SMT-GP method of prediction for ground subsidence due to tunneling in mountainous areas
Created by W.Langdon from
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- @Article{Li:2012:TUST,
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author = "Wen-Xiu Li and Ji-Fei Li and Qi Wang and Yin Xia and
Zhan-Hua Ji",
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title = "SMT-GP method of prediction for ground subsidence due
to tunneling in mountainous areas",
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journal = "Tunnelling and Underground Space Technology",
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volume = "32",
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month = nov,
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pages = "198--211",
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year = "2012",
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keywords = "genetic algorithms, genetic programming, Tunneling,
Ground subsidence, Engineering parameters",
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ISSN = "0886-7798",
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DOI = "doi:10.1016/j.tust.2012.06.012",
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URL = "http://www.sciencedirect.com/science/article/pii/S0886779812001228",
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size = "14 pages",
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abstract = "This paper introduces a new analysis method -
stochastic medium technique (SMT) combined with genetic
programming (GP) in the prediction of ground subsidence
due to tunnelling in mountainous areas. The methodology
involves the use of stochastic medium theory to
generate theory models and to predict ground subsidence
due to tunnelling in mountainous areas. The parameters
in the theory models which are optimised by genetic
programming. The use of the integrated methodology is
demonstrated via a case study in the prediction of
ground subsidence due to tunnelling in mountainous
areas in Hebei, North China. The results show that the
integrated stochastic medium technique - genetic
programming (SMT-GP) gives the smallest error on the
ground subsidence data when compared to traditional
finite element method. The SMT-GP method is expected to
provide a significant improvement when the ground
subsidence data come from mountainous areas. The
agreement of the theoretical results with the field
measurements shows that the SMT-GP is satisfactory and
the models and SMT-GP method proposed are valid and
thus can be effectively used for predicting the ground
surface subsidence due to tunneling engineering in
mountainous areas and urban areas.",
- }
Genetic Programming entries for
Wen-Xiu Li
Ji-Fei Li
Qi Wang
Yin Xia
Zhan-Hua Ji
Citations