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The DINGO Database: Summary Report

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The DINGO Database: Summary Report The DINGO Database: Summary Report by Paul J Vardanega, Elia Voyagaki, Jamie J Crispin, Charlotte E L Gilder & Konstantina Ntassiou Department of Civil Engineering, University of Bristol April 2021 (version 1.1) Suggested citation: Vardanega P.J., Voyagaki E., Crispin J.J., Gilder C.E.L. and Ntassiou K. (2021) The DINGO Database: Summary Report: April 2021, v1.1. University of Bristol, Bristol, UK, https://doi.org/10.5523/bris.89r3npvewel2ea8ttb67ku4d Disclaimer: The opinions, findings, and conclusions or recommendations expressed in this report are those of the authors and do not necessarily reflect the views of the study sponsor(s), project partner(s), data contributor(s) or the University of Bristol. This report and accompanying database do not constitute a design standard or code of practice. This report is for information purposes only and should not be relied upon for any specific purpose. To report any errors in the database please email: [email protected] Released under the CC-BY 4.0 Licence (https://creativecommons.org/licenses/by/4.0/) The DINGO Database: Summary Report by Paul J Vardanega, Elia Voyagaki, Jamie J Crispin, Charlotte E L Gilder & Konstantina Ntassiou Department of Civil Engineering, University of Bristol April 2021 (version 1.1) i Abstract This report outlines the 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. The database file structure is inspired by the AGS data format (Association of Geotechnical and Geoenvironmental Engineering Specialists). The report is arranged in five main parts: (1) In the first section the background and rationale of the project is explained in detail; (2) In the second section the methodology and tools used by the research team to build the database are explained; (3) In the third section the database structure is shown and commentary is given for those wishing to download some or all of the information contained in the DINGO database; (4) In this section preliminary analysis of the collected data is represented on a series of maps, drawn using a geographical information system (GIS), which show the following subsets: (a) construction era; (b) pile foundation typology; (c) geological deposit and soil characteristics; (5) The report concludes with a summary as well as a series of appendices and references that in part explain the structure, arrangement and origin of the information in the DINGO database. The database has been uploaded to the data.bris Research Data Repository at the University of Bristol, and has been released online (https://doi.org/10.5523/bris.89r3npvewel2ea8ttb67ku4d) for use by the community under the CC-BY 4.0 Licence (https://creativecommons.org/licenses/by/4.0/) ii Changelog June 2019 – Version 1.0 • Database published. • Available at https://doi.org/10.5523/bris.3r14qbdhv648b2p83gjqby2fl8 April 2021 – Version 1.1 • Minor revision with error corrections. • Updated publications list (Section 1.2). • Geology codes updated for sites D07_04 and R27. • Site D07_04 moved to COH geology category. • Site R42 moved from COH to GRA geology category. • Site R22 moved from CFA to MISC construction category. • Figures for COH (Fig. 7), GRA (Fig. 8), CFA (Fig. 12) and MISC (Fig 13) categories updated. • Table 8 updated with new counts for categories. • SITES table updated. Changes included in Table 4 and Table I_1. • PILES table updated. Changes included in Tables I_2, III_1-6, IV_1-5 and V_1-8. • Other minor fixes to data files. • Available at https://doi.org/10.5523/bris.89r3npvewel2ea8ttb67ku4d iii Acknowledgements The authors would like to thank and acknowledge the support received throughout the project. The first author and principal investigator acknowledges the support received from the Engineering and Physical Sciences Research Council (EPSRC) grant EP/P020933/1: Databases to INterrogate Geotechnical Observations (DINGO). The generous in-kind support received from the project partners: Arup Group (Ltd), Atkins Global (UK) and Fugro (UK) is also gratefully acknowledged. The principal investigator also acknowledges the financial support for this project received from the School of Civil, Aerospace and Mechanical Engineering (CAME) and the Earthquake and Geotechnical Engineering Research Group at the University of Bristol. The doctoral studies of the third and fourth authors were supported by the Engineering and Physical Sciences Research Council, Grant Numbers: EP/N509619/1 and EP/R51245X/1, respectively. The authors wish to thank the many people who have assisted with making the project possible. In particular: • We are grateful to Dr Nick O’Riordan, of Arup, for sharing data on HS1 as well as his valuable support