Browsing by Subject "earthquake magnitude"

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    29 October 2007, Çameli earthquake and structural damages at unreinforced masonry buildings
    (European Geosciences Union, 2008) Kaplan H.; Yilmaz S.; Akyol E.; Sen G.; Tama Y.S.; Cetinkaya N.; Nohutcu H.; Binici H.; Atimtay E.; Sarisin A.
    A recent earthquake of M=4.9 occurred on 29 October 2007 in Çameli, Denizli, which is located in a seismically active region at southwest Anatolia, Turkey. It has caused extensive damages at unreinforced masonry buildings like many other cases observed in Turkey during other previous earthquakes. Most of the damaged structures were non-engineered, seismically deficient, unreinforced masonry buildings. This paper presents a site survey of these damaged buildings. In addition to typical masonry damages, some infrequent, event-specific damages were also observed. Reasons for the relatively wide spread damages considering the magnitude of the event are discussed in the paper.
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    The use of neural networks for predicting the factor of safety of soil against liquefaction
    (Sharif University of Technology, 2019) Erzin Y.; Tuskan Y.
    In this paper, the Factor of Safety (FS) values of soilaga instliquefaction was investigated by means of Artificial Neural Network (ANN) and Multiple Regression (MR). To achieve this, two earthquake parameters, namely earthquake magnitude (Mw) and horizontal peak ground acceleration (a m a x ), and six soil properties, namely Standard Penetration Test Number (SPT-N), saturated unit weight (γsat), natural unit weight (γn), Fines Content (FC), the depth of Ground Water Level (GWL), and the depth of the soil (d), varied in the liquefaction analysis; then, the FS value was calculated by the simplified method for each case by using the Excel program developed and utilized in the simulation of the feed-forward ANN model with backpropagation algorithm and the MR model. The FS values predicted by both ANN and MR models were compared with those calculated by the simplified method. In addition, five different performance indices were used to evaluate the predictabilities of the models developed. These performance indices indicated that the ANN models were superior to the MR model in terms of predicting the FS value of the soil. © 2019 Sharif University of Technology. All rights reserved.
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    Opinions of the Teacher Candidates Concerning Earthquake Awareness; [Öğretmen Adaylarının Deprem Farkındalığına İlişkin Görüşleri]
    (Afet ve Acil Durum Yonetimi Baskanligi (AFAD), 2022) Bilen E.; Polat M.
    The purpose of this study is to reveal the opinions of teacher candidates on earthquake awareness. Phenomenology design, one of the qualitative research methods, was used. Data were collected through open-ended questions and analyzed using descriptive analysis technique. According to the findings of the study, it was observed that the teacher candidates are able to scientifically define the meaning of earthquake and aware of the secondary disaster types caused by the earthquake. It has been understood that there is an awareness that earthquake prediction which gives precise location-magnitude-time information, is not yet fully possible. It was also determined that the teacher candidates who emphasized that participating in applied educational activities; had a greater effect on people's awareness of earthquake, remembered the destructive earthquakes in the country, knew nongovernmental organizations (NGOs), and thought that training, news and movies about earthquake disasters were effective in raising of awareness. In order to make earthquake awareness permanent in the minds of teacher candidates; applied techniques should be used in education, participation to scientific activities and practices should be ensured, mobile applications (e.g. eAFAD, AFAD Acil) that show disaster assembly sites and useful information, should be presented. © 2022 Afet ve Acil Durum Yonetimi Baskanligi (AFAD). All right reserved.