ANALYTICAL INVESTIGATION OF CFRP STRENGTHENED UNREINFORCED MASONRY WALLS


Ünsal Aslan Z., Karslıoğlu M., Alacalı S., Doran B.

V. INTERNATIONAL HALICH CONGRESS ON MULTIDISCIPLINARY SCIENTIFIC RESEARCH, İstanbul, Türkiye, 15 - 16 Ocak 2023, ss.135-143

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.135-143
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Mason structures represent cultural heritage of great historical importance all over the world. These structures have been designed with little or no regard for the effects of lateral loadings such as earthquakes, so they need to be strengthened using appropriate and effective strengthening techniques. In the last years, significant developments have occurred with respect to the possibilities of strengthening techniques for masonry walls, which are the most durable part of masonry structures. Carbon Fiber Reinforced Polymer (CFRP) has widely been used to strengthen and/or retrofit existing masonry walls against failure. This paper primarily aims to propose an empirical model, which predicts the contributions of diagonal CFRP strips to nominal shear strength of CFRP strengthened unreinforced masonry (URM) walls using nonlinear regression analysis. The proposed model is developed by using the input parameters determined by considering eight different experimental specimens available in the literature. Five main parameters are used to develop the proposed model, including the cross-sectional area of CFRP reinforcement, the tensile strength of CFRP reinforcement, the length of the masonry wall, the height of the masonry wall, and the thickness of the masonry wall. The contribution of diagonal FRP strips was compared with two different research-based analytical models existed in the literature and experimental results. For this purpose, the proposed model is evaluated in terms of the root mean square error (ܴܯܵܧ ,(mean absolute percentage error (ܣܯܲܧ (and coefficient of determination (ܴଶ). It was concluded that the proposed model is more compatible with the experimental results than the research-based models. Besides, a parametric study and sensitivity analysis were conducted to reveal the effect of input parameters.