基于PPR数据建模技术的砂砾石料应力应变规律拟合

doi:10.11896/cldb.21020115

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Abstract The constitutive relationship of soil is one of the important theories in geotechnical engineering, and the accurate description of its stress-strain relationship is the key problem of constitutive model. Based on the large-scale static triaxial test, this work studied the stress-strain relationship of two different graded gravel materials, used PPR non-hypothetical data modeling technology to model and fit the test results, and compared it with Duncan-Chang E-B hyperbolic model. The results show that PPR data modeling technology can better fit the stress-strain relationship of sand gravel under triaxial test. When the relative error between the calculated value and the test value is less than 6%, the qualified rate is more than 90%, and the maximum relative errors of deviatoric stress and volumetric strain are 13.2% and 20.9% respectively, which has higher accuracy than Duncan Chang hyperbolic model; PPR model can accurately describe the swelling characteristics of sand gravel in the process of shear, and has a good prediction function for the results of triaxial test. In this work, a data modeling method was proposed to represent the stress-strain relationship of soil. The research results provide a new idea for the description of the stress-strain relationship of geotechnical engineering materials.

Key words： sand and gravel material triaxial test stress-strain relationship data modeling technology projection pursuit regression(PPR)

Published: 10 July 2023 Online: 2023-07-10

CLC number:	TU41
	TU43

Fund:Natural Science Foundation of Xinjiang(2021D01A100) and the Scientific Research Project of State Key Laboratory of Water and Sediment Science and Water Conservancy and Hydropower Engineering(2018-KY-04).

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	Articles by authors
	YANG Haihua
	YANG Wu
	LIU Hanlong
	MA Junling
	WANG Jing

Cite this article:

YANG Haihua,YANG Wu,LIU Hanlong, et al. Fitting of Stress and Strain Law of Sand and Gravel Based on PPR Data Modeling Technology[J]. Materials Reports, 2023, 37(13): 21020115-6.

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http://www.mater-rep.com/EN/10.11896/cldb.21020115 OR http://www.mater-rep.com/EN/Y2023/V37/I13/21020115

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