagaki; Flavia De Luca; George Mylonakis; Paul J Vardanega; Jamie Crispin

doi:10.1201/9781003299127-220

Preliminary study of ultimate load prediction using the DINGO database

Manar M A Othman^*, Elia Voyagaki, Flavia De Luca, George Mylonakis, Paul J Vardanega, Jamie Crispin

^*Corresponding author for this work

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

1 Citation (Scopus)

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Abstract

Chin’s analysis method can be employed to interpret the ultimate capacity of pile load tests. Using maintained pile load test data from the DINGO database, consisting of axial compressive loading, the performance of Chin’s method was investigated for piles in various UK soil deposits. It is shown that Chin’s method tends to be unconservative when predicting ultimate pile capacity regardless of how ‘failure’ is defined (e.g. head settlement over 10% of pile diameter). The results are compared with test data from Ireland where similar trends were observed.

Original language	English
Title of host publication	Smart Geotechnics for Smart Societies
Subtitle of host publication	Proceedings of the 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering (17ARC), Astana, Kazakhstan, 14-18 August 2023
Editors	Askar Zhussupbekov, Assel Sarsembayeva, Victor N. Kaliakin
Place of Publication	London
Publisher	CRC Press/Balkema, Taylor & Francis Group
Pages	1487-1492
Number of pages	6
ISBN (Electronic)	9781003299127
DOIs	https://doi.org/10.1201/9781003299127-220
Publication status	Published - 4 Aug 2023
Event	17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering - Astana, Kazakhstan Duration: 14 Aug 2023 → 18 Aug 2023

Conference

Conference	17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering
Abbreviated title	17ARC
Country/Territory	Kazakhstan
City	Astana
Period	14/08/23 → 18/08/23

Bibliographical note

Publisher Copyright:
© 2023 selection and editorial matter, Askar Zhussupbekov, Assel Sarsembayeva & Victor N. Kaliakin; individual chapters, the contributors.

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Othman, M. M. A., Voyagaki, E., De Luca, F., Mylonakis, G., Vardanega, P. J., & Crispin, J. (2023). Preliminary study of ultimate load prediction using the DINGO database. In A. Zhussupbekov, A. Sarsembayeva, & V. N. Kaliakin (Eds.), 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 (pp. 1487-1492). CRC Press/Balkema, Taylor & Francis Group. https://doi.org/10.1201/9781003299127-220

Othman, Manar M A ; Voyagaki, Elia ; De Luca, Flavia et al. / Preliminary study of ultimate load prediction using the DINGO database. 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. editor / Askar Zhussupbekov ; Assel Sarsembayeva ; Victor N. Kaliakin. London : CRC Press/Balkema, Taylor & Francis Group, 2023. pp. 1487-1492

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title = "Preliminary study of ultimate load prediction using the DINGO database",

abstract = "Chin{\textquoteright}s analysis method can be employed to interpret the ultimate capacity of pile load tests. Using maintained pile load test data from the DINGO database, consisting of axial compressive loading, the performance of Chin{\textquoteright}s method was investigated for piles in various UK soil deposits. It is shown that Chin{\textquoteright}s method tends to be unconservative when predicting ultimate pile capacity regardless of how {\textquoteleft}failure{\textquoteright} is defined (e.g. head settlement over 10% of pile diameter). The results are compared with test data from Ireland where similar trends were observed.",

author = "Othman, {Manar M A} and Elia Voyagaki and {De Luca}, Flavia and George Mylonakis and Vardanega, {Paul J} and Jamie Crispin",

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Othman, MMA, Voyagaki, E , De Luca, F , Mylonakis, G , Vardanega, PJ & Crispin, J 2023, Preliminary study of ultimate load prediction using the DINGO database. in A Zhussupbekov, A Sarsembayeva & VN Kaliakin (eds), 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. CRC Press/Balkema, Taylor & Francis Group, London, pp. 1487-1492, 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering , Astana, Kazakhstan, 14/08/23. https://doi.org/10.1201/9781003299127-220

Preliminary study of ultimate load prediction using the DINGO database. / Othman, Manar M A; Voyagaki, Elia ; De Luca, Flavia et al.
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. ed. / Askar Zhussupbekov; Assel Sarsembayeva; Victor N. Kaliakin. London: CRC Press/Balkema, Taylor & Francis Group, 2023. p. 1487-1492.

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

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AB - Chin’s analysis method can be employed to interpret the ultimate capacity of pile load tests. Using maintained pile load test data from the DINGO database, consisting of axial compressive loading, the performance of Chin’s method was investigated for piles in various UK soil deposits. It is shown that Chin’s method tends to be unconservative when predicting ultimate pile capacity regardless of how ‘failure’ is defined (e.g. head settlement over 10% of pile diameter). The results are compared with test data from Ireland where similar trends were observed.

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Othman MMA, Voyagaki E , De Luca F , Mylonakis G , Vardanega PJ, Crispin J. Preliminary study of ultimate load prediction using the DINGO database. In Zhussupbekov A, Sarsembayeva A, Kaliakin VN, editors, 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. London: CRC Press/Balkema, Taylor & Francis Group. 2023. p. 1487-1492 doi: 10.1201/9781003299127-220

Preliminary study of ultimate load prediction using the DINGO database

Abstract

Conference

Bibliographical note

Access to Document

Handle.net

Other files and links

Fingerprint

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

DINGO: A Pile Load Test Database

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

Cite this

Preliminary study of ultimate load prediction using the DINGO database

Abstract

Conference

Bibliographical note

Access to Document

Handle.net

Other files and links

Fingerprint

Research output

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

DINGO: A Pile Load Test Database

Datasets

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

Cite this