Empirical correlations of shear wave velocity (Vs) and penetration resistance (SPT-N) for different soils in an earthquake-prone area (Erbaa-Turkey)

Akın, Müge K.; Kramer, Steven L.; Topal, Tamer

doi:10.1016/j.enggeo.2011.01.007

Cited by 110 publications

(82 citation statements)

References 21 publications

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“…Most of the current practices use SPT-N value (i.e. Bolton Seed et al 1985;Tokimatsu and Yoshimi 1983;Akin et al 2011) or CPT-q c value (i.e. Stark and Olson 1995;Juang et al 2003) as baselines for evaluating the liquefaction potential.…”

Section: Methodsmentioning

confidence: 99%

Study of Ground Treatment on Improvement of Pile Foundation Response in Liquefiable Soils

Chen

2017

Geotech Geol Eng

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In light of the disastrous the 2011 Tohoku Pacific Earthquake, the government of Japan has conducted studies to revise the seismic design code, and elevated peak ground accelerations have been adopted. Consequently, revisions on existing design to comply with the updated code are required for public projects that are still undergoing. The design safety needs to be reassessed, and implementation of strengthening measures is required if deemed necessary. For liquefaction countermeasures, ground treatment techniques that could increase the density of soils are often the preferable alternatives. The treatment usually increases the in situ SPT-N or CPT-q c values, which in turn would increase the resistance of soil against liquefaction. For many public infrastructures in Japan supported by bored piles embedded partly or entirely in sandy soils, reevaluation of design safety against soil liquefaction would be required. In an assessment of possible retrofitting countermeasures for an infrastructure foundation, ground treatment has been considered. In this case study, effect of ground treatment on response of piles in liquefiable soils was investigated with numerical analyses using FLAC. Results provide insights into this ground treatment effect and useful information for consideration in future design or decision making.

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Section: Methodsmentioning

confidence: 99%

Study of Ground Treatment on Improvement of Pile Foundation Response in Liquefiable Soils

Chen

2017

Geotech Geol Eng

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“…At rst, the relationships between V S and each of the independent variables were studied. The relationship between V S and SPT as well as V S and depth has a power-law form [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Therefore, the most preferred functional form of relation between SPT and V S proposed in literature (V S = a N b ) has been used as the main format for MLR analysis.…”

Section: Mean Absolute Error (Mae)mentioning

confidence: 99%

“…Shear wave velocity (V S ) is a fundamental parameter in de ning the dynamic properties of soils, evaluating dynamic site response, and characterizing dynamic site [1,2]. The pro le of V S in the ground is considered as the most reliable predictor of site-dependent properties from a seismic action in stable sites [3].…”

Section: Introductionmentioning

confidence: 99%

“…The pro le of V S in the ground is considered as the most reliable predictor of site-dependent properties from a seismic action in stable sites [3]. V S is measured often by in-situ methods in low strain levels; therefore, the measured V S can be employed to determine the maximum shear modulus (G max ) of soil deposit in di erent depths [1]. G max is an essential input parameter for analyzing the dynamic stability of slopes, dams, embankments, etc.…”

Section: Introductionmentioning

confidence: 99%

“…SPT is one of the most economical and commonly employed in-situ tests involving very strong relationships with many of geotechnical soil properties. Many studies have proposed statistical relationships between V S and SPT blow counts [1,[3][4][5][6][8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predicting Shear Wave Velocity of Soil Using Multiple Linear Regression Analysis and Artificial Neural Networks

et al. 2017

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Abstract. This paper investigates the correlation between shear wave velocity and some of the index parameters of soils, including Standard Penetration Test blow counts (SPT), FineContent (FC), soil moisture (W ), Liquid Limit (LL), and Depth (D). The study attempts to show the application of arti cial neural networks and multiple regression analysis to the prediction of the shear wave velocity (V S ) value of soils. New prediction equations are suggested to correlate VS with the mentioned parameters based on a dataset collected from Mashhad city in the north east of Iran. The results suggest that, in the case of ANN method use, highly accurate correlations in the estimation of VS are acquired. The predicted values using ANN method are checked against the real values of V S to evaluate the performance of this method. The minimum correlation coe cient obtained in ANN method is higher than the maximum correlation coe cient obtained from the MLR. In addition, the value of estimation error in the ANN method is much less than that in the MLR method, indicating the role of higher con dence coe cient of the ANN in estimating VS of soil.

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Mechanical‐probabilistic formulation of the soil–structure interaction, accounting for the average shear wave velocity

Attal

Grange

Baroth

et al. 2020

Num Anal Meth Geomechanics

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Summary This work proposes a mechanical‐probabilistic formulation of the soil–structure interaction, taking into account the variability of the mean velocity of shear wave seismic load. This work aims at studying the sensitivity of the seismic response of a reinforced concrete frame structure by accounting for different seismic scenarios. For this purpose, the simplified model of a two‐story structure system has been developed. This model is based both on a macro‐element approach and on a stochastic collocation method. The sensitivity of the maximum displacement of the structure under different average shear wave velocities is studied. This aim in view, Gaussian or lognormal random variables are arbitrarily chosen to model this velocity. Analysis of the seismic vulnerability of the soil–structure system leads to cumulative distribution functions, which sometimes show significant differences for the same soil class in the sense of the European standard for the design of structures for earthquake resistance.

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Empirical correlations of shear wave velocity (Vs) and penetration resistance (SPT-N) for different soils in an earthquake-prone area (Erbaa-Turkey)

Cited by 110 publications

References 21 publications

Study of Ground Treatment on Improvement of Pile Foundation Response in Liquefiable Soils

Study of Ground Treatment on Improvement of Pile Foundation Response in Liquefiable Soils

Predicting Shear Wave Velocity of Soil Using Multiple Linear Regression Analysis and Artificial Neural Networks

Mechanical‐probabilistic formulation of the soil–structure interaction, accounting for the average shear wave velocity

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