Blasting lumpiness measuring method based on photogrammetry and particle contact theory

Abstract

The invention provides a blasting lumpiness measuring method based on photogrammetry and a particle contact theory, which comprises the following steps: Step 1, randomly selecting a rock sample from the blasted pile rock, and filling at least three containers; Step 2, vibrating and compacting the rock samples to form a test piece container; Step 3, respectively photographing the side surface of each test piece container to obtain a side surface projection image of the rock sample, and selecting a geometric characteristic parameter for measuring the rock lumpiness; carrying out lumpiness statistics on the particle size range to be solved to obtain the rock lumpiness condition; Step 4, measuring the void volume of the rock in each test piece container, and calculating the corresponding voidratio and the volume of the rock; Step 5, establishing a relation curve N1 between the void ratio and the rock lumpiness; and Step 6, establishing a relation curve N2 between the rock volume and the void ratio, then predicting the void ratio of the blasted pile rock under the same vibration compaction condition after blasting according to the total volume of the rock before blasting based on the curve N2, and estimating the rock lumpiness of the blasted pile rock according to the curve N1.

Description

technical field [0001] The invention belongs to the technical field of water conservancy and hydropower engineering, and in particular relates to a method for measuring blast fragmentation based on photogrammetry and particle contact theory. Background technique [0002] Blasting excavation is the most basic construction process in water conservancy and hydropower engineering, mining, transportation and other fields. Along with the progress of rock blasting excavation, a large amount of blasting gravel is formed. The effect of ore blasting directly affects the efficiency of follow-up processes such as mine production, dam excavation construction, and infrastructure construction, such as shoveling, transportation, and secondary crushing. It provides guidance on key issues such as mechanism, determination of mining plan, ore dressing, ore drawing, and provides a basis for blasting parameter adjustment, network optimization, and charge structure improvement. [0003] Usually, ...

AI Technical Summary

Problems solved by technology

The relevant data measurement method can only obtain a relatively single evaluation index for the rock fragmentation of the blasting pile, which cannot reflect the distribution of the fragmentation of the blasting pile well; the calculation and simulation tends to use the existing theory to derive and establish a reflection of complex transient blasting. At present, the empirical distribution function method is relatively successful, but the application range is limited by the site, and it is costly and labor-intensive.

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