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Details of Grant 

EPSRC Reference: EP/P020933/1
Title: Databases to INterrogate Geotechnical Observations (DINGO)
Principal Investigator: Vardanega, Dr PJ
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Arup (Ove Arup and Partners Ltd) (UK) Atkins Fugro (UK)
Department: Civil Engineering
Organisation: University of Bristol
Scheme: First Grant - Revised 2009
Starts: 01 April 2017 Ends: 30 September 2018 Value (£): 96,550
EPSRC Research Topic Classifications:
Ground Engineering
EPSRC Industrial Sector Classifications:
Construction
Related Grants:
Panel History:
Panel DatePanel NameOutcome
09 Feb 2017 Engineering Prioritisation Panel Meeting 9 and 10 February 2017 Announced
Summary on Grant Application Form
The United Kingdom has rapidly ageing civil infrastructure. The ability to re-use deep foundation systems and construct new ones more efficiently will pave the way for considerable savings in financial and carbon resources. Geotechnical engineers frequently rely on past records and experience to design foundations. Foundation performance in the stiff deposits in the UK is difficult to estimate and is often reliant on preliminary pile tests to failure being available. If these tests are not available then very conservative design assumptions are used. This research project will provide the UK geotechnical community with an openly accessible database of pile load tests in UK soil deposits. Much of the data for the database will be sourced from the literature and consultants' records. Using the database, different models that can be used to predict pile settlement response will be compared statistically and re-calibrated. Estimates of 'reserve capacity' in UK foundation systems will also be made to search for insights into the potential for foundation re-use in future construction projects. The results of the analysis can also be used to derive improved partial factors for pile design. These can be used in new and updated codes of practice and design guides. A user friendly web-portal will be developed so that designers and researchers can rapidly access the underlying datasets in the database. This will allow others to calibrate their own models for pile behaviour.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Further Information:  
Organisation Website: http://www.bris.ac.uk