PREDICTION OF BLAST INDUCED GROUND VIBRATIONS BY USING ARTIFICIAL NEURAL NETWORKS

Year 2020, Volume: 59 Issue: 4, 265 - 273, 01.12.2020

Abdulkadir Karadoğan Meriç Can Özyurt Ülkü Kalaycı Şahinoğlu Ümit Özer

https://doi.org/10.30797/madencilik.843834

Abstract

In this study, artificial neural networks (ANN) were used as a tool for estimation of blast-induced
vibrations. For this purpose, the blast shots carried out in a quarry in Istanbul were monitored and
the blast-induced vibrations were recorded.
Peak Particle Velocities (PPV) and Scaled Distances (SD) of 24 events were recorded in the
first 12 shots, subjected to statistical analysis and the site-specific ground vibration propagation
equation was obtained. This data set was also used to train an ANN model while SD was an
input and PPV was an output; and a new model, that used to estimate blast-induced vibrations
in the related field, was developed. Using the vibration propagation equation and the developed
ANN model, blast-induced vibrations were estimated for 19 shots performed subsequently, and
the results were compared with 37 recorded vibration data. It was seen that there was linear
relationship with a high correlation between the values calculated with the equation and recorded
data; and there was linear relationship with a higher correlation between outputs of ANN model
and recorded data.

Keywords

Blasting, Vibration, Artifical Neural Networks

PATLATMA KAYNAKLI TİTREŞİMLERİN YAPAY SİNİR AĞLARI KULLANILARAK TAHMİNİ

Abstract

Bu çalışmada patlatma kaynaklı titreşim hızının tahmin edilmesinde yapay sinir ağları (YSA)
kullanılmıştır. Bu kapsamda, İstanbul’da bulunan bir taşocağında yapılan patlatmalar izlenmiş ve
patlatmalardan kaynaklanan titreşimler kayıt altına alınmıştır.
İzlenen ilk 12 atımda kaydedilen 24 olaya ait maksimum parçacık hızları ile ölçekli mesafeler
istatiksel analize tabi tutulmuş ve sahanın spesifik titreşim yayılım denklemi elde edilmiştir. Bu
veri seti ayrıca, ölçekli mesafenin giriş, maksimum parçacık hızının ise çıkış olduğu bir YSA
modelinin eğitilmesinde kullanılmış; ve ilgili sahada patlatma kaynaklı titreşimlerin tahmin
edilmesinde kullanılan yeni bir model geliştirilmiştir. Titreşim yayılım denklemi ve geliştirilen
YSA modeli kullanılarak, sonradan izlenen 19 atım için titreşim hızı tahminleri yapılmış, elde
edilen değerler ile kaydedilen 37 olay karşılaştırılmıştır. Titreşim yayılım denklemi ile hesaplanan
değerler ile kaydedilen olaylar arasında yüksek korelasyonlu doğrusal bir ilişki olduğu; YSA
modelinin çıkışları ile kaydedilen olaylar arasında ise daha yüksek korelasyonlu doğrusal bir ilişki
olduğu görülmüştür.

Keywords

Patlatma, Titreşim, Yapay Sinir Ağları

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