Integrating Geo-Electrical and Geotechnical Data for Soil Characterization

Siddiqui, Fahad Irfan; Baharom, Syed; Bin, Azhar; Osman, Syed Baharom Azahar Bin Syed

doi:10.7763/ijapm.2012.v2.63

Cited by 30 publications

(18 citation statements)

References 16 publications

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“…1 and 2, moisture content and bulk density value was higher with the decrease in soil electrical resistivity value due to the presence of more water content in soil tested. This finding confirmed the past findings which indicated the moisture content value will increase with the decreasing of soil resistivity value [17]- [21]. When water was added continuously from dry soil until it reach oversaturated condition, the ease of current propagation in soil will be increased, thus producing a high to low resistivity value.…”

Section: Resultssupporting

confidence: 91%

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Soil Moisture Content and Density Prediction Using Laboratory Resistivity Experiment

Abidin¹,

Saad²,

Ahmad³

et al. 2013

IJET

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Abstract-Natural soils are an intimate mixture of solid, liquid and gas phases. This study establishes a correlation for moisture content and density of a soil with its electrical resistivity. In the past, most of the conventional geotechnical site investigation required bulky and heavy equipment to determine the geotechnical parameters necessary for design and construction purposes. Consequentially, time and cost of the project is increased especially when dealing with some difficult site such as on mountainous terrain. This study is based on laboratory soil box resistivity meter observations made on soils mixed with additions of consistent increments of 1-5 % of water to 1500 gram of remolded soils in loose condition. At least 24 repetitive resistivity test observations were made and the moisture content and soil density was determined concurrently for each of the tests. The observations showed that the electrical resistivity variation decreased in a curvilinear manner with increasing percentage of moisture content. A regression equation and coefficient of determination, R2 for moisture content against soil electrical resistivity value was established by moisture content, w = 152.87ρ-0.312 (ρ = soil electrical resistivity) and R2 = 0.7718 respectively. While a regression equation and R2 value for bulk density versus soil electrical resistivity value was observed to be ρbulk = -0.107 ln (ρ) + 1.7249 and 0.7016 respectively. Hence, a viable method is demonstrated where the electrical resistivity value was applicable and has a great potential for geotechnical data prediction of parameters such as moisture content and soil density.Index Terms-Correlation, moisture content, soil electrical resistivity and soil density.

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Section: Resultssupporting

confidence: 91%

“…Detailed results from all the percentage of water (1-5 %) used was given in Table I. It was found that both correlations showed a curvilinear trend in line with previous researcher findings [17] - [21]. According to Fig.…”

Section: Resultssupporting

confidence: 80%

Soil Moisture Content and Density Prediction Using Laboratory Resistivity Experiment

Abidin¹,

Saad²,

Ahmad³

et al. 2013

IJET

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“…According to Figures 4 -7, moisture content and bulk density value were higher with the decrement of soil electrical resistivity value due to the presence of higher water content in soil tested. This findings was in line from the previous findings which indicates that the moisture content value will increase with the decrement of soil resistivity value (Abidin et al 2014c;Cosenza et al 2006;Ozcep et al 2010;Rinaldi & Cuestas 2002;Siddiqui & Osman 2012) represented by general relationship of ERV ∞ 1/w. When water was added continuously from dry condition until it reached saturated and oversaturated condition, the ease of current propagation in soil will be increased, thus produced high to low resistivity value.…”

Section: Electrical Resistivity Value (Erv)supporting

confidence: 82%

The Influences of Basic Physical Properties of Clayey Silt and Silty Sand on Its Laboratory Electrical Resistivity Value in Loose and Dense Conditions

Abidin¹,

Saad²,

Wijeyesekera³

et al. 2017

JSM

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Non-destructive test which refers to electrical resistivity method is recently popular in engineering Ujian tak musnah yang merujuk kepada kaedah kerintangan elektrik semakin banyak digunakan dalam kajian kejuruteraan, alam sekitar, arkeologi dan perlombongan. Berdasarkan kajian terdahulu, interpretasi keputusan kerintangan elektrik sering diperdebatkan disebabkan kekurangan bukti kajian dalam perspektif kuantitatif. Kebiasaannya interpretasi keputusan kerintangan elektrik banyak bergantung kepada perspektif kualitatif justeru berkemungkinan besar berisiko tinggi untuk menghasilkan keputusan yang salah. Maka, kajian ini telah menjalankan uji kaji makmal kerintangan elektrik tanah disokong oleh uji kaji sifat asas fizikal tanah seperti uji kaji taburan saiz zarah (d), kandungan lembapan (w), ketumpatan (ρ bulk ) dan had Atterberg (LL, PL dan PI). Uji kaji dijalankan untuk menghasilkan satu siri nilai kerintangan elektrik (ERV) berdasarkan kuantiti air yang berbeza terhadap lempung berkelodak dan kelodak berpasir dalam keadaan longgar dan juga mampat. Hasil keputusan menunjukkan nilai kerintangan tanah adalah berbeza dalam keadaan longgar (L) dan mampat (C) serta variasi kandungan air dan juga ketumpatan (pasir berkelodak = ERV = 638.8ρ -0.418 , w (D) = 1397.1ρ -0.574

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“…Electrical electrical sounding or 2D survey is carried out at the drill hole location BH-01, BH-02, BH-03 and BH-04, use simple equipment and accessories in obtaining electrical resistivity values, e.g., DC power sources, insulated cables, steel electrodes. Electric sounding is performed using a Wenner electrode configuration with a 3 m electrode distance (Siddiqui and Osman, 2012).…”

Section: Methodsmentioning

confidence: 99%

Fuzzy Logic Clustering Modeling of Surface Soil Parameters Based on Georesistivity Profiles and Geology Techniques

Antarissubhi¹,

Samang²,

Harianto³

et al. 2020

J. Eng. Appl. Sci.

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This research generally aims to develop a model that can simplify and streamline the investigation of surface soil work in particular knowing the characteristics of soil layers based on electrical resistivity. Problems that occur many construction failures are caused by exploitation of land use that exceeds the carrying capacity of the land, for example, the use of land originating from peat, swamps or lakes which often occurs land suddenly. Therefore, to achieve accurate soil data, a good soil investigation is needed and a georesistivity method can interpret soil properties and determine stratigraphy and characteristics of soil layers. The qualitative and quantitative research methods used consist of field research based on soil resistivity values and laboratory investigations that use conventional soil investigations as a comparison and as a reference to get detailed results on the soil layer while the results obtained from measurements on the georesistivity profile to a depth of 15 m. Testing the results of engineering geological drilling to a depth of 15 m, obtained 4 types of soil CH, CL, MH and ML. The results are in clusters using artificial intelligence algorithms and formed into 4 clusters which in total have 47 members.

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Integrating Geo-Electrical and Geotechnical Data for Soil Characterization

Cited by 30 publications

References 16 publications

Soil Moisture Content and Density Prediction Using Laboratory Resistivity Experiment

Soil Moisture Content and Density Prediction Using Laboratory Resistivity Experiment

The Influences of Basic Physical Properties of Clayey Silt and Silty Sand on Its Laboratory Electrical Resistivity Value in Loose and Dense Conditions

Fuzzy Logic Clustering Modeling of Surface Soil Parameters Based on Georesistivity Profiles and Geology Techniques

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