Development of Optimal Geostatistical Model for Geotechnical Applications

J, Rojimol (2013) Development of Optimal Geostatistical Model for Geotechnical Applications. Masters thesis, Indian Institute of Technology.

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Abstract

Evaluation and application of various geo-statistical interpolation techniques (including deterministic and probabilistic methods) to site characterization has received much attention in the recent years (Rouhani 1996, Fenton 1997, Asa et al 2012). However, the existing geo-statistical tools in their original form lack several inbuilt functionalities including hypothesis based normality check for the data; positional outlier separation; automated selection of base variogram and optimal kriging model; and elimination of negative kriging weights. This research addresses these issues, and aims at developing a generalized, public domain, open source and optimal linear geo-statistical model using MATLAB environment that best fits a given set of site specific parameters. The measured data at the random borehole locations were analyzed, and used to generate the prediction and error surfaces of the site parameters at user specified intervals. Normality of the data was statistically tested using Kolmogorov‐Smirnov test at 5 and 10% significance levels. Positional outliers that may adversely affect the simulation were discarded from the analysis using the concept of point density. The best semi-variogram with optimum searching neighbourhood was automated using residual statistics. Negative kriging weights given at the known data locations were successively eliminated in the algorithm. A graphical user interface (GUI) in MATLAB for use with site managers / construction engineers of a region was developed in this work

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