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Analytical determination of the soil temperature distribution and freezing front position for linear arrangement of freezing pipes using the undetermined coefficient method.

Authors :
Zhang, Song
Yue, Zurun
Sun, Tiecheng
Zhang, Jiwei
Huang, Baolong
Source :
Cold Regions Science & Technology. May2021, Vol. 185, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

When on-site tests are performed in artificial ground freezing projects, the conventional analytical method for determining the soil temperature field often presents significant error under certain conditions, particularly when the temperature-measuring pipe is far removed from the freezing front. This paper proposes a new method—called the undetermined coefficient method (UCM)—that more accurately predicts the actual soil temperature field and position of the freezing front. The UCM comprises a new mathematical formula developed based on a series of model tests performed under three different conditions—no seepage, constant seepage, and sudden seepage—and a multiple data regression analysis-based method for determining the coefficients in the developed formula. The proposed UCM was compared to a conventional analytical method based on the results from model tests and from the construction of the cross-channel of Guangzhou Metro Line 11. The results indicated that the UCM presented higher stability and practical value than conventional alternatives and could accurately predict the actual soil temperature field and position of the freezing front. Therefore, the UCM is expected to be of high practical value in artificial ground-freezing operations. • A novel analytical method—the undetermined coefficient method (UCM)—is proposed. • A model test about different seepage condition was carried out. • The UCM can be applied to real large-scale artificial ground freezing operations. • The optimal measurement point positions in UCM were determined. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0165232X
Volume :
185
Database :
Academic Search Index
Journal :
Cold Regions Science & Technology
Publication Type :
Academic Journal
Accession number :
149292051
Full Text :
https://doi.org/10.1016/j.coldregions.2021.103253