Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Prediction of Soil Liquefaction Potential Using Soft Computing Methods

Prediction of Soil Liquefaction Potential Using Soft Computing Methods

Kumar, Vijay

Paperback

General Sociology

ISBN10: 6208479215
ISBN13: 9786208479213
Publisher: LAP Lambert Academic Publishing
Published: Sep 3 2025
Pages: 396
Weight: 1.16
Height: 0.88 Width: 6.00 Depth: 9.00
Language: English
Damages due to recent earthquakes (e.g., Kathmandu Earthquake in 2015; Sikkim Earthquake in 2011; Haiti Earthquake in 2010; Kashmir Earthquake in 2005; Indian Ocean Earthquake in 2004; Bhuj in 2001; etc.) in the 21st century have attracted many researchers and engineers to the seismic safety of densely populated cities. Past studies (e.g., Seed et al., 2001; Idriss & Boulanger, 2004; Tokimatsu & Yoshimi, 2006, etc.) suggest that one of the major factors that can influence the seismic safety of structures is liquefaction of soil, which depends upon site conditions. Soil profile above bed rock, water table location from ground level etc. plays an important role that can affect liquefaction behavior of soil. Zone-V of Prayagraj city is the worst-affected area due to liquefaction, whereas Zone IV is the least affected area. Therefore, anti-liquefaction measures should be taken up properly for vulnerable areas or zones. This study highlighted that developed models for different combinations can be used for predicting L.P. without using seismic data, i.e., earthquake magnitude, maximum horizontal acceleration, etc.

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