Open AccessSampling Efficiency in Spatially Varying Soils for Slope Stability Assessment
Author(s) -
Yajun Li,
Qian Cheng,
Kang Liu
Publication year - 2019
Publication title -
advances in civil engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.379
H-Index - 25
eISSN - 1687-8094
pISSN - 1687-8086
DOI - 10.1155/2019/8267601
Subject(s) - sampling (signal processing) , crest , soil water , geotechnical engineering , sampling design , range (aeronautics) , midpoint , sample (material) , environmental science , geology , stability (learning theory) , slope stability , soil science , computer science , mathematics , engineering , geometry , population , filter (signal processing) , aerospace engineering , chemistry , sociology , chromatography , quantum mechanics , machine learning , computer vision , physics , demography
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.