• Neural Network Predictive Models for Alkali-Activated Concrete Carbon Emission Using Metaheuristic Optimization Algorithms 

  Aydın, Yaren; Çakıroğlu, Celal; Bekdaş, Gebrail; Işıkdağ, Ümit; Kim, Sanghun; Hong, Junhee; Geem, Zong Woo (2024)

  Due to environmental impacts and the need for energy efficiency, the cement industry aims to make more durable and sustainable materials with less energy requirements without compromising mechanical properties based on UN ...

• Explainable machine learning model for predicting punching shear strength of FRC flat slabs 

  Liu, Tongxu; Çakıroğlu, Celal; Islam, Kamrul; Wang, Zhen; Nehdi, Moncef L. (2024)

  Reinforced concrete slabs are vulnerable to punching shear failure at the slab-column joint, which can initiate catastrophic progressive collapse. The addition of steel fibers in the concrete matrix has emerged as an ...

• Cooling load prediction of a double-story terrace house using ensemble learning techniques and genetic programming with SHAP approach ( 

  Çakıroğlu, Celal; Aydın, Yaren; Bekdaş, Gebrail; Işıkdağ, Ümit; Sadeghifam, Aidin Nobahar; Abualigah, Laith (2024)

  Since the cooling systems used in buildings in hot climates account for a significant portion of the energy consumption, it is very important for both economy and environment to accurately predict the cooling load and ...

• Explainable Ensemble Learning and Multilayer Perceptron Modeling for Compressive Strength Prediction of Ultra-High-Performance Concrete 

  Çakıroğlu, Celal; Bekdaş, Gebrail; Geem, Zong Woo; Aydın, Yaren (2024)

  first_pagesettingsOrder Article Reprints Open AccessArticle Explainable Ensemble Learning and Multilayer Perceptron Modeling for Compressive Strength Prediction of Ultra-High-Performance Concrete by Yaren Aydın 1ORCID,Celal ...

• Explainable ensemble learning graphical user interface for predicting rebar bond strength and failure mode in recycled coarse aggregate concrete 

  Çakıroğlu, Celal; Tusher, Tanvir Hassan; Shahjalal, Md.; Islam, Kamrul; Billah, A. H. M. Muntasir; Nehdi, Moncef L. (Elsevier, 2024)

  Novel study deploys robust machine learning algorithms using newly built comprehensive dataset to predict reinforcing rebar-to-recycled coarse aggregate concrete (RCA) bond strength and failure mode. Prior investigations ...

• Optimization of axial load carrying capacity of CFST stub columns 

  Çakıroğlu, Celal; Bekdaş, Gebrail (2022)

  Concrete filled steel tubular (CFST) columns are widely used due to their enhanced mechanical properties. The interaction between the concrete core and the steel casing increases structural stability and magnifies the ...

• Bir açık ocak örneğinde yamaç molozu akma mekanizmasının belirlenmesi 

  Yavuz, Enver Vural (2023)

  On 17 November 2016, 16 workers lost their lives as a result of a landslide in an open pit copper mine in Madenköy district of Siirt province in southeastern Turkey. The main aims of this study is to investigate the causes ...

• Büyükçekmece İlçesi kentsel dönüşüm çalışmaları kapsamında açığa çıkan inşaat yıkıntı atıklarının beton üretiminde kullanımının araştırılması 

  Katrancı, Ali Barış; Çelebi, Ramazan; Kutlu, Mehmet; Çakır, Özgür; Sepetçi, Arda; Tarhan, Muhittin; Kılcı, Rıza Evren (2023)

  Within the scope of the "Urban Transformation" studies that started in 2012, it is aimed to demolish and reconstruct the buildings in terms of earthquake safety. It is extremely important to recycle and reuse construction ...

• Numerical analysis of reinforced soil-retaining wall structures with cohesive and granular backfills 

  Demirkan, M. M.; Güler, Erol; Hamderi, Murat (ICE Publishing, 2015)

  The failure mechanisms of reinforced soil segmental walls with extensible reinforcements were studied by performing a numerical analysis using the finite element method. The numerical approach was first verified against ...

