Taş kolon yöntemi kullanılarak silt ile karıştırılan inşaat yıkıntı atıklarının deneysel ve sayısal analizi
2023
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Advisor: Dr. Öğr. Üyesi Nurullah Akbulut ; Dr. Öğr. Üyesi Talha Sarıcı
Abstract (TR)
The increasing scarcity of adequate engineering properties of land for development, structures, and transportation has led to a growing emphasis on soil improvement. One of the most efficient and effective methods for improving weak soils with low bearing capacity, high compressibility, and high settlement is the use of stone columns. This method is cost-effective, environmentally friendly and improves the soil's stiffness, bearing capacity and making it more resistant to settlement. In this study, construction and demolition waste materials such as natural crushed stone, waste brick, and recycled asphalt pavement were used to construct geosynthetic-encased stone columns with silty soil. Tests were conducted to investigate the bearing capacity and settlement properties of the reinforced soil mixtures. Also, the experimental results were validated using PLAXIS software which is a finite element method. The experimental results showed that using natural crushed stone, waste bricks, and recycled asphalt pavement to reinforce silty soil by stone column method resulted in an increase in bearing capacity of 3.69, 3.57, and 2.64 times, respectively. Overall the results of the other series indicated that the use of waste materials increased the bearing capacity of the soil by up to 6 times, depending on the height of the geogrid and the demolition waste type. Numerical analysis by PLAXIS supported the experimental studies, indicating that construction and demolition waste can be a sustainable and valuable resource for improving soil with geosynthetic-encased stone columns. Keywords: Soil improvement, stone column, bearing capacity, settlement, experimental, numerical
Author
Dr. Ahmet Haydar Cenk
Institution
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Ahmet Haydar Cenk (Yüksek Lisans Tezi). Taş kolon yöntemi kullanılarak silt ile karıştırılan inşaat yıkıntı atıklarının deneysel ve sayısal analizi, 2023, Hasan Kalyoncu University.
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