ABSTRACT
Data collected from soil investigation techniques, including standard penetration test, cone penetration test, and shear wave velocity measurement, are often used for liquefaction potential assessment. The spatial variation of soil properties is challenging to be quantified through limited data collected from standard penetration test. The data collected from a newly developed in-situ investigation technique, namely intelligent piezo drive cone, was adopted to determine their scale of fluctuation in this study. They were calculated by the method of moments and the Bayesian method with various autocorrelation models. The results show that the Bayesian method with the Whittle-Matérn model can effectively reduce the uncertainty of soil spatial variability. It also improves the accuracy of the scale of fluctuation to reflect the actual state of the data.
