Natural Hazards

, Volume 86, Issue 3, pp 1291–1306 | Cite as

Empirical correlation of SPT blow counts versus shear wave velocity for different types of soils in Dholera, Western India

  • Sarda Thokchom
  • B. K. Rastogi
  • N. N. Dogra
  • Vasu Pancholi
  • B. Sairam
  • Falguni Bhattacharya
  • Vandana Patel
Original Paper


In the present study, a set of correlation relations between standard penetrations tests (SPT-N values) and shear wave velocity (Vs) for different categories of soils is developed for Dholera region, Gujarat state, Western India. Shear wave velocities were measured using multichannel analysis of surface wave (MASW at 42 sites) and by PS logging (at 16 sites). SPT-N values were taken in total 87 geotechnical boreholes at depth interval of 3 m. Seismic site classification is done as per National Earthquake Hazards Reduction Program of the USA. Total 336 pairs of SPT-N values and Vs data at different depths are used to develop the regression correlation between uncorrected SPT-N value and Vs and compared with the results of other workers from India and worldwide for all soils type. It is found that regression correlations developed for clay and all soils are almost similar to each other, for sand, the coefficient value is less and for silt, it is higher. The new regression equation gives good prediction performance. The present correlation can be used for the seismic hazard study for the study area and also for the other areas having similar soil strata using a process of validation.


Shear wave velocity Dynamic properties of soil Geophysical testing Standard penetrations tests Multichannel analysis of surface wave Regression correlation 



We are thankful to Mr. Fumio Kaneko of Oyo International Corporation for guiding this work and preparing some of the figures. Authors are grateful to Dr. M. Ravi Kumar, Director General, ISR for permission to publish the work and Dr. Sumer Chopra, Director for his support. The study was funded by Gujarat Infrastructure Development Board and GICCL.


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Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  1. 1.Institute of Seismological ResearchGandhinagarIndia
  2. 2.Department of Applied GeologyKurukshetra UniversityKurukshetraIndia

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