Uncertainty reduction and sampling efficiency in slope designs using 3D conditional random fields

Li, Y.; Hicks, M.A.; Vardon, P.J.

doi:10.1016/j.compgeo.2016.05.027

Uncertainty reduction and sampling efficiency in slope designs using 3D conditional random fields

Title

Uncertainty reduction and sampling efficiency in slope designs using 3D conditional random fields

Author

Li, Y. (TU Delft Geo-engineering)
Hicks, M.A. (TU Delft Geo-engineering)
Vardon, P.J. (TU Delft Geo-engineering)

Date

2016-10-01

Abstract

A method of combining 3D Kriging for geotechnical sampling schemes with an existing random field generator is presented and validated. Conditional random fields of soil heterogeneity are then linked with finite elements, within a Monte Carlo framework, to investigate optimum sampling locations and the cost-effective design of a slope. The results clearly demonstrate the potential of 3D conditional simulation in directing exploration programmes and designing cost-saving structures; that is, by reducing uncertainty and improving the confidence in a project's success. Moreover, for the problems analysed, an optimal sampling distance of half the horizontal scale of fluctuation was identified.

Subject

Conditional random fields
Kriging
Reliability
Sampling efficiency
Spatial variability
Uncertainty reduction

To reference this document use:

http://resolver.tudelft.nl/uuid:fecf79e7-5772-4a88-8745-22d8c6385042

DOI

https://doi.org/10.1016/j.compgeo.2016.05.027

Embargo date

2018-10-31

ISSN

0266-352X

Source

Computers and Geotechnics, 79, 159-172