Abstract

The presence of an economical solution to predict soil behaviour is essential for new construction areas. This paper aims to investigate the ultimate interpolation method for predicting the soil bearing capacity of An-Najaf city-Iraq based on field investigation information. Firstly, the engineering bearing capacity was calculated based on the in-site N-SPT values using dynamic loading for 464 boreholes with depths of 0–2 m, using the Meyerhof formula. The data then were classified and imported to the GIS program to apply the interpolation methods. Four deterministic and two geostatistical interpolation methods were applied to produce six bearing capacity maps. The statistical analyses were performed using two methods: the common cross-validation method by the coefficient of determination (R2) and root mean square error (RMSE), where the results showed that ordinary kriging (OK) is the ultimate method with the least RMSE and highest R2. These results were confusing so, the backward elimination regression (BER) procedure was applied to gain the definite result. The results of BER show that among all the deterministic methods, the IDW is the optimal and most significant interpolation method. The result of geostatistical methods shows that EBK is the best method in our case than the OK method. BER also applied to all six methods and shows that IDW is the ultimate significant method. The results indicate no general ultimate interpolation method for all cases and datasets type; therefore, the statistical analyses must be performed for each case and dataset.

Highlights

  • The Allowable bearing capacity is an influential geotechnical parameter used to decide the most convenient foundation for a particular structure

  • Among the seven methods technique (TSA, IDW, local polynomial interpolation (LPI), TPS, UK, Cokriging, and ordinary kriging (OK)), the results indicated that OK and UK are the optimal interpolation methods for this particular case (Luo et al 2008)

  • The purpose of this paper is to statistically determine the optimal GIS-based interpolation method for soil Bearing Capacity data collected from 464 sites

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Summary

Introduction

The Allowable bearing capacity is an influential geotechnical parameter used to decide the most convenient foundation for a particular structure. Bearing capacity is essential for the type and depth of foundations to prevent damages, especially those resulting from loads and earthquakes (Al-Maliki et al 2018). A Geodatabase for soil geotechnical properties can help save a high portion of the total project cost. It is a complicated, time-consuming, and expensive process to create a Geodatabase for a specific area because it requires considerable data. Instead, using interpolation methods to predict the non-spatial points from the existing ones can be very helpful

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