3D slope stability analysis with spatially variable and cross-correlated shear strength parameters

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

37 Downloads (Pure)

Abstract

The paper investigates the stability of slopes with spatially variable and cross-correlated shear strength parameters in 3D. The influence of various cross-correlation coefficients between these parameters on the probability of 3D slope failure has been considered for different levels of anisotropy of the heterogeneity in the shear strength. Specifically, 3D random fields of cohesion and friction angle were generated using the Local Average Subdivision method, and these were correlated with each other by various degrees. The fields were then linked to finite element analyses within a Monte Carlo framework. The results indicate that a positive cross-correlation between the parameters reduces the slope reliability, whereas a negative cross-correlation between the parameters increases the reliability.
Original languageEnglish
Title of host publicationProceedings of the 9th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2018)
EditorsA.S. Cardoso, J.L. Borges, P.A. Costa, A.T. Gomes, J.C. Marques, C.S. Vieira
PublisherCRC Press / Balkema
Pages543-548
Number of pages6
ISBN (Electronic)978-1-138-33198-3
ISBN (Print)9781138544468
Publication statusPublished - 2018
EventNUMGE 2018: 9th European Conference on Numerical Methods in Geotechnical Engineering - Porto, Portugal
Duration: 25 Jun 201827 Jun 2018
Conference number: 9
http://www.numge2018.pt/

Publication series

NameNumerical Methods in Geotechnical Engineering
Volume9

Conference

ConferenceNUMGE 2018: 9th European Conference on Numerical Methods in Geotechnical Engineering
Abbreviated titleNUMGE 2018
CountryPortugal
CityPorto
Period25/06/1827/06/18
Internet address

Fingerprint Dive into the research topics of '3D slope stability analysis with spatially variable and cross-correlated shear strength parameters'. Together they form a unique fingerprint.

  • Cite this

    Varkey, D., Hicks, M., & Vardon, P. (2018). 3D slope stability analysis with spatially variable and cross-correlated shear strength parameters. In A. S. Cardoso, J. L. Borges, P. A. Costa, A. T. Gomes, J. C. Marques, & C. S. Vieira (Eds.), Proceedings of the 9th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2018) (pp. 543-548). (Numerical Methods in Geotechnical Engineering; Vol. 9). CRC Press / Balkema.