Modelling of blasting-induced air overpressure wave propagation under atmospheric conditions by using ANN model

Özer, Ümit; Karadoğan, Abdulkadir; Özyurt, Meriç Can; Sertabipoğlu, Zeynep; Şahinoğlu, Ülkü Kalaycı

doi:10.1007/s12517-020-05763-3

Cited by 8 publications

(1 citation statement)

References 15 publications

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“…In the last decade, researchers have applied several soft computing techniques and statistical analysis methods to predict ground vibration and other environmental effects of rock blasting. Some researchers applied neural networks or ANFIS technique (e.g., Bakhshandeh Amnieh et al 2010; Armaghani et al 2014;Kocaslan et al 2017, Ozer et al 2019, Ozer et al 2020. Hasanipanah et al (2015), Dindarloo (2015), and Masmoudi et al (2020) practiced support vector machines and machine learning methodology to investigate environmental issues.…”

Section: Introductionmentioning

confidence: 99%

Prediction and evaluation of blast-induced ground vibrations for structural damage and human response

Hudaverdi

Akyildiz

2021

Arab J Geosci

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This research focuses on blast-induced structural damage and human response to vibrations. Frequency is one of the important parameters that affect damage probability and human perception. The first and primary target of the study is to predict ground vibration and frequency simultaneously. A feed-forward back propagation neural network was created for modeling. Three operational parameters and vibration measurement distance were used as input parameters. The developed model was compared to the regression equations. Different error measures were considered to perform a vigorous model validation. Ten different blasting level charts were used to estimate structural damage probability. The regulations from North America, Europe, and Southern Hemisphere were examined and compared. Variation in the vibration regulations was also discussed. Some suggestions were put forward for the development of an international regulation. Two practical charts were created to predict human response to vibrations. A specific graph, which was proposed for pile driving induced vibrations, was considered for evaluation of blast vibrations. The developed soft computing framework can forecast probability of structural damage and human perception of vibrations effectively.

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