Prediction of shear‐wave velocity from CPT data at Eskisehir (Turkey), using a polynomial model

Abstract

It is widely known that seismic shear‐wave velocity is one of the most important parameters in site characterization studies. In some instances, it is necessary to determine shear‐wave velocity indirectly from common in situ tests, such as the cone penetration test. There are numerous earlier studies showing this possibility. In this study, the relation between shear‐wave velocity and subsoil geotechnical properties, e.g., cone‐tip resistance and sleeve friction from cone penetration test is reinvestigated in a study area located in Eskisehir, Turkey. New polynomial models are proposed for the correlation. A total of 437 samples extracted from 37 sites made of clay, sand, sand‐clay mixture, and miscellaneous soil types have been used. We compare our results involving polynomial fitting with earlier results of statistical correlation using power‐law or logarithmic relations between shear‐wave velocity and cone‐tip resistance or sleeve friction. The predicted values using our model are checked against the measured ones to evaluate the performance of the polynomial model. The results suggest that the newly proposed approach provides a means for recognizing more efficiently the patterns in the data and reliably predicting the shear‐wave velocity. Additionally, the sensitivity analysis reveals the influence of parameters and the contribution of each coefficient in the polynomial model. Cone penetration test cone‐tip resistance relates more strongly than sleeve friction to shear‐wave velocity. The intercept term in the polynomial is of primary importance in such correlation, for all soil types.

Prediction of shear‐wave velocity from CPT data at Eskişehir (Turkey), using a polynomial model’

“…We have noticed some factual errors in Mola‐Abasi et al . (). It is important to point out these errors for the sake of correct future reference and for the benefit of geophysical and geotechnical investigations in this area.…”

“…The CPT/SCPT locations shown in Figure 2 of Mola‐Abasi et al . () are wrong. Note that the latitudes and longitudes of the CPT/SCPT locations listed in Table 2 of the same article do not correspond to the locations therein plotted in Figure 2.…”

“…Mola‐Abasi et al . () state (page 159): “In the summer of 2000, SCPT was performed at 45 different sites by the Earth and Space Science Research Institute of Anadolu University.” This is not correct. In fact, SCPT data from 40 different sites located on alluvium were used (pages 7–2, Ayday ()).…”

Polynomial Models Controlling Strength of Zeolite-Cement-Sand Mixtures

“…In this eld, Kalantary et al [29], Ardalan et al [30], Mola-Abasi et al [31], and Kordnaeij et al [32] applied polynomial models to predict undrain shear strength of clays, pile bearing capacity, liquefaction induced lateral displacement, shear wave velocity, shear wave velocity, and recompression index of consolidation based on geotechnical soil properties, respectively. Thus, this approach can be used in empirical correlation of zeolitecement-sand mixture's UCS.…”

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

“…Researchers have also used neural network models to predict V S value in oil wells [26,[47][48][49][50]. In addition, ANNs have been used to estimate and predict V S values of soils using geotechnical soil properties such as CPT [51][52][53].…”