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Inverse Analysis of Strata in Seepage Field Based on Regularization Method and Geostatistics Theory.

Authors :
Zhang, Fansheng
Dong, Lianglin
Wang, Hongbo
Zhong, Ke
Zhang, Peiyuan
Jiang, Jinyan
Source :
Buildings (2075-5309); Apr2024, Vol. 14 Issue 4, p946, 20p
Publication Year :
2024

Abstract

During the construction of underground engineering, the prediction of groundwater distribution and rock body permeability is essential for evaluating the safety of the project and guiding subsequent design and construction. This article proposes an objective function that solves an underdetermined inverse analysis problem based on the least-squares theory and regularization method and uses geostatistics theory and the variogram function to describe the spatial characteristics of the actual engineering system. It also establishes an optimization model of the analysis stratum seepage field and puts forward the method of using on-site test observation data to solve the stratum penetration coefficient. Relying on the foundation pit project of the Lingshanwei Station of Qingdao Metro, the on-site pumping and packer permeability test was conducted for different strata venues in the foundation pit, and the on-site water-head observation value was obtained. Physical detection of the influence area of foundation pit excavation confirms the correctness of the model from the region and verifies the accuracy of the model on the value through the on-site pumping test. Results show that the accuracy of the use of this objective function to solve the underdetermined inverse problem is above 85%, which proves the effectiveness of the method. The stratigraphic geological information obtained by the inverse analysis model provides an important basis for engineering design and security construction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20755309
Volume :
14
Issue :
4
Database :
Complementary Index
Journal :
Buildings (2075-5309)
Publication Type :
Academic Journal
Accession number :
176881437
Full Text :
https://doi.org/10.3390/buildings14040946