JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2011, Vol. 41 ›› Issue (4): 133-136.

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Rapid feedback analysis method for underground caverns during constructing

WANG Gang1, 2, JIANG Yu-jing2, LI Shucai3   

  1. 1. Shandong Provincial Key Laboratory of Civil Engineering Disaster Prevention and Mitigation,
    2. Key Laboratory of Mine Disaster Prevention and Control, Shandong University of
    Science and Technology, Qingdao 266510, China;
    3. Geotechnical and Structural Engineering Research Center, Shandong University, Jinan 250061, China
  • Received:2011-04-08 Online:2011-08-16 Published:2011-04-08

Abstract:

 It is impossible to obtain complete field data in the underground engineering; for example, information on stresses, properties and etc. can only be partially known. The back-analysis is oriented toward makes relatively little site-specific data to give the most helps to geotechnical engineering. The key factors affecting the back-analysis results were detailedly investigated, especially the authenticity of input data, the adaptability of computation model and the reliability of the computation result. The orthogonal experimental method was used to performing a successful devise for numerical experiments. The layered range optimizing method was established to assemble uncertain problem-specific parameters. Considering the geological characteristics of underground engineering, the measurement data and the interval analysis method, the rapid feedback method for huge underground houses was established during constructing. The spectrum of back-analysis was also brought forward. Analyzing the deformation law of underground engineering structures in process of construction, the sufficient feedback experiments can produce relevant rock parameters, which help to optimizing subsequent engineering construction process. As enough data of a high quality are available, the feedback can give good predictions.

Key words:  underground engineering, informative construction, interval analysis, orthogonal experimental design, regression analysis

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