The Effect of Posterior Distribution Sampling Schemes on Probabilistic Dynamic CPTu Rate-Effect Corrections
Publication: Geo-Risk 2023
ABSTRACT
In situ dynamic cone penetration tests (CPTu) are performed to efficiently characterize near-surface marine sediments. Dynamic data require a strain-rate correction according to strain-rate model and law due to the nonlinear penetration rate of the cone probe insertion. This requires paired (i.e., closely located in space and time) quasi-static and dynamic CPTu measurements, increasing cost and reducing time efficiency of the dynamic tests. Two Bayesian methodologies for dynamic cone tip resistance correction are exploited, which make use of limited unpaired quasi-static CPTu observations acquired proximal to dynamic test’s location. Unpaired dynamic cone tip resistance profiles are fitted to discrete cosine transform functions within two different Markov chain Monte Carlo simulation processes: a transient (TMCMC) and not transient one (MCMC). Results show the effectiveness of the transient Markov chain scheme over the not transient one to predict strain-rate coefficients in agreement with those obtained from the conversion of dynamic and paired quasi-static CPTu.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Ching, J., and Wang, J. S. (2016). Application of the transitional Markov chain Monte Carlo algorithm to probabilistic site characterization. Engineering Geology, 203, 151–167. https://doi.org/10.1016/j.enggeo.2015.10.015.
Chow, S. H., O’Loughlin, C. D., White, D. J., and Randolph, M. F. (2017). An extended interpretation of the free-fall piezocone test in clay. Geotechnique, 67(12), 1090–1103. https://doi.org/10.1680/jgeot.16.P.220.
Collico, S. (2022). Optimization of marine sediments characterization via statistical analysis. Doctoral dissertation. Universitat Politecnica de Catalunya. Barcelona.
Dan, G., Sultan, N., and Savoye, B. (2007). The 1979 Nice harbour catastrophe revisited: Trigger mechanism inferred from geotechnical measurements and numerical modelling. Marine Geology, 245(1–4), 40–64. https://doi.org/10.1016/j.margeo.2007.06.011.
L’Heureux, J. S., Hansen, L., Longva, O., Emdal, A., and Grande, L. O. (2010). A multidisciplinary study of submarine landslides at the Nidelva fjord delta, Central Norway - Implications for geohazard assessment. Norsk Geologisk Tidsskrift, 90(1–2), 1–20.
Lehane, B. M., O’loughlin, C. D., Gaudin, C., and Randolph, M. F. (2009). Rate effects on penetrometer resistance in kaolin. Geotechnique, 59(1), 41–52. https://doi.org/10.1680/geot.2007.00072.
Leynaud, D., and Sultan, N. (2010). 3-D slope stability analysis: A probability approach applied to the nice slope (SE France). Marine Geology, 269(March), 89–106. https://doi.org/dx.doi.org/10.1016/j.margeo.2009.12.002.
Oppenheim, A. V., and Schafer, R. W. (1999). Discrete-timesignal processing. Upper Saddle River.
Steiner, A., Kopf, A. J., Henry, P., Stegmann, S., Apprioual, R., and Pelleau, P. (2015). Cone penetration testing to assess slope stability in the 1979 Nice landslide area (Ligurian Margin, SE France). Marine Geology, 369(November), 162–181. https://doi.org/10.1016/j.margeo.2015.08.008.
Stoll, R. D., Sun, Y. F., and Bitte, I. (2007). Seafloor properties from penetrometer tests. IEEE Journal of Oceanic Engineering, 32(1), 57–63. https://doi.org/10.1109/JOE.2007.890943.
Sultan, N., Savoye, B., Jouet, G., Leynaud, D., Cochonat, P., Henry, P., Stegmann, S., and Kopf, A. (2010). Investigation of a possible submarine landslide at the Var delta front (Nice continental slope, southeast France). Canadian Geotechnical Journal, 47(4), 486–496.
Wang, Y., and Cao, Z. (2013). Probabilistic characterization of Young’s modulus of soil using equivalent samples. Engineering Geology, 159, 106–118. https://doi.org/10.1016/j.enggeo.2013.03.017.
Zhang, J., Tang, W. H., Zhang, L. M., and Huang, H. W. (2012). Characterising geotechnical model uncertainty by hybrid Markov Chain Monte Carlo simulation. Computers and Geotechnics, 43, 26–36. https://doi.org/10.1016/j.compgeo.2012.02.002.
Information & Authors
Information
Published In
History
Published online: Jul 20, 2023
ASCE Technical Topics:
- Continuum mechanics
- Dynamic tests
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Field tests
- Geotechnical engineering
- Geotechnical investigation
- Laboratory tests
- Markov process
- Material mechanics
- Materials engineering
- Mathematics
- Penetration tests
- Probability
- Solid mechanics
- Statics (mechanics)
- Stochastic processes
- Strain
- Strain rates
- Tests (by type)
- Transient response
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.