Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

Yazarlar: Ahmet ARSLAN, M. Hakan SEVERCAN

Konular:İnşaat Mühendisliği

DOI:10.28948/ngumuh.815736

Anahtar Kelimeler:Glass fiber reinforced polyester,Single curvature space cage system,Artificial neural networks,AISC-ASD89

Özet: In this study, the use of profiles produced using glass fiber reinforced polyester (GFRP) material in single curvature space cage systems was investigated. 20 different system models are designed to see different system behaviors. A total of 240 different models created by using 12 different loadings in the designed systems were statically analyzed with the SAP 2000 program and designed according to AISC-ASD89. Using 12 different input variables, the minimum cross-sectional area values of the designed cage elements were estimated with the model developed in the artificial neural network method and values close to the analysis results were obtained. At the end of these solutions, it has been observed that glass fiber reinforced polyester material can be used as a building material as a substitute for other building materials in single curvature space cage systems.

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