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Journals / Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi / 2026 / Cilt: 15 Sayı: 3

Gradyan Güçlendirme Kullanarak Çelik Fiberli Geopolimerin Basınç Dayanımının Tahmini

Necip Altay Eren(GAZİANTEP ÜNİVERSİTESİ, GAZİANTEP MESLEK YÜKSEKOKULU)0000-0003-1421-4619
Pages
745–753
Publication Date
2024-09-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Bu çalışmanın bulguları, inşaat sektöründe gelecekteki araştırma ve uygulamalar için umut verici bir yöntem sunmaktadır.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Bu makalenin amacı, çelik fiberli Geopolimer Beton'un basınç dayanımını daha hızlı, doğru, ucuz ve zahmetsiz bir şekilde belirlemektir.
📊
Key Findings & Data:Geleneksel laboratuvar testlerinin maliyetli olduğu ve zaman aldığı göz önüne alındığında, yapay zekâ uygulamalarının betonun basınç değerinin belirlenmesinde önemli alternatif yöntemlerinden birisi olabilir.
💡
Conclusion & Impact:Bu çalışmanın bulguları, inşaat sektöründe gelecekteki araştırma ve uygulamalar için umut verici bir yöntem sunmaktadır.
🔬Design:Lab & Field Experiment
📍Scope:Comprehensive Sample
⚙️Variables:Geopolimer · Basınç dayanımı · Makina öğrenme

Özet

Bu makalenin amacı, çelik fiberli Geopolimer Beton'un basınç dayanımını daha hızlı, doğru, ucuz ve zahmetsiz bir şekilde belirlemektir. Geleneksel laboratuvar testlerinin maliyetli olduğu ve zaman aldığı göz önüne alındığında, yapay zekâ uygulamalarının betonun basınç değerinin belirlenmesinde önemli alternatif yöntemlerinden birisi olabilir. Günümüzde yapay zekâ teknolojilerinin hızla gelişmesi, hassas ve hızlı sonuçlar elde edilmesine imkân tanımaktadır. Bu çalışmada, Makine Öğrenimi kullanılarak belirli bir veri seti üzerinden çelik fiberli geopolimer betonun basınç dayanımının tahmin edilmesi hedeflenmiştir. Literatürde bu konuda yapılan önceki çalışmalar incelenerek 84 veriden oluşan bir veri seti hazırlanmış ve analiz için uygun hale getirilmiştir. Veri seti, Gradyan Güçlendirme yöntemi kullanılarak Python programlama diliyle modellenmiş ve analiz edilmiştir. Yapılan çalışma sonucunda R2 değeri 0,9325 olarak elde edilmiştir. Bu sonuçlar, Gradyan Güçlendirme modelinin çelik fiberli geopolimer betonun basınç dayanımını tahmin etmede oldukça başarılı olduğunu göstermektedir. Sonuç olarak, yapay zekâ teknikleri basınç dayanım sonuçlarının daha hızlı tahmin edebilecek ve maliyetleri önemli ölçüde azaltacak imkânlar sunmaktadır. Bu çalışmanın bulguları, inşaat sektöründe gelecekteki araştırma ve uygulamalar için umut verici bir yöntem sunmaktadır.

🔖

Cite This Article

Eren, N. A. (2024). Gradyan Güçlendirme Kullanarak Çelik Fiberli Geopolimerin Basınç Dayanımının Tahmini. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, Cilt: 15 Sayı: 3, 745–753. https://doi.org/10.24012/dumf.1511100

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