Multi-factor two-dimensional soil-rock mixture generation method based on ellipse stacking and random field

Abstract

The invention relates to a method for generating a multi-factor two-dimensional soil-rock mixture based on an ellipse stack and a random field, belonging to the field of morphological simulation and numerical calculation. The method comprises the following steps: S1: acquiring information of earth-rock mixture generation, acquiring real block information based on digital imaging and digital imageprocessing, S2: randomly generating virtual block stones, and generating random block stones satisfying real morphological characteristics based on real block theory. S3: Generating polygons satisfying real blocks at the same time. S4: According to step 2, geneating a random virtual block stone satisfying the stone content and not overlapping with each other in the polygon of step S3, and finallygenerating a multi-factor earth-rock mixture model capable of simultaneously satisfying the block stone. S5: integrating Steps S1-S4 into a software, which only needs to provide the image and size information of the earth-rock mixture to generate the earth-rock mixture model according with the actual law. The invention solves the generation and calculation problems of the multi-factor earth-rock mixture which can not simultaneously satisfy the true stone content, gradation, inclination angle, long-axis ratio and the shape of the block stone.

Description

technical field [0001] The invention belongs to the field of form simulation and numerical calculation, and relates to a method for generating a multi-factor two-dimensional soil-rock mixture based on ellipse stacking and random fields. Background technique [0002] Soil-rock mixtures widely exist in nature and engineering construction, and their properties are between soil and fractured rock mass. Soil-rock mixtures are composed of high-strength blocks with a certain engineering scale, distributed in low-strength fine-grained matrix soil Among them, it constitutes an extremely inhomogeneous (inhomogeneous) loose rock-soil medium system. The threshold of soil and rock is 5% of the engineering size (the tunnel is the tunnel diameter, and the slope is the slope height of the slope). The extreme physical property difference between soil and rock and the non-uniform characteristics of the space composition of the soil-rock mixture make the actual soil-rock mixture Geotechnical ...

AI Technical Summary

Problems solved by technology

[0004] There are few existing methods for generating soil-rock mixtures, and in analysis and research, soil-rock mixtures are often considered as homogeneous media, or digital images and CT scans are used to generate real mixture models , but the digital image needs to expose the earth-rock mixture stratum, and the CT scanning method is limited by the size and the cost is high

Although some scholars have used random generation methods to generate random soil-rock mixture numerical models, they can only generate polygonal blocks with a single shape, and can only consider stone content and gradation, and cannot fully reflect the stone content of block stones at the same time. , gradation, long-axis ratio, dip angle, block shape and other factors

Therefore, the generated soil-rock mixture model is difficult to accurately reflect the engineering deformation and mechanical characteristics of complex soil-rock mixture

[0005]1 The cost of the real soil-rock mixture model is high, and the model size is limited

[0006]The real mixture model is derived from digital image processing of CT images or photos of real soil-rock mixtures. Due to the high cost of CT scanning and the limitation of size, real The photos need to expose the soil-rock mixture stratum, which requires a lot of labor, difficult (or almost impossible) operation, and high time and economic costs. Therefore, it is difficult to obtain a real soil-rock mixture model, and it is also difficult to be used in practical applications.

[0007]2. The block shape of the random soil-rock mixture model is polygonal, which cannot reflect the real block

[0008]The current soil-rock mixture model is a multi-position random soil-rock mixture model, but the rocks are polygonal or conventional circles, rectangles, etc., which are difficult to reflect the real rock surface shape

[0009]3. The random soil-rock mixture cannot satisfy the actual rock content, rock gradation, long-axis ratio, dip angle, and spatial distribution at the same time

[0010]The existing random soil-rock mixture model cannot simultaneously satisfy the rules of rock content, rock gradation, long-axis ratio, inclination, and spatial distribution. It will greatly limit the application range of the generated soil-rock mixture, and will also cause a huge difference between it and the real soil-rock mixture model

[0011]4. The generation method of random soil-rock mixture is complex and inefficient

[0012]And the current method adopts a circular iterative algorithm in which blocks are continuously added to a single space. As the number of blocks increases, the difficulty of placing blocks and the efficiency of algorithm execution will continue to decrease. And it is difficult to generate soil-rock mixture with high stone content

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