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Browsing by Author "Selcuk, Seda"

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    Conference Object
    Enhancing Road Anomaly Detection With Dynamic Cropping System: a YOLOv8 Integrated Approach
    (Institute of Electrical and Electronics Engineers Inc., 2024) Er, Taha Yasin; Selcuk, Seda; 06.05. İnşaat Mühendisliği; 06. Mühendislik Fakültesi; 01. Çankaya Üniversitesi
    Efficient and accurate detection of urban road anomalies such as potholes, manhole covers, and speed bumps is crucial for enhancing urban infrastructure and ensuring road safety. However, detecting these small-scale features using machine learning is significantly challenged by the high prevalence of negative data and the complex urban backgrounds in images. This study introduces an innovative approach utilizing a Dynamic Cropping System (DCS) in conjunction with the YOLOv8 convolutional neural network model to refine the detection of these road anomalies. The DCS method enhances detection accuracy by employing a YOLOv8- based model to identify a nd i solate r oad s urfaces w ithin i mages, t hereby minimizing irrelevant background information through targeted cropping.
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    Article
    Life Cycle Assessment of Geopolymer Materials Utilizing Construction and Demolition Waste
    (Academic Press Inc Elsevier Science, 2025) Unsal, Zeynep; Ekinci, Mehmet Ozkan; Ilcan, Huseyin; Sahin, Oguzhan; Selcuk, Seda; Sahmaran, Mustafa; 06.05. İnşaat Mühendisliği; 06. Mühendislik Fakültesi; 01. Çankaya Üniversitesi
    This study assessed the environmental impacts of construction and demolition waste (CDW)-based geopolymers. For analysis, the cradle-to-gate system boundary was established. Two different geopolymer mixtures were evaluated: one composed entirely of CDW-based precursors-(CDW100), and another incorporating supplementary cementitious materials-(SCMs) as a 20 % replacement of CDW-based precursors-(CDW80SCM20). Raw materials were sourced from a diverse range of demolition waste. NaOH and Ca(OH)2 were employed as activators. Additionally, a cementitious mixture with comparable strength was included in the analysis as a benchmark for comparison with the geopolymers. The results of the impact analyses revealed that CDW80SCM20 had a greater environmental impact across various categories compared to CDW100. The relatively higher environmental impacts of the CDW80SCM20 mixture are largely attributed to the transport-related environmental burdens associated with the inclusion of SCMs. The largest differences were for land occupation and global warming, at 30.8 % and 16.9 %, respectively. Moreover, the results indicated that the environmental impacts of the CDW-based mortars were significantly lower than those of the cementitious system, with the exception of aquatic eutrophication and ozone layer depletion. The increase in ozone layer depletion is mainly associated with the production of NaOH via the chlor-alkali process, which contributes to emissions affecting stratospheric ozone. The advantages of geopolymers in terms of environmental impact made it possible to reduce the effects of global warming by 48.1 %, aquatic acidification by 22.1 %, land occupation by 45.2 %, and nonrenewable energy consumption by 1.83 %. However, aquatic eutrophication and ozone layer depletion were found to be higher compared to cementitious mortar.