throughout the project. • We are grateful to Paul Nowak, of Atkins, for sharing data from the A14 Cambridge to Huntingdon Improvement Scheme, as well as for his valuable support throughout the project. • We are grateful to Dr Melvin England, of Fugro, for his valuable support throughout the project. The following data contributors are also acknowledged: • We are grateful to Sergio Solera, of Mott Macdonald, for sharing load test data from bored and CFA piles terminating in sands and gravels. • We are grateful to Dr Tarek Sadek, of Arup, for sharing data from the Defence and National Rehabilitation Centre (DNRC) at Stanford Hall, and the City of Manchester Stadium. • We are grateful to Malcolm Woodruff for sharing data from the Isle of Wight. iv • We are grateful to Mark Shaw, of Highways England, for facilitating access to the HAGDMS database. Special thanks also go to Dinesh Patel, of Arup; Katya Zabelina, of Jacobs; Paul Cheesman, of Fugro and Garry Baker and Claire Shelley, from the British Geological Society, for helpful advice and comments. The authors are particularly thankful to Dr Kirsty Merrett, Library Services and Richard Abraham, IT Services, of the University of Bristol, for their valuable help organising the dissemination of the database. Finally, the support of Professor George Mylonakis, Head of the Earthquake and Geotechnical Engineering Research group at the University of Bristol, for sharing expertise on the non-linear analysis of piles and for the research group’s financial support to the project, is greatly acknowledged and most appreciated. v Contents Abstract ii Changelog iii Acknowledgements iv Contents vi List of Tables vii List of Figures viii 1. Introduction 1 1.1 Project background 1 1.2 Supporting publications 2 1.3 Report outline 3 1.4 DINGO Database 3 2. Building the database 4 2.1 Data sources 4 2.2 Digitisation of data 5 2.3 Issues arising during database building 5 2.4 Data visualisation 8 2.5 Summary of DINGO sites 9 3. Structure of the database 21 4. Data presentation 24 4.1 Categorisation by geological criteria 24 4.2 Categorisation by pile type 25 4.3 Categorisation by decade of construction 26 5. Summary 69 Report References 70 Appendix I: Database notation 75 Appendix II: Summary of sites and piles 77 Appendix III: Pile test data records by geology 98 Appendix IV: Pile test data records by pile type 120 Appendix V: Pile test data records by decade 138 Appendix VI: DINGO Database References 158 vi List of Tables Table 1. Classification of the literature data. 4 Table 2. Geology codes used in the DINGO Database. 5 Table 3. Secondary geology codes used in the DINGO Database. 6 Table 4. Locations and summary of test sites in the DINGO Database. 10 Table 5. Database spreadsheet format. 21 Table 6. A typical example of the geology ‘GEOL’ subcategory included in 22 the DINGO Database. Table 7. A typical example of the pile test ‘PLTS’ subcategory included in 23 the DINGO Database. Table 8. Distribution of the DINGO Database pile test in the main 24 subcategories. Table I_1. DINGO Database table identifiers 75 Table II_1. Summary statistics of sites included in the DINGO Database. 77 Table II_2. List of all piles included in the DINGO Database. 83 Table III_1. Pile test data records in the London Basin. 98 Table III_2. Pile test data records in Mercia Mudstone. 103 Table III_3. Pile test data records in Chalk. 105 Table III_4. Pile test data records in Superficial deposits. 107 Table III_5. Pile test data records primarily in Cohesive deposits. 110 Table III_6. Pile test data records primarily in Granular deposits. 118 Table IV_1. Pile test data records for Bored piles. 120 Table IV_2. Pile test data records for Driven, Concrete piles. 128 Table IV_3. Pile test data records for Driven, Steel piles. 131 Table IV_4. Pile test data records for CFA piles. 133 Table IV_5. Pile test data records for Miscellaneous piles. 136 TableV_1. Pile test data records from the 1940s 138 TableV_2. Pile test data records from the 1950s 139 TableV_3. Pile test data records from the 1960s 141 TableV_4. Pile test data records from the 1970s 144 TableV_5. Pile test data records from the 1980s 149 TableV_6. Pile test data records from the 1990s 151 TableV_7. Pile test data records from the 2000s 154 TableV_8. Pile test data records from the 2010s 156 vii List of Figures Figure 1. Summary GIS map showing the distribution of DINGO Database 27 tests across the UK. Figure 2. GIS Geology map showing distribution of the DINGO Database 29 tests in the UK. Figure 3. GIS Geology map showing locations of DINGO Database tests in 31 London Basin. Figure 4. GIS Geology map showing locations of DINGO Database tests in 33 Mercia Mudstone. Figure 5. GIS Geology map showing locations of DINGO Database tests in 35 Chalk.
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