Influence of spatial variability on geotechnical design decisions

2013 ◽  
pp. 167-214
Keyword(s):  
Spatial Variability ◽  
Design Decisions ◽  
Geotechnical Design

scholarly journals Selection of Standard Penetration Test Number for Geotechnical Investigation of a Vertical Cross-section Considering Spatial Variability and Correlation in Soil Properties

2021 ◽  
Author(s):  
Zheng Guan ◽  
Yu Wang
Keyword(s):  
Spatial Variability ◽  
Soil Properties ◽  
Cross Section ◽  
Site Investigation ◽  
Standard Penetration Test ◽  
Vertical Cross Section ◽  
Penetration Test ◽  
Geotechnical Design ◽  
Selection Of

Standard Penetration test (SPT) is a widely used in-situ test for characterizing variation of subsurface soil properties, and results of site investigation are usually simplified as a 2D vertical cross-section for subsequent geotechnical design and construction. Current geotechnical design codes and guidelines only provide general recommendations for selection of an appropriate number of in-situ tests (e.g., SPT) (e.g., the greater variability of subsurface conditions, the larger number of SPTs required to obtain sufficient underground information). No quantitative or rational method is available for selecting the appropriate number of SPTs considering spatial variability and correlation in subsurface conditions. A comprehensive parametric study is carried out in this study to investigate the influence of spatial variability in subsurface conditions on the minimum SPT number needed for satisfying an accuracy requirement of site investigation. Random field is adopted to model spatial variation and correlation in soil properties in typical site conditions, and 2D Bayesian compressive sampling is used to interpolate sparse SPT data. Based on the parametric study results, a statistical chart is developed for geotechnical engineers to conveniently select appropriate number of SPTs in a vertical cross-section. Real SPT data from New Zealand are used to illustrate and validate the proposed method.

Spatial variability induces generalization in contextual cueing.

2020 ◽  
Vol 46 (12) ◽  
pp. 2295-2313
Author(s):  
Yoko Higuchi ◽  
Yoshiyuki Ueda ◽  
Kazuhisa Shibata ◽  
Jun Saiki
Keyword(s):  
Spatial Variability ◽  
Contextual Cueing

Computers before silicon: design decisions on Edsac

IEE Review ◽  
1990 ◽  
Vol 36 (11) ◽  
pp. 429 ◽  
Author(s):  
Maurice V. Wilkes
Keyword(s):  
Design Decisions

Spatial variability in responses to environmental conditions in Southern Hemisphere long-finned pilot whales

2019 ◽  
Vol 629 ◽  
pp. 207-218 ◽  
Author(s):  
V Hamilton ◽  
K Evans ◽  
B Raymond ◽  
E Betty ◽  
MA Hindell
Keyword(s):  
Spatial Variability ◽  
Southern Hemisphere ◽  
Environmental Conditions ◽  
Pilot Whales
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