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BETONARME ELEMANLARDAK I ZAMANA BAG LI DEFORMASYONLARIN YAPAY SİNİR AGLARI İLE ANALİZİ

THE ANALYSIS OF TIME DEPENDENT DEFORMATION IN R. C. MEMBERS BY ARTIFICIAL NEURAL NETWORK

Journal Name:

  • Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Publication Year:

  • 1997

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
In the past ten years, Artificial neural networks have emerged as analysis and solving technique with capabilities suited to many structural analysis problems. Diverse problems in engineering may be solved accurately with computers. In structural engineering many solution techniques exist. Artificial neural networks have evolved as a new computing paradigm, and many engineering applications have been studied. In this paper the time dependent deformation such as; creep, shrinkage, in R. C. members have been calculated by means of Artificial Neural Network (ANN) and the results have been compared with the experimental study given by other authors.
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Abstract (Original Language): 
Geçen on yıl içerisinde, yapay sinir ağları pek çok yapı analizinde başarı ile uygulanmış bir problem analiz ve çözüm tekniği olarak ortaya çıkmıştır. Mühendislikteki çeşitli problemler bilgisayar ile tam olarak çözülebilir. Yapı mühendisliğinde bir çok çözüm tekniği mevcuttur. Yapay sinir ağları yeni bir hesaplama tarzı ortaya çıkarmış ve bir çok mühendislik uygulaması bu metot ile çalışılmıştır. Bu çalışmada, betonarme elemanlardaki sünme ve rötre gibi zamana bağlı deformasyonlar yapay sinir ağı tekniği ile hesaplanmış ve sonuçlar ilgili referanslarda verilen deneysel çalışmalar ile karşılaştırılmıştır.
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REFERENCES

References: 

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committe
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