Prediction of Flexural Properties of Wood Material Reinforced with Various FRP Fabrics by Artificial Neural Networks

Year 2021, Volume: 9 Issue: 6 - ICAIAME 2021, 188 - 194, 31.12.2021

Şemsettin Kılınçarslan , Yasemin Türker , Murat İnce

https://doi.org/10.29130/dubited.1015572

Cited By: 1

Abstract

Recently, fiber reinforced polymer (FRP) applications have started to be used in the reinforcement of wooden structures, such as in the reinforcement of steel and reinforced concrete structures. It is necessary to strengthen the wooden structures for reasons such as removing the damages caused by external factors and earthquakes in time, increasing the load-bearing capacity of the structure by restoration, preventing early fatigue and breakages that may occur as a result of mistakes made in the design. The necessity to improve the repair and strengthening methods of the structures damaged as a result of the earthquake over time arises. In this study, the maximum load, displacement, flexural strength and modulus of elasticity of the wood material of Iroko and Ash tree species reinforced with 4 different FRP fabrics, namely carbon, glass, aramid and basalt, were determined by bending test. As a result of the experimental study, the maximum load, displacement, flexure strength and elasticity modulus values of the reinforced samples were estimated by artificial neural network (ANN). As a result, it was determined that the flexural properties of a wood material strengthened with FRP by using ANN can be predicted.

Keywords

Wood Materials, FRP, Reinforcement, Artificial Neural Network, Iroko, Ash

Supporting Institution

SDU BAP

Project Number

FDK-2019-6950

Thanks

This study has been prepared within the scope of the thematic area of “Sustainable Building Materials and Technologies” with SDÜ BAP project with FDK-2019-6950 project code and YÖK 100/2000 doctoral program. The authors thank the SDU BAP unit, YÖK and YÖK100/2000 program staff.

Çeşitli FRP Kumaşlarla Güçlendirilmiş Ahşap Malzemenin Eğilme Özelliklerinin Yapay Sinir Ağları ile Tahmini

Abstract

Son zamanlarda çelik ve betonarme yapıların güçlendirilmesinde olduğu gibi ahşap yapıların güçlendirilmesinde de fiber takviyeli polimer (FRP) uygulamaları kullanılmaya başlanmıştır. Dış etkenlerin ve depremin neden olduğu hasarların zamanla giderilmesi, restorasyon ile yapının taşıma kapasitesinin artırılması, erken yorulma ve yapılan hatalar sonucu oluşabilecek kırılmaların önlenmesi gibi nedenlerle ahşap yapıların güçlendirilmesi gerekmektedir. Zamanla deprem sonucu hasar gören yapıların onarım ve güçlendirme yöntemlerinin iyileştirilmesi gerekliliği ortaya çıkmaktadır. Bu çalışmada, karbon, cam, aramid ve bazalt olmak üzere 4 farklı FRP kumaş ile güçlendirilmiş İroko ve Dişbudak ağaç türlerinin maksimum yükü, yer değiştirmesi, eğilme dayanımı ve elastisite modülü eğilme testi ile belirlenmiştir. Deneysel çalışma sonucunda, güçlendirilmiş numunelerin maksimum yük, yer değiştirme, eğilme dayanımı ve elastisite modülü değerleri yapay sinir ağları (YSA) ile tahmin edilmiştir. Sonuç olarak, YSA kullanılarak FRP ile güçlendirilmiş bir ahşap malzemenin eğilme özelliklerinin tahmin edilebileceği belirlenmiştir.

Keywords

Ahşap Malzeme, FRP, Güçlendirme, Yapay Sinir Ağları, Iroko, Dişbudak

Project Number

FDK-2019-6950

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