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Ground oscillation velocity in relation to reduced distance for Hole B1 The regression curve for Hole B1 shown in Equation 2: (2) Where: v-ground oscillation velocity (mm / s), Rsv-reduced distance (m/kg1/3).
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The use of an explosive’s energy during blasting includes undesired effects on the environment. The seismic influence of a blast, as a major undesired effect, is determined by many national standards, recommendations and calculations where the main parameter is ground oscillation velocity at the field measurement location. There are a few approache...
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This research reports an identification of safety distance for ground vibration, which has an effect on different types of structures in the Northeast of Thailand by blasting method. The data were collected from the fieldwork in the Northeast of Thailand through ground vibration by blasting method. The research results show that the heavier the bla...
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... The test blast measurements used in this paper are performed for several parallel studies. First, we analyze the benefit of using a larger number of instruments in one measurement line [25], followed by measurement instruments positioned at distances that are of relevance; thus, the data is not extrapolated, because results achieved using extrapolation are at least questionable, if not erroneous [26]. This study is concerned with errors in the measurement data and how to detect them. ...
Blasting is an essential part of any mining or civil engineering project along with all the benefits that it brings, such as cost and time effectiveness, and safety. Still, there are a few downsides to blasting. Ground oscillation velocity as the most significant impact of blasting has been studied broadly. However, not all measured values should be used for PPV (peak particle velocity) predictor or model development. If a false measured value is included in the model or predictor development, it will provide erroneous results that can lead to the damage of the surrounding structures or an increase in the cost of blasting works. There is no clearly defined procedure for separating atypical values (outliers) within blast-induced seismic-effects measurement data. This paper recommends how to properly validate vibration velocity data by detecting and excluding atypical values and how it influences blast-induced seismic measurement results.
... Many authors have studied and proved that sensitivity of the human body to the blasting effects is more than 10 times greater than of sensitivity of the buildings [1][2]. By knowing the rock mass characteristics, status and type of potentially endangered structure, and blasting parameters, blasting works can be executed in a safe and secure way [3][4][5]. Controlling the seismic effects of blasting and reducing the negative effects are of great importance for the work safety and maintaining the regular production in open-pit mines [6][7][8]. Parameter for estimating of the seismic action of blasting, that is commonly used, represents the rock mass oscillation velocity. ...
... As the relation between rock mass oscillation velocity and the basic parameters that influence its magnitude, most often is used the M.A. Sadovskii equation where oscillation velocity v is given in the form o v = K R -n , (1) where R is reduced distance, that represents distance from the blasting site to monitoring site r, reduced to the total quantity of the explosive Q i.e. 3 Q r R . Parameters K and n are conditioned by characteristics of the rock mass and blasting conditions. ...
... Review of registered and calculated rock mass oscillation velocities for models[1][2][3][4][5] ...
As a way of exploitation in mining operation, mass blasting has the more application. However, usage the large amount of explosives leads to increasing the negative blasting effects. By the negative blasting effects, we mean seismic effect of blasting, sound effect, scattering of blasted rock mass, etc. In order to protect environment from shock when performing blasting it is necessary to define rock mass oscillation equation for each working site. This paper offers the analysis of the method for defining parameters of the oscillation equation. To define parameters in the rock mass oscillation equation, we have used five models. The first model represents a usual model – method of Least Squares. The second model is based on the quotient of the value of the equal number of experimental data of oscillation velocity and corresponding reduced distances. The third model is based on defining parameters of oscillation equation by applying Lagrange’s theorem. The fourth model is based on defining parameters for oscillation equation by applying the quotient of relative oscillation velocity increments and reduced distances. As the result of numerous measuring’s there has been noted that the value of one of the parameters in the oscillation equation is within the limits from 1 to 3, however most frequently from 1 to 2. On the basis of this as well as on the basis of oscillation equation characteristic, the value of one parameter was adopted. Thus, we got a new rock mass 292 oscillation equation which is now simpler, and we designated it as the fifth model. On the basis of calculation on concrete example of mass blasting, it has been stated that all mentioned models may be used in order to calculate rock mass oscillation velocity
The process of creating a slope in a rock mass using the excavation and blasting methods consistently leads to stress release in the rock mass, resulting in a certain level of fracture and disturbance. Blast-induced vibrations can also influence the quality of the rock mass remaining after the blasting, as well as the stability and bench damage monitoring (BDM) of mines. A damage factor (D) is included in the Hoek–Brown failure criterion to compute the disturbance of a rock mass in creating a slope. Choosing the value and thickness of the blast zone for the Hoek–Brown criterion is crucial in the safety analysis and BDM of mines. However, the selection is still a crucial technical challenge in this criterion. Employing nonlinear layering, the present study divides the rock mass behind a blast hole into several layers with decreasing D values applied to each layer. The numerical simulation was conducted using the FLAC finite difference software for bench vibration assessment and damage monitoring by checking the peak particle velocity (PPV) in the bench face with different geometries. Behind the blast hole, five different layers of D were considered through which the Hoek–Brown properties of the rock mass declined nonlinearly during the execution of the model. Since the disturbance threshold of PPV was assumed to be 120 mm/s, the toe and middle parts of the small benches were in the disturbance threshold, while for the medium and high benches, only the bench toe was within the disturbance threshold.
