English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Modelling the spatial variability of soil properties is very much essential in establishing the engineering parameters for the design and construction of geotechnical structures and facilities. The Standard Penetration Test (SPT) ‘N’ value of a location is widely used to determine the engineering properties of the soils through empirical correlations. In this study, a 3D site characterisation model is developed using ordinary and simple kriging with an objective of evaluating the spatial variability of corrected SPT ‘N’ (Ncorrected) values in the subsurface of Chennai City. The alternative kriging approach using product-sum covariance model is implemented to model the SPT Ncorrectedvalues in an anisotropic environment. The estimated SPT Ncorrectedvalues are compared with the actual borehole data at selected locations. It is noted that the ordinary kriging has given more accurate estimates closer to the actual SPT Ncorrectedvalues than the simple kriging. The estimated SPT Ncorrectedvalues in the 3D subsurface environment will help in better interpretation of the subsurface information, making informed decisions with regard to future developmental activities and effective management of the urban centres of the Chennai City.

Modelling the spatial variability of Standard Penetration Test data for Chennai City using kriging and product-sum model