Calculation of Peak Particle Velocity Caused by Blasting Vibration in Step Topography

Yang, Xi

doi:10.5614/j.eng.technol.sci.2018.50.6.1

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…Peak particle velocity (PPV) values from main boreholes based on smooth blasting are higher than that based on presplit blasting [8]. Besides being influenced by explosive charge [9][10][11][12], PPV is also influenced by step topography [13].…”

Section: Introductionmentioning

confidence: 99%

New Prediction Model of Blast-Induced PPV Based on Empirical Approach in Sedimentary Rock

Sujatono

2023

GEOMATE

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Prediction models of peak particle velocity (PPV) in blasting operation have been developed by many researchers, but all the previous researches mostly referred to the concepts of waves and rocks. There is not much development of PPV prediction model based on empirical approach that is specific in sedimentary rock blasting. This study aims to build a PPV prediction model in sedimentary rocks based on empirical and statistical approaches. The study was conducted on sedimentary rocks which have hardness ranging from 1 MPa to 5 MPa. The analysis used the monitoring result of PPV from blasting operation and statistical method to develop the PPV model. PPV model based on the U.S. Bureau of Mines (USBM) as a theoretical model was compared with PPV model based on field data as a proposed model. The PPV obtained from USBM model did not fit the rock characteristics based on the actual data, so a new model was proposed. The new model considers the distance between observation point and blast hole (D) and the quantity of explosive charge (Q) as independent variables. The new model has mean absolute percentage error (MAPE) of 25.50%, 1.72% better than that of the USBM model. By considering the explosive charge (Q) and the distance to observation point (D) in modeling with regression analysis, seismic velocity and rock mass density can be represented by sitespecific condition constants. The site-specific constants refer to rock constant and propagation constant, which are 5670.882 and 0.6269 in the new model that has been built.

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Section: Introductionmentioning

confidence: 99%

New Prediction Model of Blast-Induced PPV Based on Empirical Approach in Sedimentary Rock

Sujatono

2023

GEOMATE

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“…However, due to the abrupt nature of blasting events, some parameters are difficult to measure accurately. The existing methods for evaluating PPV are often based on a large amount of field test data and regression analysis using empirical formulas [ [17] , [18] , [19] ]. However, these empirical formulas usually only consider factors such as blasting distance and explosive charge.…”

Section: Introductionmentioning

confidence: 99%

Research on prediction of PPV in open-pit mine used RUN-XGBoost model

Sun,

Yang,

Yang

et al. 2024

Heliyon

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“…The impact of blasting vibration on surrounding buildings and water sources is highly valued by the local government. 3 In 2012, a cement plant in Guizhou province, implemented blasting operations, residents around mine have been reflecting that excessive blasting vibrations have caused serious damage to their houses, resulting in disputes. 4 Environmental law and policy in the People's Republic of China The Mineral Resources Law of the People's Republic of China stipulates that mining enterprises should protect their surrounding buildings (structures) from mining operations, 5 and to strengthen the development and utilization of mineral resources, guarantee the current and long-term needs of socialist modernization, and safeguard the safe operation and normal production of mines, there is an urgent need to research the prediction and control of blasting vibration hazards.…”

Section: Introductionmentioning

confidence: 99%

Blasting vibration hazard classification and prediction research

Zhang

Wang

Yang

et al. 2023

Advances in Mechanical Engineering

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This paper explores the hazard classification method of blasting vibration on nearby buildings. The ratio of the self-vibration frequency f0 of the protected buildings to the main vibration frequency f of blasting vibration and the ratio of the actual measured peak blasting vibration velocity to the permissible vibration velocity of blasting safety regulations are used as two indicators of the blasting vibration hazard classification method, the blasting vibration hazard index calculation formula was proposed, and the blasting vibration hazard was classified into four levels according to the blasting vibration hazard index. An open pit mine blasting project was used for monitoring, the collected data were processed by random forest method. After processing, bursting heart distance, the total explosive quantity required for one blast, the hole distance meter delay, and the row distance meter delay was selected as the input parameters; the optimal kernel function parameter gamma and c were applied to the SVR (Support Vector Regression) model by changing the search step to expand the parameter search, and improved GS-SVR (Grid Search-Support Vector Regression) model was constructed, through which peak blasting vibration velocity and vibration frequency values were predicted. The results show: improved GS-SVR is effective in predicting peak blasting vibration velocity, with the lowest relative error of 0.15% and the average error of 7.96%; the minimum relative error for the prediction of vibration frequency is 0.03% and the average error is 2.54%. The measured data in the literature of related scholars verified that the blasting vibration hazard classification method is scientific and feasible. It can provide reference and reference for blasting vibration hazard classification and prediction of similar blasting projects.

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Calculation of Peak Particle Velocity Caused by Blasting Vibration in Step Topography

Cited by 3 publications

References 12 publications

New Prediction Model of Blast-Induced PPV Based on Empirical Approach in Sedimentary Rock

New Prediction Model of Blast-Induced PPV Based on Empirical Approach in Sedimentary Rock

Research on prediction of PPV in open-pit mine used RUN-XGBoost model

Blasting vibration hazard classification and prediction research

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