Correlation Analysis Between Field Electrical Resistivity Value (ERV) and Basic Geotechnical Properties (BGP)

Abidin, Mohd Hazreek Zainal; Saad, Rosli; Ahmad, Fauziah; Wijeyesekera, Devapriya Chitral; Baharuddin, Mohamad Faizal Tajul

doi:10.1007/s11204-014-9264-x

Cited by 31 publications

(18 citation statements)

References 12 publications

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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: 92%

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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Section: Electrical Resistivity Value (Erv)supporting

confidence: 92%

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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“…As stated by [23], electrical current may propagate in geomaterial via the process of electrolysis where the current was carried by ions at a comparatively slow rate. The application of field electrical resistivity has theoretically stated that the water content in subsurface materials has a close positive correlation with the electrical conductivity [24]. The variation of soil moisture content for Gravelly SAND and Silty SAND may due to the variation of porosity derived from different particle grained fraction between both soils thus influencing the variation of ERV.…”

Section: Resultsmentioning

confidence: 99%

“…During the processing stage, smooth constraint least square method was used in order to produce a smooth boundary representing soil material underneath. According to [11], smooth constraint least square method will produce a smooth boundary change which was considered more suitable for representing the soil material in contrast with rock and fractured material which preferred to analyzed using a robust method due to its sharp geomaterial boundary. RES2DINV commercialize software [17] was used to process and analyze the raw data thus producing an inverse model that estimate the actual subsurface structure.…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, electrical resistivity value result interpretation was always exposed to the limitation with particular reference to the geomaterial resistivity overlapping properties. According to [11], previous ERV geomaterial reference charts and tables are not easily adaptable due to its wide range of variation in the parametric values and the overlapping values. Moreover, [12] has reported that the electrical resistivity value used to characterize subsurface profile material is necessarily subjected to local ground conditions, and the characterization occurs within overlapping classifications.…”

Section: Introductionmentioning

confidence: 99%

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Soil Identification using Field Electrical Resistivity Method

Hazreek

Rosli

Chitral³

et al. 2015

J. Phys.: Conf. Ser.

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Abstract. Geotechnical site investigation with particular reference to soil identification was important in civil engineering works since it reports the soil condition in order to relate the design and construction of the proposed works. In the past, electrical resistivity method (ERM) has widely being used in soil characterization but experienced several black boxes which related to its results and interpretations. Hence, this study performed a field electrical resistivity method (ERM) using ABEM SAS (4000) at two different types of soils (Gravelly SAND and Silty SAND) in order to discover the behavior of electrical resistivity values (ERV) with type of soils studied. Soil basic physical properties was determine thru density (ρ), moisture content (w) and particle size distribution (d) in order to verify the ERV obtained from each type of soil investigated. It was found that the ERV of Gravelly SAND (278 Ωm & 285 Ωm) was slightly higher than Silty SAND (223 Ωm & 199 Ωm) due to the uncertainties nature of soils. This finding has showed that the results obtained from ERM need to be interpreted based on strong supported findings such as using direct test from soil laboratory data. Furthermore, this study was able to prove that the ERM can be established as an alternative tool in soil identification provided it was being verified thru other relevance information such as using geotechnical properties.

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“…Resistivity value was highly influenced by pore fluid and grain matrix of geomaterials [34]. According to Abidin et al [35][36][37][38], ERV of geomaterials was largely influenced by the variations of basic physical properties of soil such as grain size fraction, moisture content and density. As reported by [39], a soil's ERV generally varies inversely proportional to the water content and dissolved ion concentration as clayey soil exhibit high dissolved ion concentration, wet clayey soils have lowest resistivity of all soil materials while coarse, dry [40].…”

Section: Iscee 2016mentioning

confidence: 99%

Evaluation of Unknown Tube Well Depth Using Electrical Resistivity Method

et al. 2017

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Abstract. Electrical resistivity method has increasingly adopted in engineering, environmental, mining and archaeological studies. Systematic and proper studies of unknown civil engineering structure evaluation particularly on tube well depth was rarely being established. Conventionally, camera test or string with weight approach has been used to evaluate unknown tube well depth thus exposed to several restriction due to its expensive and time consuming. Hence, this study focused on evaluation of unknown tube well depth using indirect test with particular reference to electrical resistivity method (ERM).A single spread line of electrical resistivity survey was performed using ABEM SAS 4000 equipment set based on Wenner and Pole-dipole array in line with the tube well position. Electrical resistivity raw data was processed using RES2DINV software producing electrical resistivity tomography (ERT) of the subsurface profile studied. Then, electrical resistivity value (ERV) obtained from RES2DINV analyses (ERT) was extracted and analysed using plotted graph (depth versus ERV) specifically at tube well position based on electrical resistivity spread line performed. It was found that both array have shown some good similarity results in term of tube well depth (20 m) thus able to verify the result interpreted. Both array have shown some good similarity of ERV representing groundwater (ERV = 10 -100 Ωm) and soil with water (ERV > 100 Ωm) at depth of 0 -20 m and >20 m respectively. All those interpretation have shown good agreement based on verification thru established ERV of earth materials references, geological map and nearest available boreholes data. Hence, this study has shown that the application of ERM was applicable in evaluation of unknown tube well depth which efficient in term of cost, time and environmental sustainable.

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Correlation Analysis Between Field Electrical Resistivity Value (ERV) and Basic Geotechnical Properties (BGP)

Cited by 31 publications

References 12 publications

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

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

Soil Identification using Field Electrical Resistivity Method

Evaluation of Unknown Tube Well Depth Using Electrical Resistivity Method

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