Abstract
Abstract. The bearing capacity of soil changes owing to the mechanical properties of the soil and influences on structural stability. In most of the geotechnical engineering projects, there are several soil mechanic experiments, they need interpretation before application. The mechanical properties of soil interaction make complex predict of soil bearing capacity. However, to enhancement safety of construction project need to the interpretation of soil experiments and design results for proper application in a geotechnical engineering project. In this study, artificial neural networking is proposed for the evaluation of the mixed soil characteristics to forecast the safe bearing capacity of soil because of the mechanical properties of the soil interaction phenomenon. The results reveal for prediction of the safe bearing capacity, the R2 and RMSE for all mechanical properties effects on safe bearing capacity are 0.98 and 0.02, these values can provide a suitable accuracy for prediction safe bearing capacity of the mixed soil. The higher inaccuracy obtained when only the influence of single mechanical property on the mixed soil considered in prediction of the safe bearing capacity. This study supports the enhancement of geotechnical engineering design quality through prediction safe bearing capacity from characterized mechanical properties of the soil.
Highlights
L aboratory experimental activity was performed for the characterization of red soil in soil mixture process and the assessment of soil mixture mechanical properties was performed for developing acceptable safe bearing capacity [1]
The soil mixture is a technique based on the soil mineralogy and morphology to control soil strength and stiffness, but because of probability function in soil mixture design and development of unexpected results during soil mixture process, feasible techniques are to be applied on soil mixture in geotechnical engineering design and soil foundation strengthening
The safe bearing capacity of the soil is a critical factor in the geotechnical engineering design and plays the main role in structural stability
Summary
L aboratory experimental activity was performed for the characterization of red soil in soil mixture process and the assessment of soil mixture mechanical properties was performed for developing acceptable safe bearing capacity [1]. The bearing capacity of mixed soil foundation was investigated by changing the concrete footing dimensions and the soil mechanical properties systematically [2,3]. The bearing capacity of the embankment soil foundation was enhanced by developing dense zones in the subsoil [6]. The mechanical properties of soil interaction make the prediction of soil bearing capacity difficult. The goal of this study is to forecast the influence of mechanical properties of soil on bearing capacity of the mixed soil, and to predict each element of soil mechanical properties separately. To combine all the mechanical properties on the safe bearing capacity of the soil foundation, the artificial neural network (ANN) is applied
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