Spatial correlation length of normalized cone data in sand: case study in the north of Denmark-Reference-Cited by-同舟云学术

Spatial correlation length of normalized cone data in sand: case study in the north of Denmark

Published:2014-08 Issue:8 Volume:51 Page:844-857
ISSN:0008-3674
Container-title:Canadian Geotechnical Journal
language:en
Short-container-title:Can. Geotech. J.

Author:

Firouzianbandpey S.¹,Griffiths D.V.²,Ibsen L.B.¹,Andersen L.V.¹

Affiliation:

1. Department of Civil Engineering, Aalborg University, 9000 Aalborg, Denmark.

2. Department of Civil and Environmental Engineering, Colorado School of Mines, 80401 Golden, CO, USA, and Australian Research Council Centre of Excellence for Geotechnical Science and Engineering, University of Newcastle, Callaghan NSW 2308, Australia.

Abstract

The main topic of this study is to assess the anisotropic spatial correlation lengths of a sand layer deposit based on cone penetration testing with pore pressure measurement (CPTu) data. Spatial correlation length can be an important factor in reliability analysis of geotechnical systems, yet it is rarely estimated during routine site investigations. Results from two different sites in the north of Denmark are reported in this paper, indicating quite strong anisotropy due to the depositional process, with significantly shorter spatial correlation lengths in the vertical direction. It is observed that the normalized cone resistance is a better estimator of spatial trends than the normalized friction ratio.

Publisher

Canadian Science Publishing

Subject

Civil and Structural Engineering,Geotechnical Engineering and Engineering Geology

Link

http://www.nrcresearchpress.com/doi/pdf/10.1139/cgj-2013-0294

Reference19 articles.

1. Estimating Autocovariance of In‐Situ Soil Properties

2. An overview of soil heterogeneity: quantification and implications on geotechnical field problems

3. Simplified geostatistical analysis of earthquake-induced ground response at the Wildlife Site, California, U.S.A

4. Random Field Modeling of CPT Data

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