The use of neural networks to develop CPT correlations for soils in northern Croatia

M. S. Kovacevic, K. G. Gavin, C. Reale, L. Libric

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The evaluation of soil parameters for design is best undertaken through comprehensive laboratory test programmes. However, due to sampling difficulty, time and cost constraints correlations between in-situ tests and physical-mechanical properties of soils are routinely applied in practice. This paper presents data collected from five sites in Northern Croatia at which Cone Penetration Tests (CPT) and comprehensive laboratory test data was available. One of the advantages of using CPT data in preference to other types of in-situ tests for establishing correlations, is the large volume of high-quality data available at each probe location allows for the application of advanced statistical approaches. In this paper, the use of neural networks in developing such correlations is demonstrated. Using a database of 216 data pairs, obtained from the five sites, a correlation between CPT q c and soil unit weight is established. A validation exercise was performed in which the correlation was tested against data from the recent Veliki vrh landslide that occurred in the same geographical region as the database sites. In addition, by using the soil behaviour type index, Ic, normalised cone tip resistance, Qtn, and normalised sleeve friction, Fr, the results can be compared to correlations developed for soils from geotechnical diverse regions to check for consistency in the derived correlations.

Original languageEnglish
Title of host publicationCone Penetration Testing 2018 - Proceedings of the 4th International Symposium on Cone Penetration Testing, CPT 2018
EditorsMichael A. Hicks, Federico Pisano, Joek Peuchen
PublisherCRC Press
Pages377-382
Number of pages6
ISBN (Print)9781138584495
Publication statusPublished - 1 Jan 2018
Event4th International Symposium on Cone Penetration Testing, CPT 2018 - Delft, Netherlands
Duration: 21 Jun 201822 Jun 2018

Conference

Conference4th International Symposium on Cone Penetration Testing, CPT 2018
CountryNetherlands
CityDelft
Period21/06/1822/06/18

ASJC Scopus subject areas

  • Materials Science(all)

Cite this

Kovacevic, M. S., Gavin, K. G., Reale, C., & Libric, L. (2018). The use of neural networks to develop CPT correlations for soils in northern Croatia. In M. A. Hicks, F. Pisano, & J. Peuchen (Eds.), Cone Penetration Testing 2018 - Proceedings of the 4th International Symposium on Cone Penetration Testing, CPT 2018 (pp. 377-382). CRC Press.

The use of neural networks to develop CPT correlations for soils in northern Croatia. / Kovacevic, M. S.; Gavin, K. G.; Reale, C.; Libric, L.

Cone Penetration Testing 2018 - Proceedings of the 4th International Symposium on Cone Penetration Testing, CPT 2018. ed. / Michael A. Hicks; Federico Pisano; Joek Peuchen. CRC Press, 2018. p. 377-382.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kovacevic, MS, Gavin, KG, Reale, C & Libric, L 2018, The use of neural networks to develop CPT correlations for soils in northern Croatia. in MA Hicks, F Pisano & J Peuchen (eds), Cone Penetration Testing 2018 - Proceedings of the 4th International Symposium on Cone Penetration Testing, CPT 2018. CRC Press, pp. 377-382, 4th International Symposium on Cone Penetration Testing, CPT 2018, Delft, Netherlands, 21/06/18.
Kovacevic MS, Gavin KG, Reale C, Libric L. The use of neural networks to develop CPT correlations for soils in northern Croatia. In Hicks MA, Pisano F, Peuchen J, editors, Cone Penetration Testing 2018 - Proceedings of the 4th International Symposium on Cone Penetration Testing, CPT 2018. CRC Press. 2018. p. 377-382
Kovacevic, M. S. ; Gavin, K. G. ; Reale, C. ; Libric, L. / The use of neural networks to develop CPT correlations for soils in northern Croatia. Cone Penetration Testing 2018 - Proceedings of the 4th International Symposium on Cone Penetration Testing, CPT 2018. editor / Michael A. Hicks ; Federico Pisano ; Joek Peuchen. CRC Press, 2018. pp. 377-382
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