Identification of Horizontal Auto-Correlation Parameters Using Inclined Cone Penetration Tests—Preliminary Results
Part Of
Geotechnical Special Publication
Journal Volume
2023-July
Journal Volume
2023-July
Journal Issue
GSP 347
Journal Issue
GSP 347
Start Page
139
End Page
144
ISSN
08950563
ISBN (of the container)
9780784484968
9780784484975
9780784484982
9780784484999
ISBN
9780784484968
9780784484975
9780784484982
9780784484999
Date Issued
2023
Author(s)
Tan, Yong-Keng
Abstract
Due to their dense sampling interval, cone penetration tests (CPTs) are useful for the purpose of identifying the auto-correlation structure of soil spatial variability. However, only the vertical auto-correlation structure can be effectively identified because CPTs are conventionally conducted in the vertical direction. The identification of the horizontal auto-correlation structure cannot be effectively achieved by conventional CPTs. In the literature, very limited horizontal CPTs were conducted by researchers, but they are seldom conducted in practice probably due to its high cost and technical difficulty. Inclined CPTs are more feasible than horizontal CPTs. The purpose of the current paper is to investigate the possibility of adopting inclined CPTs to identify the horizontal auto-correlation structure of soil variability by numerical examples. A two-dimensional random field is used to generate synthetic CPTs data. The feasibility of identifying the horizontal auto-correlation parameters is then investigated by analyzing the synthetic data from inclined CPTs. The preliminary results obtained by the current paper may be useful for our future work in this line of research.
Event(s)
Geo-Risk Conference 2023: Advances in Modeling Uncertainty and Variability, 23 July 2023 - 26 July 2023, Arlington
SDGs
Publisher
American Society of Civil Engineers (ASCE)
Type
conference paper