A generalized VS–N correlation using various regression analysis and genetic algorithm

• Published in: Acta geodaetica et geophysica Vol. 53; no. 3; pp. 479 - 502
• Main Authors: Shiuly, Amit, Roy, Narayan
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.09.2018; Springer Nature B.V
• Subjects: Buildings; Chi-square test; Confidence intervals; Correlation; Correlation analysis; Displacement; Earth and Environmental Science; Earth Sciences; Earthquake engineering; Earthquakes; Genetic algorithms; Genetic analysis; Geophysics/Geodesy; Ground motion; Nonlinear analysis; Original Study; Penetration resistance; Procedures; Regression analysis; Response analysis; S waves; Seismic activity; Seismic engineering; Seismic velocities; Sensitivity analysis; Shear; Shear wave velocities; Soil; Soils; Spectra; Statistical analysis; Tidal bores; Velocity; Wave velocity; Genetic algorithm; 1D ground response analysis; Regression; Chi square test; Shear wave velocity; Nonlinear static analysis; Standard penetration resistance value
• ISSN: 2213-5812; 2213-5820
• DOI: 10.1007/s40328-018-0220-5

Shear wave velocity (V S ) is an important parameter from geotechnical earthquake engineering perspective. In the absence of the direct measurement of V S , V S –N correlation serves an alternative for evaluating the shear wave velocity (V S ) from standard penetration resistance value (SPT-N) at a particular region. In the present study, an attempt has been made to propose generalized V S –N correlation from the globally available correlations for all soil and specific soil type using various regression procedures and genetic algorithm (GA). Various regression procedures along with GA have been used to assess the sensitivity of generalized V S –N correlations in connection with regression methodology. 1D ground response analysis has been carried out at two bore-hole locations in Kolkata city using the V S obtained from generated correlations and site specific response spectra have been generated at those two locations. Finally, performance of some typical buildings have been studied by nonlinear static analysis procedure using those site specific response spectra developed for proposed V S –N relationships for all type of soil and specific type of soil. The performance of the considered typical buildings has been represented in terms of base shear and roof displacement. Chi square ( χ 2 ) test has also been conducted to check the confidence level of base shear and roof displacement obtained by using various developed V S –N relationships varies with the results obtained using available site specific relationships proposed by Nath ( 2016 ), and it reveals that V S –N relationships developed by GA perform better than the V S –N relationships developed by other regression method.