A probabilistic Bayesian methodology for the strain-rate correction of dynamic CPTu data

A probabilistic Bayesian methodology for the strain-rate correction of dynamic CPTu data

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...

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Bibliographic Details
Main Authors: Arroyo, M. (Author), Collico, S. (Author), Devincenzi, M. (Author), Kopf, A. (Author)
Format: Article
Language:English
Published: Canadian Science Publishing 2023
Subjects:
cone tip resistance
Cone tip resistance
Data handling
Discrete cosine transforms
dynamic CPTu
Dynamic CPTu
Frequency domain analysis
Markov chain Monte Carlo
Markov Chain Monte-Carlo
Markov processes
Monte Carlo methods
Nice
Offshore oil well production
Quasi-static
Rate coefficients
Stochastic models
Stochastic systems
Strain rate
strain-rate coefficient
Strain-rate coefficient
Strain-rates
Transitional markov chain monte carlo
Transitional Markov Chain Monte Carlo
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