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Article detail · 2014 · preprint

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

Journal Natural Hazards and Earth System Sciences Discussions
ISSN2195-9269
YÖKSİS OpenAlex Open access · gold
Year2014
Citations4OpenAlex

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueNatural Hazards and Earth System Sciences Discussions
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)
  • Semantic Scholarcitation count (not merged with OpenAlex)

Abstract

OpenAlex English

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 (σvo/σ′vo), 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.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

4citationsOpenAlex · cited_by_count (cache / database)

Authors

5
  1. I. Shooshpasha 1
  2. A. Kordnaeij 2
  3. ÜNAL DİKMEN ANKARA ÜNİVERSİTESİ 3
  4. H. MolaAbasi 4
  5. I. Amir 5