Mühendislik, Mimarlık ve Tasarım Fakültesi
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- ItemA Symmetry-Based Spherical Fuzzy MCDM Approach for the Strategic Assessment of Alternative Fuels Toward Sustainable Energy Policies(MDPI, 2025-06) Abdulvahitoğlu, Adnan; 382420Alternative fuels obtained from renewable sources, providing low greenhouse gas emissions and high energy efficiency, offer significant advantages in terms of sustainability. In addition, the wide applicability of these fuel types in sectors such as housing, transportation, and industry creates significant opportunities in terms of reducing dependence on fossil fuels. Alternative fuels should be evaluated not only according to their environmental contributions but also based on multi-dimensional criteria such as economic cost, technical suitability, sustainability level, fuel properties, infrastructure requirements, and social acceptance. In this context, a comparative analysis of alternative fuel types in terms of various basic parameters is no longer optional, but a necessity. These parameters generally include symmetrical relationships such as balanced trade-offs between economic and environmental dimensions or mutual effects between technical and social criteria. However, they also show variability and uncertainty depending on the fuel type. Therefore, Spherical Fuzzy Multi-Criteria Decision Making (SF-MCDM) methods, which can effectively represent symmetry in membership and hesitation degrees, have been used to achieve more realistic and reliable results in uncertain decision environments. The proposed model provides a systematic and flexible evaluation structure that helps decision makers determine the most appropriate alternative fuel options and contributes to the formation of sustainable energy policies.
- ItemA theoretical and experimental investigation using a multi-criteria decision-making approach to investigate the use of oak cupule biomass as a sustainable corrosion inhibitor for mild steel in acidic solution(Elsevier, 2025-08) Şişmanoğlu, Sedef; Mert, Mehmet Erman; Doğru Mert, Başak; Abdulvahitoğlu, Adnan; 382420This study investigates adsorption mechanism and inhibition efficiency of oak cupule (OC) biomass on mild steel (MS) corrosion in an acidic medium through quantum chemical calculations and electrochemical analysis. The chemical composition of OC was characterized using FTIR-ATR, mass spectrometry, and UV–Vis spectroscopy. Electrochemical impedance spectroscopy was conducted at varying inhibitor concentrations, complemented by surface morphology analysis via SEM and contact angle measurements after 168 h of immersion. At 250 ppm, the inhibition efficiency reached 92.5 %, attributed to the presence of tannins and polyphenolic compounds. Adsorption followed the Langmuir isotherm, with an equilibrium constant of 2.36 L mg−1 and a Gibbs free energy change of −12.08 kJ mol−1. Contact angle measurements indicated increased hydrophobicity due to the formation of protective layer. Potential of zero charge (PZC) analysis confirmed electrostatic interactions between OC molecules and the positively charged MS surface in 0.5 M HCl. Molecular insights were obtained using Density Functional Theory (DFT) with the B3LYP/6–311++G(d,p) method, revealing electronic properties such as frontier molecular orbital energies, energy gap and atomic charges. The optimum result was determined by analyzing the experimental findings at different inhibitor concentrations and different durations using Multi Criteria Decision Making (MCDM) methods. It was found that scenario S5 provided the optimum result.
- ItemEnhancing municipal solid waste management efficiency through clustering: a case study(Taylor and Francis, 2024-11) Çil, Sedat; Karaer, Feza; Salihoğlu, N. Kamil; Tabansız Göç, Gülveren; Çavdur, Fatih; 409903This study leverages real-time datasets generated through IoT technology and smart city applications to enhance solid waste management in Yalova Province, Turkey. By integrating these datasets with the municipality’s Geographic Information System (GIS) using the ITRF/96 3 UTM X Y Coordinate System, a dynamic waste collection framework was established. The K-Means clustering algorithm was employed to determine the optimal waste container placement, considering capacities of 550, 800, 1,000, and 3,000 liters and walking distances of 50–100 ms. Results indicated that 1,000 and 3,000-liter containers with a 100-m walking distance maximized collection efficiency. Replacing 484 traditional containers with 105 units of 3,000 liters reduced total routes by 34%, transport costs by 42.2%, and CO2 emissions by 33.5%. The study underscores the importance of integrating GIS and IoT technologies for real-time waste management, aligning with the UN’s Sustainable Development Goals (SDG 11 and SDG 13). By combining data-driven decision-making with urban sustainability practices, it offers a replicable model for municipalities seeking to reduce costs and environmental impacts in waste collection.
