Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment

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 ta...

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Main Authors: Yajun Li, Cheng Qian, Kang Liu
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2019/8267601
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author Yajun Li
Cheng Qian
Kang Liu
author_facet Yajun Li
Cheng Qian
Kang Liu
author_sort Yajun Li
collection DOAJ
description 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.
format Article
id doaj-art-2245f42a0d2c4e858ac83b85c9211ff5
institution Kabale University
issn 1687-8086
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language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-2245f42a0d2c4e858ac83b85c9211ff52025-02-03T05:57:28ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/82676018267601Sampling Efficiency in Spatially Varying Soils for Slope Stability AssessmentYajun Li0Cheng Qian1Kang Liu2School of Engineering and Technology, China University of Geosciences (Beijing), Beijing, ChinaSchool of Engineering and Technology, China University of Geosciences (Beijing), Beijing, ChinaSchool of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei, ChinaSite 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.http://dx.doi.org/10.1155/2019/8267601
spellingShingle Yajun Li
Cheng Qian
Kang Liu
Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment
Advances in Civil Engineering
title Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment
title_full Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment
title_fullStr Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment
title_full_unstemmed Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment
title_short Sampling Efficiency in Spatially Varying Soils for Slope Stability Assessment
title_sort sampling efficiency in spatially varying soils for slope stability assessment
url http://dx.doi.org/10.1155/2019/8267601
work_keys_str_mv AT yajunli samplingefficiencyinspatiallyvaryingsoilsforslopestabilityassessment
AT chengqian samplingefficiencyinspatiallyvaryingsoilsforslopestabilityassessment
AT kangliu samplingefficiencyinspatiallyvaryingsoilsforslopestabilityassessment