Bearing capacity of mixed soil model

Namdar, Abdoullah; Pelkoo, Mehdi Khodashenas

doi:10.3221/igf-esis.07.06

Cited by 7 publications

(8 citation statements)

References 2 publications

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“…1. Result of liquid limit of red soil [11] Form the evaluation of mixed soil types 2 (consist of 55% red soil and 45% of light brown soil), mixed soil types 3(made up from 55% of red soil and 45% of black soil) and mixed soil types 4 (developed from 55% red soil and 45% of green soil) which are with lowest cohesion and from mineralogy evaluation of these three mixed soil types could be conclude the mixed soil types 2 and 3 due to availability of carbonate mineral could be observed of significantly reducing soil cohesion and in the mixed soil type 4 also one or more minerals presented in the green soil which have negative affected on the soil cohesion, and in this regard could be investigate later.…”

Section: Resultsmentioning

confidence: 99%

Mineralogy in Geotechnical Engineering

Namdar¹

2010

JESTR

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The several investigations on soils by different researchers have been executed, but research on soil mechanical properties based on mineralogy is very meager, in this regard the author intention is employee of natural minerals for evaluation of soil cohesion, it may leads to developments of a soil with appropriates characteristics in permeability, transmitting load, resisting against deformation and settlement. This paper deals with analysis of soil cohesion based on mineralogy. The result revealed cohesion of a plastic soil could be improve by mineral presented in an non plastic soil, and also carbonate has negative affect on soil cohesion and some other soil minerals also have same affect on cohesion that required to be more investigate.

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Section: Resultsmentioning

confidence: 99%

Mineralogy in Geotechnical Engineering

Namdar¹

2010

JESTR

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“…The variation of soil mechanical properties occurred because of the soil mixture. The change soil mechanical properties influenced to safe bearing capacity of soil foundation 3,4 . In the present paper, linear regression analysis and histogram were employed for the assessment of the frequency of safe bearing capacity of soil foundation.…”

Section: Applied Statistical Methodsmentioning

confidence: 99%

“…Using the construction materials economically was assessed to realize methods for manufacture economic construction materials for soil foundation and concrete structure 1 . To achieve the economical safe bearing capacity of soil foundation, the mechanical properties of the soil foundation have been assumed in the analytical process, and soil mixture was employed to modify mechanical properties of the soil, 2,3 to evaluate soil foundation safe bearing capacity the dimension of concrete footing evaluated in associate with soil mixture design in the analytical process 4 . The mechanical properties of the soil in controlling safe bearing capacity were analyzed using shaking table test investigated; however, improper selection mechanical properties of the soil accelerate liquefaction probability 5,6 .…”

Section: Introductionmentioning

confidence: 99%

The application of soil mixture in concrete footing design using the linear regression model

Namdar

2020

Mat Design & Process Comms

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The economical and safe design of a concrete footing is considered in geotechnical engineering projects. The selection appropriate dimension of the concrete footing is a critical decision that needs to be made by professional engineering, and the accuracy of this decision plays a vital role in the economical and safe design of a geotechnical engineering project. In this study, the engineering judgment for the width design of concrete footing when different soil mixture configuration is rested beneath the concrete footing guided using linear regression and histogram models. The size of 1 (m), 1.3 (m), 1.6 (m), 1.9 (m), 2.2 (m), and 2.5 (m) is numerically selected to design width of concrete footing. The linear regression analysis applied to predict economical footing width with higher accuracy in considering all soil mixture designs. The results reveal the higher width of the concrete footing exhibit with higher accuracy. In this study, the proposed models guide the geotechnical engineers in the selection suitable width of concrete footing in a geotechnical engineering project. This study makes the bridge between the analytical method and the application of soil mixture in concrete footing design. The prediction width of concrete footing with high accuracy supports economically a structure and enhances the stability of the structure as well.

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“…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].…”

Section: Introductionmentioning

confidence: 99%

Forecasting bearing capacity of the mixed soil using artificial neural networking

Namdar

2020

Frattura Ed Integrità Strutturale

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The bearing capacity of soil changes owing to the mechanical properties of the soil and it influences the structural stability. In most of the geotechnical engineering projects, there are several soil mechanic experiments, that need interpretation before application. The mechanical properties of soil interaction make the prediction of soil bearing capacity complex. However, the enhancement of construction project safety needs the interpretation of soil experiments and design results for proper application in a geotechnical engineering project. In this study, artificial neural network is proposed for the evaluation of the mixed soil characteristics to forecast the safe bearing capacity of soil due to the mechanical properties of the soil interaction phenomenon. The results for prediction of the safe bearing capacity reveal that the R 2 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 the prediction of the safe bearing capacity of the mixed soil. The higher inaccuracy is obtained when only the influence of single mechanical property on the mixed soil is considered in the prediction of the safe bearing capacity. This study supports the enhancement of geotechnical engineering design quality through the prediction of safe bearing capacity from characterized mechanical properties of the soil.

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Bearing capacity of mixed soil model

Cited by 7 publications

References 2 publications

Mineralogy in Geotechnical Engineering

Mineralogy in Geotechnical Engineering

The application of soil mixture in concrete footing design using the linear regression model

Forecasting bearing capacity of the mixed soil using artificial neural networking

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