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1

The influence of the circular distribution of radial and tangential seismic velocity on the structural safety of residential buildings

Chrzan Tadeusz

Inżynieria Bezpieczeństwa Obiektów Antropogenicznych

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2022

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Nr 3

48--54

EN

The article presents the results of conditions of circular distribution of seismic vibrations generated during rock blasting. The Scales of Dynamic Influences [SWD] of the harmfulness of the vibration velocity on a two-storey building [SWDI] and a five-storey building[SWDII] are given. The value of seismic velocity safe for the construction of the buildings has been determined. They are in Zone II of the Dynamic Influence Scale [SWD] SWD I and SWD II. The magnitude of the components of the vibration velocity at the same distance from the source of vibration depends on the directional angle between the line of blast holes and the line connecting the centre of the surface of the mined rock block and the place of measurement. For the circular distribution of the vibration velocity, a theoretical analysis of the change in the radial value Vx and the tangential Vy of the vibration velocity depending on the change in the directional angle was conducted. Graphs of vibration velocity for circular distribution, measured during mining of rocks and complying with theoretical predictions were presented. For residential buildings, with SWDI and SWDII, the limit value of the safe vibration velocity for the building structures is given.

2

Applying spatial statistical methods to predict ground vibration accelerations caused by induced seismicity

Bańka Piotr, Szuła Łukasz

Archives of Mining Sciences

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2022

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Vol. 67, no. 4

645--660

EN

This paper presents the results of the research aimed at improving the accuracy of predictions regarding the maximum values of resultant components for horizontal ground vibration accelerations in areas threatened by induced seismicity. The presented solution proposes a spatial model of the ground vibration attenuation relationship based on the assumptions of the Joyner-Boore model. When performing statistical analyses to verify the models, great emphasis was placed on the correctness of applied estimation methods to meet the assumptions. The starting point for introducing spatiality into the models was the occurrence of spatial autocorrelation of the residual component when estimating the structural parameters of a model with the least-squares method. Spatial interactions were presented using weight matrices, the construction of which was based on the inverse of the distance between units. During the study, it was found that the estimated spatial model of the ground vibration attenuation relationship showed a much better match with empirical data compared to the classical Joyner-Boore attenuation model.

3

Prediction of blast-induced ground vibration using gene expression programming (GEP), artificial neural networks (ANNS), and linear multivariate regression (LMR)

Shakeri Jamshid, Shokri Behshad Jodeiri, Dehghani Hesam

Archives of Mining Sciences

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2020

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Vol. 65, no. 2

317--335

EN

In this paper, an attempt was made to find out two empirical relationships incorporating linear mul-tivariate regression (LMR) and gene expression programming (GEP) for predicting the blast-induced ground vibration (BIGV) at the Sarcheshmeh copper mine in south of Iran. For this purpose, five types of effective parameters in the blasting operation including the distance from the blasting block, the burden, the spacing, the specific charge, and the charge per delay were considered as the input data while the output parameter was the BIGV. The correlation coefficient and root mean squared error for the LMR were 0.70 and 3.18 respectively, while the values for the GEP were 0.91 and 2.67 respectively. Also, for evaluating the validation of these two methods, a feed-forward artificial neural network (ANN) with a 5-20-1 structure has been used for predicting the BIGV. Comparisons of these parameters revealed that both methods successfully suggested two empirical relationships for predicting the BIGV in the case study. However, the GEP was found to be more reliable and more reasonable.