The Application of Cubic Spline Interpolation Function in Determining Rock Rheological Long-Term Strength

Mo Li Zhao; Qiang Yong Zhang

doi:10.4028/www.scientific.net/AMM.580-583.205

Paper Titles

Study of Soil Structural Parameters Based on the Gunary Model
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Study on the Development of Plastic Zone Based on Strain Expressed Mohr- Coulomb Yield Condition
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Testing Study on the Effects of Water Content on Permeability for Coal
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The Application of Cubic Spline Interpolation Function in Determining Rock Rheological Long-Term Strength
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The Application of Vacuum Preloading Method in Soft Soil Foundation Underwater
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The Microstructure Formation Process Research in Loading Condition of Dredger Fill
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The Research on Mean Spacing of Rock Fracture
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The Research Review of Underground Continuous Wall on Deformation Characteristic
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 580-583The Application of Cubic Spline Interpolation...

The Application of Cubic Spline Interpolation Function in Determining Rock Rheological Long-Term Strength

Abstract:

The rheological long-term strength is determined according to the triaxial rheological test data of diabase at the dam area of Dagangshan Hydropower Station. Firstly, based on the stress-strain isochronous curve method and connected the test points with cubic spline interpolation function, the maximum deviation point in the long-term interval is determined as the turning point and established the long-term strength by nonlinear least square method. The results show that this method is consistent with the other methods. Finally, the advantage and disadvantage of this method is analyzed. This method can overcome the randomness of artificial selecting the turning points. Therefore, maximum deviation point method is relatively a reasonable and effective method to determine the rheological long-term strength of rock.

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Periodical:

Applied Mechanics and Materials (Volumes 580-583)

Pages:

205-208

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.580-583.205

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Online since:

July 2014

Authors:

Mo Li Zhao*, Qiang Yong Zhang

Keywords:

Cubic Spline Interpolation, Isochronous Curve Method, Maximum Deviation Point, Rheological Long-Term Strength, Rock Rheological Mechanics

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