Probabilistic and deterministic-based approach for liquefaction potential assessment of layered soil

Poddar, Prince; Ojha, Sauhardra; Gupta, Mohit Kumar

doi:10.1007/s11069-023-06031-9

Cited by 1 publication

(1 citation statement)

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“…The study uses the Liquefaction Potential Index (LPI) approach, the first method Iwasaki et al, (1978) introduced to predict liquefaction potential. The LPI methodology assumes that the liquefaction damage is proportional to the following conditions (Poddar, 2023): a. The thickness of the liquefied layer, b.…”

Section: Introductionmentioning

confidence: 99%

The Distribution of Spatial Liquefaction with different interpolation methods using GIS: A case in Bantul Region, Indonesia

Haifani,

Nirwansyah,

Suntoko

et al. 2023

Preprint

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Liquefaction Potential Index (LPI) is a technical standard for assessing an area that can become liquefied, representing the accumulation of damaged soil layers. This study used interpolation techniques to visualize the distribution of potential liquefaction in an area, which includes Topo to Raster, Spline, Inverse Distance Window, and Kriging. This interpolation technique compares the most effective methods for describing the LPI distribution. This study's results show that the Topo to Raster interpolation technique is assumed to be the most effective in explaining the LPI distribution by considering the correlation between LPI and amax for the Bantul area. In the validation test, the Topo to Raster correlation results produced the optimum R2 value (0.769) among the three other interpolation techniques, 0.476 (RMSE) and 0.911 (MAE). Pearson's test showed that the Topo to Raster produced a strong relationship between amax and LPI of 0.863. Visualization of the 2D LPI distribution is essential to mitigate the liquefaction so that this approach can minimize the potential damage to the foundation design and civil building structures.

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Section: Introductionmentioning

confidence: 99%