Abstract

The 2018 Palu-Sigi-Donggala earthquakes in Center Celebes have caused significant damage to many residential houses due to varying degrees of soil liquefaction over a vast extent of urban areas unseen in past destructive earthquakes. Soil liquefaction occurred in Palu and Sigi, thus providing researchers with a wide range of characterizing soil and site response to large-scale earthquake shaking. One of the essential learning issues is the prediction of liquefaction. Prediction of liquefaction is also a complex problem as it depends on many different physical factors, and the relations between these factors are highly non-linear and complex. Most of these approaches are based on classical statistical criteria and neural networks. In this paper, a new method which is based on classification data mining (DM) is proposed. The proposed approach is based on historical data from the field and sciences portal. The proposed algorithm is also compared with several other DM algorithms based on the miner. It is shown that the proposed algorithm is very useful and accurate in the prediction of liquefaction.

Highlights

  • Celebes Island is one of the largest islands that spread in the Indonesian archipelago

  • The K-shaped island is in the eastern part of Indonesia, which is converge of Eurasia, Indo Australia, and Pacific tectonic plates

  • The Liquefaction Potential Index (LPI), which was developed starting in the 1970s by Iwasaki et al (1984) to predict the potential for surface liquefaction, can be correlated directly with the potential damage and cumulative response of soil sediment

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Summary

Introduction

Celebes Island is one of the largest islands that spread in the Indonesian archipelago. The K-shaped island is in the eastern part of Indonesia, which is converge of Eurasia, Indo Australia, and Pacific tectonic plates. The third meeting of the plates led to very active subduction and collision, which caused quite complex problems. The plates in the Southeast Asian region are the result of. The volcanic and tectonic activities in the Sulawesi Island area encourage plate movement activity combined with the Koro fault making this area very active (Thein et al, 2015). From searches on the USGS portal sciences in the last 100 years, there have been 104 earthquakes with magnitudes> 5. The distribution of regions that are not too broad, as shown in Figure 2 causes the intensity of influence received by one point is quite significant

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