- ItemHibrit Savaş ve Kıbrıs Barış Harekâtında Jandarma Birlikleri: Askeri Harekâtlarda Jandarma Birliklerinin Kullanımının Çok Kriterli Karar Verme Yöntemleri ile Analizi(Hiperyayın, 2024) Abdulvahitoğlu, Adnan; 382420; Peler, Yükselen; Akçam, Zeki; Savrun, Ergenekonİnsanlık tarihinin varoluşundan bu yana Avrupa, Asya ve Avrupa kıtalarının ortasında önemli bir jeostratejik konuma sahip olan Kıbrıs adası tüm medeniyetlerin ilgi duyduğu bir yer olmuştur. Süveyş Kanalı, Cebelitarık Boğazı ile İstanbul ve Çanakkale Boğazlarından geçen suyollarının kesiştiği bir kavşak noktası olan Kıbrıs adasında Mısırlılardan Hititlere, Asurlulardan Romalılara, Araplardan Venediklilere kadar birçok devlet hüküm sürmüştür. 1571 yılında Osmanlı idaresine geçen adaya 1878 yılında kiracı olarak yerleşen İngiltere, 1914 yılında patlak veren Birinci Dünya Savaşını fırsat bilerek adayı ilhak etmiş ve kalıcı olarak yerleşmiştir. Doğu Akdeniz’in kilidi olan Kıbrıs adasına hâkim olan devlet, Doğu Akdeniz’e kıyısı olan tüm devletlerin ve buradan geçen suyollarının üzerinde bulunan tüm ülkelerinin dış siyasetinin ve ilişkilerinin yürütülmesinde etkili ve yönlendirici olmaktadır. Bu yüzden ada sürekli küresel güçlerin hedefinde olmaya devam etmektedir. İklim, jeolojik, botanik, zoolojik ve kültürel açıdan incelendiğinde Anadolu’nun ayrılmaz bir parçası olduğu açıkça görülen Kıbrıs adası Türkiye ve Türkiye’nin güvenliği açısından ise çok daha fazla öneme sahiptir.
- PublicationMathematical model to upcycle end-of-roll leftover fabrics in apparel manufacturing(Sage, 2024-06) İşeri, Ali; Kızılaslan, Recep; 135066This study addresses the problem of end-of-roll leftover fabrics originating after the production of baby/child apparel. The ineffective management of these leftovers results in excess inventory, occupies storage space, and imposes economic and environmental loads. To address this challenge, a novel mathematical modeling approach is proposed. The model maximizes the upcycling of leftovers by incorporating these into the manufacturing of garments while adhering to marketing, production, and ordering constraints. This model also introduces the feasibility of ordering new fabrics with a penalty, as defined by the decision makers, to increase utilization. The model was tested using actual end-of-roll leftover data. The upcycling utilization of leftovers was calculated to be between 57% and 87%. Notably, at an upcycling rate of 58%, 96% of the utilized fabrics were sourced from leftovers. The case study results validate the model efficacy and provide insights into leftover-fabric management.
- ItemPsychological impact of disaster relief operations: a study following consecutive earthquakes in Turkey(Cambridge University Press, 2024-05) İşeri, Ali; Baltacı, Recep; 135066Objective: This cross-sectional study investigates the immediate psychological effects of disaster relief operations on team members following 2 consecutive major earthquakes in Turkey. Methods: A total of 170 participants, including professional firefighters, search and rescue (SAR) workers, and volunteers, were surveyed approximately 1 month after the conclusion of active SAR operations. The study utilizes the DSM-V criteria and the Posttraumatic Stress Disorder Checklist (PCL-5) to assess symptoms of post-traumatic stress disorder (PTSD) among participants. Results: The findings reveal a point prevalence of 35.3% for probable PTSD, highlighting the substantial psychological impact on disaster relief teams. Factors such as age, residency in affected areas, and active SAR involvement significantly influenced probable PTSD rates. Interestingly, actively engaged SAR members had lower probable PTSD rates, possibly due to their training. Those who directly witnessed the earthquakes had higher scores, highlighting the impact of firsthand exposure. Additionally, individuals aged 50 and above displayed a higher mean total severity score compared to younger participants. Conclusions: This research contributes to understanding the mental well-being of disaster relief professionals. The study’s findings underscore the importance of timely mental health support and training for these responders, emphasizing the need for preparedness in disaster relief teams.
- ItemTesting the Forecasting Power of Statistical Models for Intercity Rail Passenger Flows in Turkey(Sage, 2024-11) Ekici, Üsame; Tüydeş Yaman, Hediye; Şendil, NuriWhile going through a major rail transformation, it is important to develop reliable estimation models for rail passenger flows (RPFs) in Turkey. There are two main approaches in RPF estimation, regressions and autoregressive integrated moving-average (ARIMA) models, both of which were in this study developed using the daily RPF data for the period 2011–2015. The ARIMA models (with some variations) were used to forecast first the daily flows in 2016, during which travel restrictions for summer resulted in reduced volumes, successfully captured in the updated ARIMA model. The regression models predicted the expected demand during the restrictions, enabling evaluation of the impact of restrictions, which also showed the models’ power over the longer term. The forecasts were extended to 2017, 2018, and 2019 data. The regression results produced more reliable forecasts over the long term, whereas more accurate predictions were obtained by ARIMA-Sliding (FA-Sld) for short-term planning purposes.
