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Estimation of the volume of a rock layer using kriging method for energy efficient excavationopen access

Authors
Zhuang, HuaKim, JeonghwanLee, SoominSeo, Jongwon
Issue Date
Sep-2020
Publisher
Sustainable Building Research Center
Keywords
Excavation; Interpolation; Kriging method; Rock layer
Citation
International Journal of Sustainable Building Technology and Urban Development, v.11, no.3, pp.174 - 190
Indexed
SCOPUS
Journal Title
International Journal of Sustainable Building Technology and Urban Development
Volume
11
Number
3
Start Page
174
End Page
190
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/1753
DOI
10.22712/susb.20200013
ISSN
2093-761X
Abstract
It is proven fact that the efficiency of earthwork hugely affects the overall infrastructure construction project in terms of cost and time. Accuracy of earthwork estimation, especially the estimation of a rock layer directly affects the overall productivity since rock layer excavation requires additional rock breaking process to break down the rock layer into manageable smaller pieces. In order to make a decision on the construction method in the construction area, earthwork engineers must have an intuitive understanding of the distribution of underground rock strata. The only available way to estimate rock layers is acquiring boring data from an actual earthwork site and interpolate each layer. Accurate modeling of the rock layer is of utmost important process during earthwork estimation for planning energy efficient excavation. This study used Kriging interpolation, as an important research content of geological three-dimensional visualization to accurately create rock layer. Kriging interpolation not only considers the spatial relationship between variables, but also takes into account the structural and stochastic characteristics of variables, so that it can fully represent the structural information of regionalized variables. The accuracy of rock mass calculation is analyzed by means of actual dataset from a test site, and it showed that the accuracy of Kriging-based model excels the original model. ? International Journal of Sustainable Building Technology and Urban Development.
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서울 공과대학 > 서울 건설환경공학과 > 1. Journal Articles

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