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

Author:

Zhang Fansheng1,Dong Lianglin12,Wang Hongbo1ORCID,Zhong Ke3,Zhang Peiyuan4,Jiang Jinyan4

Affiliation:

1. College of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao 266590, China

2. China Railway 20th Bureau Second Engineering Co., Ltd., Xi’an 710016, China

3. China Railway Second Bureau Group Limited, Chengdu 610031, China

4. Qingdao West Coast Rail Transit Co., Ltd., Qingdao 266000, China

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.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

MDPI AG

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