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A cone penetration test (CPT) approach to cable plough performance prediction based upon centrifuge model testing

Robinson, S.; Brown, M.; Matsui, H.; Brennan, A.; Augarde, C.E.; Coombs, W.M.; Cortis, M.

A cone penetration test (CPT) approach to cable plough performance prediction based upon centrifuge model testing Thumbnail


Authors

S. Robinson

M. Brown

H. Matsui

A. Brennan

M. Cortis



Abstract

Cable ploughing is an important technique for burying and protecting offshore cables. The ability to predict the required tow force and plough performance is essential to allow vessel selection and project programming. Existing tow force models require calibration against full-scale field testing to determine empirical parameters, which may hinder their use. In this study the factors controlling the plough resistance were investigated using a series of dry and saturated 1/50<sup>th</sup> scale model cable plough tests in sand in a geotechnical centrifuge at 50g at a range of target trench depths, sand relative densities and plough velocities. An improved model for predicting cable plough tow force which separates out the key components of resistance and allows tow force prediction without the use of field-derived empirical coefficients is presented. It is demonstrated that the key parameters in this model can be easily determined from in-situ Cone Penetration Testing (CPT), allowing it to be used offshore where site investigation techniques may be more limited compared to onshore locations. The model is validated against the centrifuge cable plough tests, demonstrating it can correctly predict both the static (dry) and rate effect (saturated) tow forces.

Citation

Robinson, S., Brown, M., Matsui, H., Brennan, A., Augarde, C., Coombs, W., & Cortis, M. (2021). A cone penetration test (CPT) approach to cable plough performance prediction based upon centrifuge model testing. Canadian Geotechnical Journal, 58(10), 1466-1477. https://doi.org/10.1139/cgj-2020-0366

Journal Article Type Article
Acceptance Date Nov 18, 2020
Online Publication Date Nov 23, 2020
Publication Date 2021-10
Deposit Date Nov 18, 2020
Publicly Available Date Nov 19, 2020
Journal Canadian Geotechnical Journal
Print ISSN 0008-3674
Electronic ISSN 1208-6010
Publisher Canadian Science Publishing
Peer Reviewed Peer Reviewed
Volume 58
Issue 10
Pages 1466-1477
DOI https://doi.org/10.1139/cgj-2020-0366

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