Browsing by Author "Kaygusuz, Berk"

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Çavuşcugöl Linyit Açık Ocağı Doğu Şevlerinde Oluşan Deformasyonların Jeodezik Yöntemle İzlenmesi ve Matematiksel Modellenmesi
(Konya Teknik Üniversitesi, 2019) Kaygusuz, Berk; Özşen, Hakan
Açık maden ocaklarında, mühendislik çalışmaları ile oluşturulan şevlerde, karayolu ve demiryolu yarmalarında ve doğal şevlerde duraysızlık oluşması durumunda şev kaymaları oluşabilmektedir. Meydana gelen bu kaymalar yaşam kaybına, ekonomik kayıplara, geometrisi bozulan alanlara sebebiyet vermektedir. Bu sonuçların önüne geçebilmek için oluşan duraysızlıkların izlenmesi ve elde edilen sonuçlar neticesinde emniyeti arttırmak için jeoteknik verilerin güncellenmesi, kaya düşmesini önleyici sistemler gibi önlemlerin alınması gerekmektedir. Bu çalışma, halen TKİ Ilgın Linyitleri İşletmesi'ne bağlı olan Ilgın-Çavuşcugöl linyit açık ocağında gerçekleştirilmiştir. Ocakta yapılan incelemeler ve denetlemeler neticesinde ocağın doğu şevinin 60 m ilerisinde bulunan TCDD Çavuşcugöl İstasyonu'na yönelimli çekme çatlakları tespit edilmiştir. Ölçüm sistemi olarak jeodezik ölçüm yöntemi kullanılarak 112 günlük süreçte belirli aralıklarla şev hareketleri izlenmiştir. Elde edilen veriler sonucunda şevdeki deformasyon hareketleri değerlendirilmiştir. Ardından, bu hareketliliğe bağlı matematiksel eşitlikler geliştirilmiştir.
Citation - WoS: 1
Citation - Scopus: 1
Experimental Analysis of Various Deep Learning Methods for Predicting Displacements in an Open Pit Coal Mine
(Springer, 2025) Ozsen, Hakan; Kaygusuz, Berk
Slope failure is a problem that can occur on slopes formed by natural or unnatural means for various reasons and as a result, can cause serious loss of life and property. This is also crucial in open pit mines. Therefore, it is critical to constantly monitor slope deformations and predict a possible slide that may occur in the future. Predicting the initial trend behavior of a created slope is at least as important as estimating slope failure. Therefore, in this study, we tried to estimate slope stability with a small number of deformation data. In this study we aimed to compare several deep learning methods in using time series prediction with limited data. For this purpose, we applied MLP, GRU, LSTM Networks, biLSTM and a hybrid structure of CNN-RNN methods. We utilized data taken from three stations settled in an open pit mine slope and predicted the compound deformation value of x-, y- and z-direction in these slopes. The performance was compared with respect to the root mean squared error (RMSE) and coefficient of correction (R2) values. The minimum RMSE was obtained as 0.2293 and maximum R2 was reached as 0.9984 by the GRU method on the third station's data.
Investigation of Instability Problems in the Çavuşcugöl Open Lignite Mine
(Konya Technical University, 2020) Özşen, Hakan; Kaygusuz, Berk; Kaya, Dursun
Slope failure may occur in slopes of open pits slopes, engineering works, highway and railway cuts and natural slopes in case of instability. These failures result in loss of life, economic losses and deterioration of the geometry. In order to prevent these undesired results, monitoring the instability on the slopes is essential. safety enhancement geotechnical revisions, rock fall prevention systems etc. must be established according to the results of monitoring studies. This study was carried out in Turkish Coal Enterprises (TKİ) Ilgın-Çavuşcugöl lignite open pit mine. As a result of the investigations and inspections conducted in the quarry, tension cracks were found. directed to Çavuşcugöl train station, which is 60 m far from the eastern slope of the quarry. Slope movements were monitored at certain intervals in a period of 112 days by using geodetic measurement method as a monitoring system. Deformation data of the slope were evaluated and a mathematical equation based on these movements was then developed. High correlation was determined between model results and real deformation data.