İnşaat Mühendisliği Bölümü Koleksiyonu
Güncel Gönderiler
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Büyükçekmece İlçesi kentsel dönüşüm çalışmaları kapsamında açığa çıkan inşaat yıkıntı atıklarının beton üretiminde kullanımının araştırılması
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 ... -
Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls
(Elsevier, 2023)Cantilever soldier pile retaining walls are used to ensure the stability of excavations. This paper deploys ensemble machine learning algorithms towards achieving optimum design of these structures. A large dataset was ... -
Explainable machine learning model for predicting punching shear strength of FRC flat slabs
(Elsevier BV, 2023)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 ... -
Neural network predictive models for alkali-activated concrete carbon emission using metaheuristic optimization algorithms
(2023)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 ... -
Explainable data-driven ensemble learning models for the mechanical properties prediction of concrete confined by aramid fiber-reinforced polymer wraps using generative adversarial networks
(2023): The current study offers a data-driven methodology to predict the ultimate strain and compressive strength of concrete reinforced by aramid FRP wraps. An experimental database was collected from the literature, on which ... -
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
(Elsevier, 2023)Wind energy increasingly attracts investment from many countries as a clean and renewable energy source. Since wind energy investment cost is high, the efficiency of a potential wind power plant should be determined ... -
Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
(Elsevier, 2023)Colossal amounts of construction and demolition waste (C&D) and waste tires have become a considerable global environmental concern. To alleviate this issue, it is proposed to use crumb rubber (CR) derived from waste ... -
Interpretable predictive modelling of basalt fiber reinforced concrete splitting tensile strength using ensemble machine learning methods and SHAP approach
(2023)Basalt fibers are a type of reinforcing fiber that can be added to concrete to improve its strength, durability, resistance to cracking, and overall performance. The addition of basalt fibers with high tensile strength ...
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