Prediction method for peak particle vibration velocity of column charge blasting

A technology of peak velocity and blasting vibration, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of not being able to reflect columnar blasting vibration, and cannot satisfy the refined prediction and control of blasting vibration, and achieve accurate and effective Targeted prediction and control, and the effect of optimized design

Active Publication Date: 2016-03-09
HUAQIAO UNIVERSITY
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Problems solved by technology

[0002] At present, the attenuation of the peak velocity of the blasting vibration particles of the columnar charge is mainly predicted and controlled by a method similar to the concentrated blasting method. This peak velocity prediction method, which m...

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  • Prediction method for peak particle vibration velocity of column charge blasting
  • Prediction method for peak particle vibration velocity of column charge blasting
  • Prediction method for peak particle vibration velocity of column charge blasting

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Embodiment Construction

[0029] A method for predicting the peak velocity of a columnar charge blasting vibration particle in the present invention, specifically comprising the following steps:

[0030] Step 1. Combining the existing experimental and simulation results, it is found that the length of the charge in columnar blasting has a certain influence on the peak velocity of particle vibration. It is determined that the attenuation of the peak velocity generally conforms to the Sadovsky formula, and the columnar blasting is set by introducing the factor affecting the length of the charge. The peak velocity decay function is as follows:

[0031] PPV C = f K ( Q 1 / 3 r ) α

[0032] of which PPV C is the pa...

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Abstract

The invention discloses a prediction method for peak particle vibration velocity of column charge blasting. On the basis of existing spherical charge blasting vibration theory and stress wave superposition principle, axial detonation velocity influence of charge blasting is considered; a column charge is decomposed into a short column charge with the axial length of d; blasting vibration characteristics of the short column charge are mainly obtained through an Heelan solution; a theoretical solution of blasting vibration of a long column charge is compared with a Sadaovsk formula; and a length influence factor of the charge is introduced in the Sadaovsk formula to calculate the peak particle vibration velocity of column charge blasting. According to the method, the influence of the charge length in column charge blasting on the peak particle vibration velocity is considered, an attenuation relationship of the peak velocity along with a horizontal distance is given out, and the prediction and control of column charge blasting vibration can be realized; and corresponding charge length capable of maximizing the peak particle velocity can be obtained through a calculation model, so that the column charge blasting design can be subjected to peak velocity safety evaluation.

Description

technical field [0001] The invention relates to the field of blasting vibration safety, in particular to a method for predicting the peak velocity of blasting vibration particles of a columnar charge. Background technique [0002] At present, the attenuation of the peak velocity of the blasting vibration particles of the columnar charge is mainly predicted and controlled by a method similar to the concentrated blasting method. This peak velocity prediction method, which mainly considers the influence of the total charge of the charge, cannot reflect the characteristics of the columnar blasting vibration. It has been increasingly unable to meet the engineering requirements for fine prediction and control of blasting vibration. Contents of the invention [0003] The main purpose of the present invention is to overcome the above-mentioned defects in the prior art, and propose a particle peak velocity prediction method that can more comprehensively reflect the characteristics ...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/17
Inventor 陈士海吴建张子华
Owner HUAQIAO UNIVERSITY
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