prikaz prve stranice dokumenta Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability
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Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability
Applied sciences (Basel), 13 (2023), 2; 809. https://doi.org/10.3390/app13020809
Isik, Ercan; Ademović, Naida; Harirchian, Ehsan; Avcil, Fatih; Büyüksaraç, Aydin; Hadzima-Nyarko, Marijana; Bülbül, Mehmet Akif; Işık, Mehmet Fatih; Antep, Barış

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Isik, E., Ademović, N., Harirchian, E., Avcil, F., Büyüksaraç, A., Hadzima Nyarko, M. ... Antep, B. (2023). Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability. Applied sciences (Basel), 13. (2). doi: 10.3390/app13020809

Isik, Ercan, et al. "Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability." Applied sciences (Basel), vol. 13, br. 2, 2023. https://doi.org/10.3390/app13020809

Isik, Ercan, Naida Ademović, Ehsan Harirchian, Fatih Avcil, Aydin Büyüksaraç, Marijana Hadzima Nyarko, Mehmet Akif Bülbül, Mehmet Fatih Işık i Barış Antep. "Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability." Applied sciences (Basel) 13, br. 2 (2023). https://doi.org/10.3390/app13020809

Isik, E., et al. (2023) 'Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability', Applied sciences (Basel), 13(2). doi: 10.3390/app13020809

Isik E, Ademović N, Harirchian E, Avcil F, Büyüksaraç A, Hadzima Nyarko M, i sur.. Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability. Applied sciences (Basel) [Internet]. 2023. [pristupljeno 14.01.2025.];13(2). doi: 10.3390/app13020809

E. Isik, et al., "Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability", Applied sciences (Basel), vol. 13, br. 2, 2023. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:133:921146. [Citirano: 14.01.2025.]

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Naslov (engleski)Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability
AutorErcan Isik
AutorNaida Ademović
AutorEhsan Harirchian
AutorFatih Avcil
AutorAydin Büyüksaraç
AutorMarijana Hadzima-Nyarko
AutorMehmet Akif Bülbül
AutorMehmet Fatih Işık
AutorBarış Antep
Autorova ustanovaSveučilište Josipa Jurja Strossmayera u Osijeku
Građevinski i arhitektonski fakultet Osijek
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Sažetak (engleski)
Minarets are slender and tall structures that are built from different types of materials. Modern materials are also starting to be used in such structures with the recent developments in material technology. The seismic vulnerability and dynamic behavior of minarets can vary, depending on the material characteristics. Within this study’s scope, thirteen different material types used in minarets in Türkiye were chosen as variables. A sample minaret model was chosen as an example with nine different heights to reveal how material characteristic change affects seismic and dynamic behavior. Information and mechanical characteristics were given for all the material types. Natural fundamental periods, displacements, and base shear forces were attained from structural analyses for each selected material. The empirical period formula for each material is proposed using the obtained periods, depending on the different minaret heights taken into consideration. At the same time, fundamental natural periods for the first ten modes and 13 different types of materials used in the study were estimated with the established Artificial Neural Network (ANN) model. The real periods from the experimental analyses were compared with the values estimated by the ANN using fewer parameters, and 99% of the results were successful. In addition, time history analyses were used to evaluate the seismic performance of the minaret (three different materials were considered). In this specific case, the acceleration record from the 2011 Van (Eastern Turkiye) earthquake (Mw = 7.2) was taken into consideration. Performance levels were determined for the minaret according to the results obtained for each material. It has been concluded that material characteristics significantly affect the dynamic and seismic behavior of the minarets.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaApplied sciences (Basel)
Brojčani podacivol. 13, br. 2, 809
e-ISSN2076-3417
DOIhttps://doi.org/10.3390/app13020809
URN:NBNurn:nbn:hr:133:921146
Datum objave publikacije2023
URL dokumentahttps://www.mdpi.com/2076-3417/13/2/809
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2024-12-17 13:15:39