Spatial variability of SPT data using ordinary and disjunctive kriging
The purpose of this study is to develop a geostastistical model based on ordinaryand disjunctive kriging technique to estimate spatial variability of SPT (N) data in the threedimensional subsurface of Bangalore. The database consists of 766 boreholes spread over a 220 sqkm area, with several N values in each of them. The analysis has been done for corrected SPT(Nc) value. Ordinary kriging produces linear estimator whereas, disjunctive kriging producesnonlinear estimator. The knowledge of the semivariogram of the SPT data is used in the krigingtheory to estimate the values at points in the subsurface of Bangalore where field measurementsare not available. The capability of disjunctive kriging to be a nonlinear estimator and anestimator of the conditional probability is explored. A cross validation (Q1 and Q2) analysis isalso done for the developed ordinary and disjunctive kriging model. For the data sets used in thisstudy, disjunctive kriging has shown to be a better estimator than ordinary kriging in terms ofreduced kriging variance and the comparison between an estimated and actual value.
Pijush Samui T.G.Sitharam
Department of Civil Engineering, Indian institute of Science, India
国际会议
上海
英文
2007-10-18（万方平台首次上网日期，不代表论文的发表时间）