A probabilistic tool for geotechnical assessment of Jack-Up leg penetration
conference paper
Prediction of jack-up leg penetration behaviour requires assessment of uncertainties in calculation models and their input parameter values, including quality and extent of site investigation information. Commonly, uncertainty assessment is achieved by sensitivity analysis. This publication presents a probabilistic tool (JURIG4) for more rigorous prediction of jack-up leg penetration behaviour, as an add-on for conventional SNAME (2002) calculation methods. JURIG4 allows systematic input of expected variability of the important input parameters: (1) soil layer thickness, (2) trends in clay strength versus depth, (3) angle of internal friction of sand, (4) submerged unit weight and (5) lateral continuity of soil characteristics. Probabilistic calculations are performed by Monte Carlo simulation. Important output consists of probability of punch-through failure for any of the legs, as a function of distance between the geotechnical borehole and the leg. Probability density functions are provided for leg penetration and leg plunge in case of punch-through conditions.
TNO Identifier
331363
Publisher
The Royal Geographical Society
Source title
Proceedings of the 6th Offshore Site Investigation and Geotechnics Conference, London 2007
Place of publication
London
Pages
1-14
Files
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