The Inversion Method Applied to the Stress Field around a Deeply Buried Tunnel Based on Surface Strain
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- @Article{yan:2023:AS,
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author = "Xiaobing Yan and Qiqi Hao and Rui Yang and
Jianyu Peng and Fengpeng Zhang and Sanyuan Tan",
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title = "The Inversion Method Applied to the Stress Field
around a Deeply Buried Tunnel Based on Surface Strain",
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journal = "Applied Sciences",
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year = "2023",
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volume = "13",
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number = "22",
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pages = "Article No. 12507",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2076-3417",
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URL = "https://www.mdpi.com/2076-3417/13/22/12507",
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DOI = "doi:10.3390/app132212507",
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abstract = "To identify the magnitude and direction of in situ
stress in deeply buried tunnels, an inversion method
for the stress field was proposed based on a finite
number of measurement points of surface strain.
Firstly, elastic strain data of finite points on the
surface of tunnel surrounding rock were acquired using
the borehole stress relief method at the engineering
site. Secondly, a finite element model of the tunnel
surrounding rock with plastic damage was established,
and the parameters of the finite element model were
substituted using the SIGINI subroutine. Then, an
improved Surrogate Model Accelerated Random Search
(SMARS) was developed using genetic algorithm
programming on the MATLAB(TM) platform to invert and
attain the globally optimal boundary conditions.
Finally, the obtained optimal boundary conditions were
applied to the numerical model to calculate the stress
distribution in the engineering site. The reliability
of this method was validated through a
three-dimensional example. The method has been
successfully applied to the stress-field analysis of
deep tunnels in Macheng Iron Mine, Hebei Province,
China. The research results show that this method is a
low-cost, reliable approach for stress-field inversion
in the rock around a tunnel.",
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notes = "also known as \cite{app132212507}",
- }
Genetic Programming entries for
Xiaobing Yan
Qiqi Hao
Rui Yang
Jianyu Peng
Fengpeng Zhang
Sanyuan Tan
Citations