2021
DOI: 10.3390/s21041290
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Issues of Data Acquisition and Interpretation of Paraseismic Measuring Signals Triggered by the Detonation of Explosive Charges

Abstract: The paper tackles the issues of data acquisition during the measuring of vibrations caused by the detonation of explosive charges in various types of works (blasting in mines, demolition works, tunneling). Depending on the placement of an explosive charge (a charge detonated on the surface or a charge placed in a hole), it triggers side effects in the form of mechanical vibrations, which are propagated in the environment and may pose a hazard to buildings. In the case of propagation in the air, there is an aco… Show more

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Cited by 5 publications
(2 citation statements)
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References 23 publications
(22 reference statements)
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“…In a narrow sense, quality data refers to the data related to product quality, such as qualification rate, number of defective products, repair rate, and straight through rate. It has prominent volatility and can be collected through simple random sampling and full inspection [5]. Kinigstein and others designed the data acquisition scheme of electric energy meter based on the combination of power line carrier and wireless communication technology [6].…”
Section: Introductionmentioning
confidence: 99%
“…In a narrow sense, quality data refers to the data related to product quality, such as qualification rate, number of defective products, repair rate, and straight through rate. It has prominent volatility and can be collected through simple random sampling and full inspection [5]. Kinigstein and others designed the data acquisition scheme of electric energy meter based on the combination of power line carrier and wireless communication technology [6].…”
Section: Introductionmentioning
confidence: 99%
“…The dominant frequency of blast vibrations plays a crucial role in vibration persistence and its amplification or reduction characteristics in structures [22][23][24]. Several methods and models have been developed to predict and optimize blast-induced ground vibrations [25][26][27][28]. Guo and Li proposed a hybrid intelligent model using a least-squares support vector machine (LSSVM) optimized with a particle swarm algorithm (PSO) for vibration prediction [10,29].…”
Section: Introductionmentioning
confidence: 99%