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Volume 36 Issue 5
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WANG Xin-gang, HU Bin, LIAN Bao-qin, YAN Jian-long, XU Zhang-jian, ZHAO Zhi-hai. Modified nonlinear viscoelastic-plastic rheological model and parameter identification of shear rheological model for granite[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(5): 916-921. DOI: 10.11779/CJGE201405016
Citation: WANG Xin-gang, HU Bin, LIAN Bao-qin, YAN Jian-long, XU Zhang-jian, ZHAO Zhi-hai. Modified nonlinear viscoelastic-plastic rheological model and parameter identification of shear rheological model for granite[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(5): 916-921. DOI: 10.11779/CJGE201405016
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Modified nonlinear viscoelastic-plastic rheological model and parameter identification of shear rheological model for granite

  • 1. Northwest Research Institute of Engineering Investigation and Design, Xi'an 710003, China; 2. Department of Engineering, China University of Geosciences, Wuhan 430074, China

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  • Received Date: August 05, 2013
  • Published Date: May 20, 2014
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    • Abstract
  • Two kinds of dry and saturated shear rheological tests are carried out on the granite in Bangpu mining area of Tibet. According to the test results, the shear rheological properties of granite are analyzed. Based on the mechamical state characteristics of granite at accelerative shear rheological stage, an improved nonlinear viscoelasto-plastic rheological model is proposed. The core of this model mainly consists of Kelvin of (conditions for judging shear stresses) and modified nonlinear Newton components of (conditions for judging strain value). This model is able to reflect the rock rheological law under shear stress loads with different levels. By using the proposed model, the nonlinear characteristics of rocks at accelerative rheological stage can be well and resonably demonstrated. Parameter identification is carried out for the shear rheological text results of the granite in Bangpu mining area of Tibet. The obtained theoretical curves of modified nonlinear viscoelastic-plastic rheological model agree with the test data. The proposed model is validated to be correct and reasonable.
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    • References (14)
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