Prediction of liquefaction potential of any soil deposit is itself a very challenging task. The
problem becomes even more demanding when it becomes necessary to incorporate the …

In this recent study, six different hybrid soft computing techniques namely artificial neural
networks-artificial bee colony (ANN-ABC), artificial neural networks-ant colony optimization …

In this study, an attempt is made to generate hazard maps for the Jammu Region (JR) in
Jammu and Kashmir in terms of surface peak ground acceleration (PGA surface) …

Liquefaction triggering phenomenon during earthquake is one of the most complicated
geotechnical problems due to the complex and heterogeneous nature of the soils. In this …

The current study looks at measuring soil's liquefaction potential using various indexes such
as the factor of safety (FOS), the liquefaction severity index (LSI), and the liquefaction …

The state parameter (ѱ) accounts for both relative density and effective stress, which
influence the cyclic stress or liquefaction characteristic of the soil significantly. This study …

Liquefaction is one of the natural hazards that occurs due to earthquakes and has a
significant impact on the loss of human lives and various civil infrastructures. In this study …

The relative density and effective stress of the soil influence the cyclic stress or liquefaction
behaviour of granular soil significantly. The state parameter (ѱ) which accounts for relative …

Rapidly increasing population of Kolkata metropolitan city has led to encroachment in the
marshy areas, mainly Salt Lake and Rajarhat in the outskirts of the city. Haphazard and …

In the present study, three efficient soft computing techniques (namely, genetic programming
(GP), relevance vector machine (RVM), and multivariate regression splines (MARS)) are …