Generation and Evaluation of CPT Data Using Kriging Interpolation Technique

The cone penetration test (CPT) has been the de facto field exploration method in geotechnical engineering for decades. Variations of CPT can measure parameters for seismic, environmental, and hydrological applications. Analyzing response often requires properties in areas that have little or no dat...

Full description

Saved in:
Bibliographic Details
Published inPeriodica polytechnica. Civil engineering. Bauingenieurwesen Vol. 67; no. 2; p. 545
Main Authors Chala, Ayele, Ray, Richard
Format Journal Article
LanguageEnglish
Published Budapest Periodica Polytechnica, Budapest University of Technology and Economics 01.01.2023
Subjects
Acceleration
Analysis
Civil engineering
Cone penetration tests
Datasets
Engineers
Geostatistics
Geotechnical engineering
Hydrology
Kriging interpolation
Kurtosis
Parameters
Performance evaluation
Profiles
Response analysis
S waves
Seismic velocities
Shear
Shear wave velocities
Soil properties
Soils
Statistical methods
Velocity
Velocity distribution
Velocity profiles
Wave velocity
Online AccessGet full text

Cover

More Information
Summary:The cone penetration test (CPT) has been the de facto field exploration method in geotechnical engineering for decades. Variations of CPT can measure parameters for seismic, environmental, and hydrological applications. Analyzing response often requires properties in areas that have little or no data. Therefore, given the limited CPT data, it is critical to understand how to accurately estimate the soil properties at unsampled locations. In this paper, we generated soil shear wave velocity profiles using the kriging interpolation technique and assessed their performance using site response analysis. Four kriging interpolation-based shear wave velocity profiles and four additional CPT-based shear wave velocity profiles defined site conditions for response analysis. We performed a series of 1-D equivalent linear site response analyses using STRATA software. The site response analysis results are presented as amplification factors (AF), peak ground acceleration (PGA) profiles, surface spectral acceleration, and surface acceleration time histories. Compared to CPT-based profiles, the results of kriging interpolation-based profiles were evaluated and discussed. The results confirmed the reliability of the kriging interpolation technique in predicting soil parameters at unsampled locations.
ISSN:0553-6626
1587-3773
DOI:10.3311/PPci.21865