• A 3D finite element analysis of the modular block retaining walls with corner turns 

  Hamderi, Murat; Güler, Erol (Transportation Research Board, 2015)

  The design manuals for Geosynthetic Reinforced Soil retaining walls include the methodology for various conditions except the case where the wall has curved corner turns. Lately, there has been an increase in the frequency ...

• Estimation of horizontal displacements for geosynthetic reinforced soil wall 

  Güler, Erol; Hamderi, Murat (2023)

  Nowadays, the geotechnical design trend is increasingly heading towards the serviceability limit state. However, the current practice in the design of geosynthetic reinforced soil (GRS) walls mostly relies on ultimate ...

• Açısal dönme tabanlı aktif ve pasif toprak itkisi 

  Hamderi, Murat (2023)

  Konsol istinat duvarlarında oluşan aktif ve pasif itki duvarın dönme ve yer değiştirmesi ile yakından ilgilidir. Klasik zemin mekaniği çerçevesinde yapılan hesaplarda duvarın yeteri kadar döndüğü ve yer değiştirdiği ...

• Kazıklı radye temellerin oturma tahmini için yeni bir yöntem 

  Hamderi, Murat (2018)

  Literatürde kazıklı radye sistemlerin oturması için verilen ampirik formüller oturmayı sadece kaba bir yaklaşıklıkla tahmin edebilmektedir. Kazıklı radye sistemler için hassas oturma tahmini ancak 3-boyutlu sonlu elemanlar ...

• Kum zeminde p-y eğrileri için yeni bir yöntem 

  Hamderi, Murat (2023)

  P-y eğrileri yatay kuvvetlere maruz kazıkların zeminin verdiği tepkiyi hesaplamak için kullanılırlar. Birçok p-y eğrisi 1970 yıllarında, petrol şirketlerinin okyanuslar üzerine kurduğu platformları destekleyen kazıkların ...

• New displacement method for free embedded cantilever walls in sand 

  Hamderi, Murat (2024)

  In the current literature, there is no practical formula to calculate the horizontal displace ment of cantilever walls. To fill this gap, in the present study, eight formulae for the estimation of wall displacement were ...

• Finite element-based p-y curves in sand 

  Hamderi, Murat (Springer, 2023)

  P-y curves are used in the prediction of non-linear soil resistance resulting from the horizontal pile movement. Many of the p-y curves have been developed in the 1970s for the petroleum industry to predict the horizontal ...

• Pilot-scale modeling of colloidal silica delivery to liquefiable sands 

  Gallagher, Patricia M.; Hamderi, Murat (Elsevier B.V., 2015)

  Passive site stabilization is a developing technology for the in situ mitigation of the risk of liquefaction without surface disruption. It involves the injection of stabilizing materials into liquefiable saturated sand. ...

• The efect of RCA pavements on the liquefaction‑induced settlement 

  Akbaş, Merve; Subaşı, Ozan; Iyisan, Recep (2023)

  The use of recycled concrete aggregates (RCA) not only reduces the demand for natural aggregates (NA) but also might improve the behavior of soil under earthquake loading. In this study, the behavior of the pavement ...

• Optimal dimensions of post-tensioned concrete cylindrical walls using harmony search and snsemble learning with SHAP 

  Çakıroğlu, Celal; Bektaş, Gebrail; Geem, Zong Woo; Kim, Sanghun (2023)

  The optimal design of prestressed concrete cylindrical walls is greatly beneficial for economic and environmental impact. However, the lack of the available big enough datasets for the training of robust machine learning ...

• Predictive modeling of recycled aggregate concrete beam shear strength using explainable ensemble learning methods 

  Çakıroğlu, Celal; Bekdaş, Gebrail (2023)

  Construction and demolition waste (CDW) together with the pollution caused by the production of new concrete are increasingly becoming a burden on the environment. An appealing strategy from both an ecological and a ...

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