Ground-Borne Vibration Model in the near Field of Tunnel Blasting

Gao, Yufan; Fu, Hongxian; Rong, Xing; Paneiro, Gustavo

doi:10.3390/app13010087

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…For the problem of seismic wave propagation attenuation, researchers at home and abroad have discussed it in detail and put forward different vibration attenuation formulas. In China, the Sadovsky formula of the former Soviet Union is usually used to describe the attenuation relationship between vibration peak and explosion center distance [ 16 , 17 ], and the expression is as follows:

where

is the particle vibration velocity;

is the site coefficient, and

is the attenuation index, both of which are related to the blasting scheme and geological conditions; Q is the maximum charge weight per delay interval; and R is the distance between the explosion source and measuring point.…”

Section: Attenuation Calculation Of Peak Value Of Blasting Vibration ...mentioning

confidence: 99%

Discussion on the Discreteness of the Attenuation Parameters of the Peak Particle Velocity Induced by Blasting

Yang,

Hu,

Liu

et al. 2024

Sensors

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The research on the attenuation law of blasting vibration has become the foundation and precondition of the effective control of blasting vibration damage. Aiming at the characteristics of low frequency, low velocity, and strong amplitude of the R wave, an improved wave component separation method based on R wave suppression is proposed. Combined with the measured vibration signals of a field test, the attenuation parameters of different types of waves in the propagation process of blasting seismic waves are studied. The analysis results show that, in the process of blasting seismic wave propagation, the attenuation parameters of different types of waves are significantly different. With an increase in propagation distance, the proportion of the different types of waves will also change. The study of attenuation law with only coupled particle peak vibration velocity often showed high discreteness. The fitting correlation coefficient and prediction accuracy of peak vibration velocity without distinguishing wave modes are lower than those induced by the P wave or R wave alone, which should be attributed to the conversion of dominant wave modes in blasting vibration at different distances.

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where

is the particle vibration velocity;

is the site coefficient, and

Section: Attenuation Calculation Of Peak Value Of Blasting Vibration ...mentioning

confidence: 99%

Discussion on the Discreteness of the Attenuation Parameters of the Peak Particle Velocity Induced by Blasting

Yang,

Hu,

Liu

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…The method that is described in this article is based on the basics of the probability theory and modelling presented in papers [13][14][15][16][17][18]. Dimensional analysis was also applied in papers [19,20].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Mathematical Models for Identifying the Thickness of the Fouling Layer in Natural Gas Coolers

Čarnogurská,

Příhoda,

Andrejiová

et al. 2024

Applied Sciences

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This article presents an analysis of three different approaches to the identification of the thickness of the fouling layer inside the pipes of natural gas (NG) coolers. At present, there is no existing simple analytical procedure for the identification of the fouling layer thickness. The authors of this article describe in detail the balance method, which required the use of a large number of physical parameters, changes in their sizes depending on the output temperature of the gas, the temperature of the cooling air, the air quantity, as well as the physical properties of both media. The computational model was robust, and its disadvantage was the iterative computation. The second analysed method was a dimensional analysis. It was applied using the Buckingham’s theorem to express the individual similarity criteria. In this method, 10 simplexes and two complexes were created. The fouling layer thickness, expressed using a derived criterial equation, exhibited real results. The third analysed method was based on analysing selected physical parameters with the use of a multiple regression analysis in MinitabX 18 software. The analysis showed that the fouling layer thickness depended on fewer parameters than the number of parameters assumed in the dimensional analysis or the balance method. The standard deviation that was identified in the multiple linear regression for a double crossflow cooler was 0.0667 and the value of reliability (the coefficient of determination of the multiple linear regression) R2 was 0.9985.

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Study of peak velocity of blasting vibration for raft foundation demolition based on MEA-BP algorithm

Wang,

Li,

Zhen

et al. 2024

AIP Advances

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In order to solve the problem of poor accuracy of blasting vibration prediction by the traditional Sadowski empirical formula and BP neural network, a model based on the mind evolutionary algorithm (MEA) is proposed for the first time to optimize the BP neural network. The blasting demolition of a raft slab foundation of an underground garage in Shenyang City, Liaoning Province, China, is taken as a research object, and the effects of the horizontal distance between different monitoring points, demolition area, elevation difference, the maximum amount of a single section of the charge, and the horizontal angle between the measurement point and the minimum resistance line on the peak velocity of vibration are taken into account. The empirical Sadowski formula, the MEA-BP algorithm, and the GA-BP algorithm were introduced to randomly train the 40 sets of data monitored at the site and to predict the eight sets of data outside the training, respectively. The results showed that the maximum relative errors of the results predicted by the MEA-BP model, the GA-BP model, and the empirical Sadowski formula were 14.94%, 19.36%, and 22.81%, respectively, and the average relative errors were 8.88%, 10.79%, and 16.84%, respectively. The prediction results corroborate that the MEA-BP algorithm has high adaptability in blasting vibration prediction for raft foundation demolition and provides reference for the prediction of vibration peak velocity in similar blasting projects.

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Ground-Borne Vibration Model in the near Field of Tunnel Blasting

Cited by 4 publications

References 12 publications

Discussion on the Discreteness of the Attenuation Parameters of the Peak Particle Velocity Induced by Blasting

Discussion on the Discreteness of the Attenuation Parameters of the Peak Particle Velocity Induced by Blasting

Analysis of the Mathematical Models for Identifying the Thickness of the Fouling Layer in Natural Gas Coolers

Study of peak velocity of blasting vibration for raft foundation demolition based on MEA-BP algorithm

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