Correlation of standard penetration test and pressuremeter data: a case study from Istanbul, Turkey

Bozbey, İlknur; Toğrol, Ergün

doi:10.1007/s10064-009-0248-4

Cited by 41 publications

(23 citation statements)

References 10 publications

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“…This research study proposed E i = 0.22(N SPT ) + 10.01 for cohesive soil in Kenny Hill Formation. According to the scatter graph, most similar result to this equation is established by Bozbey & Togrol (2010). It also presents similar pattern with Ohya et al (1982).…”

Section: Resultssupporting

confidence: 83%

Correlation between PMT and SPT results for Kenny Hill Formation

Zaki¹,

Ismail²,

Govindasamy³

et al. 2019

BGSM

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The utilization and simplicity of standard penetration test (SPT) gives major advantages in site investigation over other methods. SPT is widely practised for all sizes of project and feasible to be used in low-cost construction. However, SPT does not comprehensively capture the real soil behaviour and inevitably generate disturbance to soil samples. Considering that SPT is available for every site investigation works, it was tempting to develop correlation between the pressuremeter test (PMT) results and the SPT results, particularly for local practise. PMT is normally adopted to determine the in-situ stress-strain characteristic, horizontal pressure and lateral failure load of soil. This method is considered as undisturbed soil test due to its mechanism that directly tested the soil. Kenny Hill Formation has thick layer of residual soil due to intense weathering process in the tropical climate region. Thus, adopting the local correlations is more efficient to represent the geological formation of the site. In this research study, the approach is to develop correlation between SPT and PMT. The standard penetration test (SPT) value was obtained from a soil exploration study conducted in Kenny Hills Formation, Malaysia which was conducted at selected depths of borehole. Correlation of SPT value (N SPT) and PMT initial modulus (E i) is E i = 0.22 (N SPT) + 10.01 with coefficient of determination (R 2) 0.642.

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Section: Resultssupporting

confidence: 83%

Correlation between PMT and SPT results for Kenny Hill Formation

Zaki¹,

Ismail²,

Govindasamy³

et al. 2019

BGSM

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“…Numerous researchers have proposed and used empirical correlations between SPT N values and shear wave velocity: Seed and Idriss (1981), Lee (1990), Dikmen (2009), Hasancebi and Ulusay (2007), Ulugerli and Uyanık (2007), Chatterjee and Deepankar (2013), and Ayolabi and Adegbolo (2014). There are also many empirical equations in the literature derived from correlations of SPT blow count and other in situ test parameters; Yagiz et al (2008), Bozbey and Togrol (2010), and Kayabaşı (2012) studied the correlations of SPT blow counts and pressuremeter parameters. Researchers have proposed a series of empirical equations for sandy, silty, and clayey soils.…”

Section: Introductionmentioning

confidence: 98%

Some emprical equations for predicting standard penetration test blow counts in clayey soils: a case study in Mersin, Turkey

Kayabaşı

2014

Arab J Geosci

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The standard penetration test (SPT) is a widespread test used in situ. Soil mechanical properties such as grain-size content, moisture content, atterberg limits, activity of clay, and consistency of clay determine the SPT blow count. In addition, the SPT blow count reflects the soil mechanical and compressibility parameters. The purpose of this study is to determine the clayey soil states that determine the SPT blow count number; 220 data points derived from a foundation investigation of a sewerage project in Mersin City were used in the study. The Mersin sewerage project includes the sewerage station, central pumping station, and west pumping station in Mersin city, Turkey. The corrected SPT blow counts (N 60 ) and corresponding parameters (fine-grain size percent, liquid limit, plastic limit, plasticity index, moisture content, activity, and consistency) of the clayey soil from these locations were used in a series of simple and nonlinear multiple regression analyses. Based on the analyses, the acceptable results have been determined by a simple regression analyses between the corrected SPT blow counts and the following input parameters: activity, moisture content (in percent), finegrained percent (in percent). The simple regression analyses for N 60 -LL (in percent), N 60 -PL (in percent), and N 60 -PI (in percent) are considered unacceptable so these parameters are not evaluated as input parameters in the multiple regression analyses. Multiple regression analyses with two independent input parameters produces acceptable results. The optimal equation is determined with multiple regression analyses using activity and moisture content as the input parameters; this equation has a coefficient of determination of R 2 =0.78. The prediction capability of the developed equations is also acceptable. However, the prediction equations proposed in this study are developed with a limited number of data points. For this reason, a cross-check should be performed before using these empirical equations for design purposes.

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“…The very recent studies have been conducted by [8,30,54,55]. Yagiz et al [55] searched for relationships between SPT blow counts and E PMT and P L from pressuremeter results based on a study conducted in Denizli, Turkey.…”

Section: Introductionmentioning

confidence: 99%

“…They found that linear relationships existed between the corrected SPT number and E PMT and P L in arithmetic axes. Also Bozbey and Togrol [8] studied the correlations between SPT and pressuremeter parameters. The authors [8] emphasized many difficulties arising from the disturbance of the soil, the drainage conditions and the level of strain during the drilling and testing processes.…”

Section: Introductionmentioning

confidence: 99%

“…Also Bozbey and Togrol [8] studied the correlations between SPT and pressuremeter parameters. The authors [8] emphasized many difficulties arising from the disturbance of the soil, the drainage conditions and the level of strain during the drilling and testing processes. The proposed empirical equations for sandy and clayish soils have high coefficients of determination.…”

Section: Introductionmentioning

confidence: 99%

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Simple and Non-Linear Regression Techniques Used in Sandy-Clayey Soils to Predict the Pressuremeter Modulus and Limit Pressure: A Case Study of Tabriz Subway

Narimani¹,

Chakeri²,

Davarpanah³

2018

Period. Polytech. Civil Eng.

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Nowadays, some common field tests consist of SPT test and pressuremeter test are performed in investigating the geotechnical parameters of projects such as tunneling. Due to the high cost of pressuremter test performance and its time-consuming procedure, using some empirical relations between SPT and Pressuremeter tests are recommended for primarily study of the project. The purpose of this study is to perform regression analyses between the NSPT and the uniaxial compression strength test and the pressuremeter test parameters obtained from a geotechnical investigation performed in route of 2nd line of Tabriz metro. Correlations were carried out for sandy and clayey soils separately. A series of simple and nonlinear multiple regression analyses are performed and as a result of analyses, several empirical equations are developed. It is shown that the empirical equations developed in this study are statistically acceptable.

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Correlation of standard penetration test and pressuremeter data: a case study from Istanbul, Turkey

Cited by 41 publications

References 10 publications

Correlation between PMT and SPT results for Kenny Hill Formation

Correlation between PMT and SPT results for Kenny Hill Formation

Some emprical equations for predicting standard penetration test blow counts in clayey soils: a case study in Mersin, Turkey

Simple and Non-Linear Regression Techniques Used in Sandy-Clayey Soils to Predict the Pressuremeter Modulus and Limit Pressure: A Case Study of Tabriz Subway

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