Zobrazeno 1 - 10
of 18
pro vyhledávání: '"ABDULKADIR KARADOGAN"'
Autor:
Abdulkadir Karadogan, Mehmet Aksoy, Deniz Adiguzel, Umit Ozer, Ulku Kalayci Sahinoglu, Meric Can Ozyurt, Zeynep Sertabipoglu, Medih Ozan Egemen
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38296- (2024)
Vibration waves caused by construction or mining operations may cause damage to nearby structures or sensitive machinery and equipment. Some measures are implemented to eliminate or reduce this negative environmental effect of vibration. The barrier
Externí odkaz:
https://doaj.org/article/3243b4b7f3b94669ac0146207c4f9ea7
Autor:
Meric Can Ozyurt, Abdulkadir Karadogan
Publikováno v:
Journal of Mining Science. 56:66-78
The aim of this study is to investigate the applicability of artificial neural networks (ANN) and game theory in the development of an underground mining method selection model. To realize this, six different ANN models that can evaluate geometric an
Autor:
Abdurrahim Akgundogdu, Umit Ozer, Ulku Kalayci Sahinoglu, Meric Can Ozyurt, Mert Callioglu, Abdulkadir Karadogan, Cagrihan Karstarli
This study aimed to develop a new model in which rock characteristics, blasting design parameters and excavation planning were also considered by using various machine learning methods in a funicular line excavation where blast-induced vibrations cou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eadabe6aad3b9bd4690d631762952bf
https://doi.org/10.21203/rs.3.rs-336167/v1
https://doi.org/10.21203/rs.3.rs-336167/v1
Autor:
Umit Ozer, Ulku Kalayci Sahinoglu, Abdulkadir Karadogan, Meric Can Ozyurt, Zeynep Sertabipoglu
Publikováno v:
Arabian Journal of Geosciences. 13
In this study, the propagation characteristics of blast-induced air overpressure waves in different atmospheric conditions were investigated. For this purpose, 158 blasting shots were observed at an excavation site in Istanbul, and 562 air overpressu
Autor:
Cevdet Burkay Zaif, Zeynep Sertabipoglu, Ulku Kalayci Sahinoglu, Umit Ozer, Mustafa Kemal Günay, Meric Can Ozyurt, Abdulkadir Karadogan, İbrahim Sefer
Publikováno v:
Arabian Journal of Geosciences. 13
Conventional bored piling excavation technique in a rock formation is a time-consuming and costly operation due to excavation speed. Blasting can be a useful method for the reduction of rock strength before bored pile excavation by breaking the rock
Environmentally sensitive blasting design based on risk analysis by using artificial neural networks
Autor:
Meric Can Ozyurt, Umit Ozer, Zeynep Sertabipoglu, Abdulkadir Karadogan, Ulku Kalayci Sahinoglu
Publikováno v:
Arabian Journal of Geosciences. 12
The aim of this study is to develop an artificial neural network (ANN) which can design an environmentally sensitive blasting project and predict peak particle velocity (PPV) for an urban foundation excavation project with risk elements having differ
Publikováno v:
Insights and Innovations in Structural Engineering, Mechanics and Computation
Scopus-Elsevier
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::885362d0f3bba4934f8579cec6726788
https://doi.org/10.1201/9781315641645-355
https://doi.org/10.1201/9781315641645-355
Publikováno v:
Arabian Journal of Geosciences. 6:711-721
This research was performed on the quarry that will be opened to produce aggregates and rock filling material at Catalagzi region at Zonguldak province in Turkey. However, there are some structures which can be adversely affected by blasting at the q
Publikováno v:
Environmental Geology. 54:737-743
Ground vibrations arising from excavation with blasting is one of the fundamental problems in the mining industry. Therefore, the prediction of ground vibration components plays an important role in the minimization of environmental complaints. In th
Publikováno v:
Environmental Geology. 50:1015-1023
This paper presents the results of ground vibration measurements carried out in Hisarcik Boron open pit mine located on the west side of central Anatolia near Kutahya province in Turkey. Within the scope of this study to predict peak particle velocit