Determination of Natural Fundamental Period of Minarets by Using Artificial Neural Network and Assess the Impact of Different Materials on Their Seismic Vulnerability

Minarets are slender and tall structures that built from different types of materials. Modern materials also starting to be used in such with the recent developments material technology. The seismic vulnerability dynamic behavior minarets can vary, depending on characteristics. Within this study’s scope, thirteen Türkiye were chosen as variables. A sample minaret model was an example nine heights reveal how characteristic change affects behavior. Information mechanical characteristics given for all types. Natural fundamental periods, displacements, base shear forces attained structural analyses each selected material. empirical period formula is proposed using obtained taken into consideration. At same time, natural periods first ten modes 13 study estimated established Artificial Neural Network (ANN) model. real experimental compared values by ANN fewer parameters, 99% results successful. In addition, time history evaluate performance (three considered). specific case, acceleration record 2011 Van (Eastern Turkiye) earthquake (Mw = 7.2) Performance levels determined according It has been concluded significantly affect minarets.