Preprints
https://doi.org/10.5194/nhessd-2-2443-2014
https://doi.org/10.5194/nhessd-2-2443-2014
09 Apr 2014
 | 09 Apr 2014
Status: this preprint was under review for the journal NHESS. A revision for further review has not been submitted.

Shear wave velocity by support vector machine based on geotechnical soil properties

I. Shooshpasha, A. Kordnaeij, U. Dikmen, H. MolaAbasi, and I. Amir

Abstract. Shear wave velocity (VS) is a basic engineering property implemented in evaluating the soil shear modulus. In many instances it may be preferable to determine VS indirectly by common in-situ tests, such as the Standard Penetration Test (SPT). In this paper, the relationship between VS and geotechnical soil parameters such as standard penetration test blow counts (N160), effective stress and fines content, as well as overburden stress ratio (σvovo), is investigated. A new mode based on support vector machine (SVM) approach is proposed to correlate geotechnical parameters and VS, predicated on a total of 620 data sets, including field investigation records for the Kocaeli (Turkey, 1999) and Chi-Chi (Taiwan, 1999) earthquakes. This study addresses the question of whether Support Vector Machine (SVM) approach should be used to estimate VS based on the specified geotechnical variables, and assessing the influence of each variable on VS. Results revealed that SVM, in comparison to previous statistical relations, provides an effective means of efficiently recognizing the patterns in data and accurately predicting the VS.

I. Shooshpasha, A. Kordnaeij, U. Dikmen, H. MolaAbasi, and I. Amir
 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
I. Shooshpasha, A. Kordnaeij, U. Dikmen, H. MolaAbasi, and I. Amir
I. Shooshpasha, A. Kordnaeij, U. Dikmen, H. MolaAbasi, and I. Amir

Viewed

Total article views: 1,928 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,118 716 94 1,928 76 85
  • HTML: 1,118
  • PDF: 716
  • XML: 94
  • Total: 1,928
  • BibTeX: 76
  • EndNote: 85
Views and downloads (calculated since 09 Apr 2014)
Cumulative views and downloads (calculated since 09 Apr 2014)

Cited

Latest update: 27 Mar 2024
Download
Altmetrics