GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Canadian Science Publishing  (1)
  • 2020-2024  (1)
Material
Publisher
  • Canadian Science Publishing  (1)
Language
Years
  • 2020-2024  (1)
Year
  • 1
    Online Resource
    Online Resource
    Canadian Science Publishing ; 2023
    In:  Canadian Geotechnical Journal Vol. 60, No. 5 ( 2023-05-01), p. 669-686
    In: Canadian Geotechnical Journal, Canadian Science Publishing, Vol. 60, No. 5 ( 2023-05-01), p. 669-686
    Abstract: Dynamic Cone Penetration Test (CPTu) profile offshore sediments by impact penetration. To exploit their results in full, the measured data are converted to obtain a quasi-static equivalent profile. Dynamic CPTu conversion requires calibrated correction models. Calibration is currently done by using paired (i.e., very close) quasi-static and dynamic tests. It is shown here that paired test data, which may be inconvenient to acquire offshore, are not strictly necessary to convert dynamic CPTu data. A new probabilistic methodology is proposed to call upon quasi-static results from a much wider area in the conversion procedure. Those results feed the prior distribution of a converted profile, within a Bayesian updating scheme where strain-rate coefficient and correction model error are also described by updated stochastic variables. The updating scheme is solved numerically using the Transitional Markov Chain Monte Carlo sampling algorithm. To avoid undue influence of local profile heterogeneity, the statistic treatment of the quasi-static CPTu data takes place in the frequency domain, using a discrete cosine transform. The new procedure is applied to a CPTu campaign offshore Nice (France): dynamic tests are converted with equal precision using quasi-static data acquired at distances orders of magnitude larger than what was previously employed.
    Type of Medium: Online Resource
    ISSN: 0008-3674 , 1208-6010
    Language: English
    Publisher: Canadian Science Publishing
    Publication Date: 2023
    detail.hit.zdb_id: 1482247-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...