Boundary discrimination algorithm-based numerical value molding method of mixture

Abstract

The invention discloses a boundary discrimination algorithm-based numerical value molding method of a mixture. The method comprises: constructing a numerical value particle library; using methods of gravitational putting and wall loading compaction to mold a coarse aggregate contour skeleton of a mixture specimen; calibrating an upper boundary, a lower boundary, a left boundary and a right boundary of the coarse aggregate skeleton; traversing each point position in the specimen on the basis of a boundary discrimination algorithm, judging whether the position is outside particles, and molding fine aggregate particles; using a boundary sieving and removing algorithm; and identifying and dividing a coarse aggregate and a fine aggregate, and assigning microscopic parameters. According to the method, judgment of a hollow coarse aggregate skeleton area with a very irregular shape is completed through left and right boundary discrimination, gravitationally putting the coarse aggregate skeleton is combined with judging and generating the fine aggregate in situ, thus a goal of fast molding the high compactness specimen is achieved, and existing defects that compaction of gravitational putting cannot achieve a high compactness state and generating the fine aggregate in situ is longer in time are solved.

Description

technical field [0001] The invention relates to road engineering, in particular to a method for numerically forming a mixture based on a boundary discrimination algorithm. Background technique [0002] In the numerical discrete simulation test of road engineering, it is first necessary to generate numerical specimens. Whether it is asphalt mixture, cement stabilized or crushed stone materials, there are many coarse aggregate particles with large particle sizes and fine aggregate particles with small particle sizes. material, cement particles. [0003] In the current road engineering numerical simulation experiment method, there are generally two methods for generating the numerical model of coarse-fine mixture. One is to generate all discrete units in the specimen, and divide all discrete units into coarse aggregate and aggregate through cutting discrimination. For fine aggregates, this method is highly random, and the shape fitting of coarse aggregates is extremely inaccur...

AI Technical Summary

Problems solved by technology

[0003] In the current road engineering numerical simulation experiment method, there are generally two methods for generating the numerical model of coarse-fine mixture. One is to generate all discrete units in the specimen, and divide all discrete units into coarse aggregate and aggregate through cutting discrimination. For fine aggregates, this method is highly random, and the shape fitting of coarse aggregates is extremely inaccurate, and it takes time and effort to generate all discrete units in the specimen; the second is to inject particles by gravity, and actually simulate the process of particle falling and compaction. This method has certain advantages in simulating the rotation of the particles before forming and determining the final shape and rotation angle of the particles in the test piece, but there are major defects in the method of gravity delivery and wall loading, which are also known to relevant technical personnel, namely It is very difficult to compact the specimens mixed with coarse and fine aggregates formed by gravity feeding to the specified compact state. The specimens with low density can be fed by gravity, but the specimens with high density cannot be completed by gravity feeding.

[0004] This is because when there are coarse and fine aggregates or cementing materials in the specimen, it is difficult to control the probability of feeding if gravity is used, and some coarse aggregates will first form an embedded structure, and it is difficult for fine aggregates or cementing materials to be added to form an embedded structure. In addition, it is different from the small amount of coarse aggregate. Because the particle radius of fine aggregate is extremely small and the amount is huge, the total time of falling is very long and the time cost is huge.

Images