@inproceedings{fe0cb01906454f0c9fc6d2b9db679eba,
title = "Spatial Distribution Simulation of SPT-N Values",
abstract = "In this study, the derivation of semivariance function from a given database is first performed. After the semivariance function is determined, Krigging technique is employed with the semivariance function to simulate the distribution of SPT-N values in the construction site. The values of true data points and the estimated values were compared by Simple Krigging technique. Analysis results have shown that from Simple Krigging, the simulation can yield good results for the SPT-N values that are less than 30 blows. Finally, the simulation of SPT-N values across the whole construction site was also conducted to examine the distribution of SPT-N values. Spatial variability analysis with Krigging technique provided a means to estimate the required value and the contour map could be employed for further cost analysis regarding soil improvement methods or selections of foundation types.",
author = "Huang, {Wen Chao} and Yang, {Shih Hung}",
note = "Publisher Copyright: {\textcopyright} 2014 American Society of Civil Engineers.; 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 ; Conference date: 13-07-2014 Through 16-07-2014",
year = "2014",
doi = "10.1061/9780784413609.241",
language = "???core.languages.en_GB???",
series = "Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "2399--2408",
editor = "Hall, {Jim W.} and Siu-Kui Au and Michael Beer",
booktitle = "Vulnerability, Uncertainty, and Risk",
}