Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment

Joint Authors

Li, Yajun
Qian, Cheng
Liu, Kang

Source

Advances in Civil Engineering

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-09-10

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Civil Engineering

Abstract EN

Site investigations are usually carried out in geotechnical engineering to track the range of design parameters.

Due to the inherent soil spatial variability and usually limited scope of site exploration programs, the design parameters are usually uncertain at locations where test samples are not taken.

This uncertainty often propagates to the response of geotechnical structures such as soil slopes.

This paper developed a conditional simulation framework to investigate the sampling efficiency (i.e., sampling location and sampling distance) in designing slopes in spatially varying soils.

A performance-based sampling efficiency index is proposed to achieve this.

It is found that the optimal location to take vertical samples are in the vicinity of slope crest to slope midpoint and the optimal distance within a limited exploration scope is such that the additional sample subdivides the influence domain to either side of the first vertical sample.

American Psychological Association (APA)

Li, Yajun& Qian, Cheng& Liu, Kang. 2019. Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment. Advances in Civil Engineering،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1117303

Modern Language Association (MLA)

Li, Yajun…[et al.]. Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment. Advances in Civil Engineering No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1117303

American Medical Association (AMA)

Li, Yajun& Qian, Cheng& Liu, Kang. Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment. Advances in Civil Engineering. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1117303

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1117303