Imperial College London

ProfessorRichardJardine

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Proconsul and Professor of Geomechanics
 
 
 
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Contact

 

+44 (0)20 7594 6083r.jardine CV

 
 
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Assistant

 

Ms Sue Feller +44 (0)20 7594 6077

 
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Location

 

532Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Burd:2020:10.1680/jgeot.18.PISA.002,
author = {Burd, HJ and Beuckelaers, WJAP and Byrne, BW and Gavin, K and Houlsby, GT and Igoe, D and Jardine, RJ and Martin, CM and McAdam, RA and Muir, Wood A and Potts, DM and Skov, Gretlund J and Taborda, DMG and Zdravkovic, L},
doi = {10.1680/jgeot.18.PISA.002},
journal = {Géotechnique},
pages = {961--969},
title = {New data analysis methods for instrumented medium scale monopile field tests},
url = {http://dx.doi.org/10.1680/jgeot.18.PISA.002},
volume = {70},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The PISA Joint Industry Research Project was concerned with the development of improved design methods for monopile foundations in offshore wind applications. PISA involved large-scale pile tests in overconsolidated glacial till at Cowden, north-east England, and in dense, normally consolidated marine sand at Dunkirk, northern France. This paper describes the experimental set-up for pile testing, with unique features of load-application mechanisms and built-in fibre optic strain gauges. New procedures are described for the interpretation of pile loading data, and specifically for providing precise interpretation of pile displacements.
AU - Burd,HJ
AU - Beuckelaers,WJAP
AU - Byrne,BW
AU - Gavin,K
AU - Houlsby,GT
AU - Igoe,D
AU - Jardine,RJ
AU - Martin,CM
AU - McAdam,RA
AU - Muir,Wood A
AU - Potts,DM
AU - Skov,Gretlund J
AU - Taborda,DMG
AU - Zdravkovic,L
DO - 10.1680/jgeot.18.PISA.002
EP - 969
PY - 2020///
SN - 0016-8505
SP - 961
TI - New data analysis methods for instrumented medium scale monopile field tests
T2 - Géotechnique
UR - http://dx.doi.org/10.1680/jgeot.18.PISA.002
UR - https://www.icevirtuallibrary.com/doi/abs/10.1680/jgeot.18.pisa.002
UR - http://hdl.handle.net/10044/1/64826
VL - 70
ER -