Research output per year
Research output per year
Description
This is a database of pile load test information that has been built as part of the Engineering and Physical Sciences Research Council (EPSRC) funded project EP/P020933/1: Databases to INterrogate Geotechnical Observations (DINGO) which ran between 1 July 2017 and 9 June 2019.
The database is populated with data digitised from the literature as well as datasets supplied by contributors from the geotechnical engineering industry in the United Kingdom. Contributors have agreed in writing for their data to be shared via the DINGO Database and are cited as personal communication.
v1.1 is a minor revision of v1.0 with some error corrections. v1.0 can be found at https://doi.org/10.5523/bris.3r14qbdhv648b2p83gjqby2fl8.
N.b. these data have been superseded by The DINGO Database, v1.2 (https://doi.org/10.5523/bris.1jraem68g7ara21p2oi6hv4z22).
The database is populated with data digitised from the literature as well as datasets supplied by contributors from the geotechnical engineering industry in the United Kingdom. Contributors have agreed in writing for their data to be shared via the DINGO Database and are cited as personal communication.
v1.1 is a minor revision of v1.0 with some error corrections. v1.0 can be found at https://doi.org/10.5523/bris.3r14qbdhv648b2p83gjqby2fl8.
N.b. these data have been superseded by The DINGO Database, v1.2 (https://doi.org/10.5523/bris.1jraem68g7ara21p2oi6hv4z22).
| Date made available | 23 Apr 2021 |
|---|---|
| Publisher | University of Bristol |
Keywords
- Foundation Engineering
- Pile Load Tests
- Ground Investigation Data
- Piling
- Database
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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 AccessFile1 Citation (Scopus)93 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 AccessFile10 Citations (Scopus)215 Downloads (Pure)
Student theses
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Geotechnical data curation and a geostatistical multivariate framework for Vs prediction in data scarce contexts
Gilder, C. (Author), Vardanega, P. J. (Supervisor) & Holcombe, E. A. (Supervisor), 25 Jan 2022Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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Static and Dynamic Analysis of Piles in Inhomogeneous Soil
Crispin, J. J. (Author), Mylonakis, G. (Supervisor) & Vardanega, P. J. (Supervisor), 25 Jan 2022Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
File
Datasets
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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