Soil-Rock Mixture Meso-Structure Modeling for Elastic Modulus Accuracy
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Solution Overview
Problem
Traditional macroscopic analysis methods fail to consider the meso-structural characteristics of soil-rock mixtures, leading to inaccuracies in determining elastic modulus due to their inhomogeneity, discontinuity, and environmental dependence, which affects engineering design and construction.
Innovation Solution
A calculation method for the elastic modulus of soil-rock mixtures based on a mesoscopic structure model, involving a screening test to obtain particle gradation, constructing a two-dimensional random meso-structure model, performing biaxial compression tests, and fitting a binary quadratic polynomial regression model to determine the macroscopic equivalent elastic modulus considering stone content and confining pressure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional macroscopic analysis method is used to determine elastic modulus, then the analysis process is simple, but it cannot consider the internal meso-structure characteristics and has high randomness
Solution Approach 1:
The patent segments the soil-rock mixture into discrete particles with different sizes, shapes, and material properties. The meso-structure model divides the continuous material into individual soil particles and rock particles, allowing separate analysis of each component's contribution to the overall elastic modulus. This segmentation enables consideration of particle-level characteristics that macroscopic methods average out.
Solution Approach 2:
The patent creates a numerical copy (meso-structure model) of the actual soil-rock mixture that replicates its particle size distribution, shape characteristics, and spatial arrangement. This virtual model allows repeated testing and analysis without disturbing the actual material, enabling precise determination of elastic modulus through numerical experiments rather than limited physical tests.
2Measurement precision
If meso-structure model is used to consider internal structure characteristics, then the accuracy of mechanical parameters is improved, but the calculation complexity increases
Solution Approach 1:
The patent systematically varies key parameters such as stone content, particle size distribution, confining pressure, and particle shape factors in the meso-structure model. By changing these parameters and observing their effects on elastic modulus, the model captures the complex behavior of soil-rock mixtures under different conditions. The regression model then condenses these parameter relationships into a practical calculation tool.
Solution Approach 2:
The patent assigns different material properties to different particle types within the meso-structure model. Soil particles and rock particles have distinct elastic moduli, densities, and strength characteristics. This local differentiation allows the model to capture the heterogeneous nature of soil-rock mixtures, where local particle arrangements and material properties significantly influence overall mechanical behavior.
3Ease of manufacture
If correction coefficient method is used to determine mechanical parameters, then the testing process is simple, but the results have great randomness and cannot describe internal structure influence
Solution Approach 1:
The patent performs preliminary numerical tests using the meso-structure model to establish the relationship between stone content, confining pressure, and elastic modulus before actual engineering applications. The regression model is calibrated in advance through systematic numerical experiments, so that when applied to practical projects, engineers can directly obtain reliable results without conducting extensive physical tests for each specific case.
Data Source
AI summary
The invention provides a calculation method for the elastic modulus of a soil-rock mixture based on a mesoscopic structure model, relevant to the field of meso-numerical simulation of geotechnical materials. It includes the following steps: obtaining the gradation curve of soil-rock mixture particles through a screening test and constructing a two-dimensional random meso-structure model of the mixture with varying stone contents. Using the finite element method, a biaxial compression numerical test is conducted on the model under different stone contents and confining pressures. The equivalent elastic modulus of the mixture is determined by the corresponding secant elastic modulus at an axial strain of 1%. This macro-equivalent elastic modulus, considering stone content and confining pressure, is then fitted. This method effectively addresses the challenge of presenting accurate physical and mechanical parameters in engineering design and construction, making it directly applicable to practical engineering involving soil-rock mixture materials.