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    Application of artificial neural network model for forecast energy efficiency of the cryogenic liquefaction system in the meaning of sustainability
    (Inderscience Enterprises Ltd, 2021) Altıntaş, Elif; Tolon, Mert; Karabuğa, Arif; Utlu, Zafer
    Sustainable engineering approaches are a necessity for improving efficiency. For this reason, the artificial neural network (ANN) model is used to forecast different types of energy efficiency problems. In this paper, a comparison is made between a simple model based on ANN which gives meaningful findings in terms of thermodynamics and a model that is based on thermodynamic principles as auditing and predicting tool to forecast exergy efficiency of the system by applying different ANN architecture types with 441 data of experimental measurements obtained from liquefied nitrogen and analysed the Engineering Equation Solver (EES) program to make an exergy analysis.
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    Developing soil liquefaction analysis program created on visual basic analysis in MS excel based on the 2018 Turkish seismic code
    (Istanbul Gedik University, 2024) Özcan, Mahmut; Nazilli, Hasan Bozkurt; Tolon, Mert
    The rapid increase in the world's population, the desire to revise old structures or to need new structures, and the decrease in usable areas in some big cities lead engineers to examine ground conditions more. Due to Turkey's location and geological structure, earthquake occurrences are quite high. The loss of life and property, which has increased with the earthquakes that have occurred in our country in recent years, has been examined and it has been seen that this situation is related to the ground factor rather than the superstructure design inadequacies. In this sense, the main goal of investors is to optimize the profit to be obtained by providing the aesthetics of the superstructure, comfort, and interior quality in building projects such as residences and offices. For this reason, geotechnical design is becoming a discipline that needs to be solved most economically. Starting the investment without paying due attention to the seismicity of the ground in the investment budgets, when the risk of liquefaction in the ground may come to the fore, it is possible to avoid unaccounted ground improvement methods, so new buildings with the risk of soil liquefaction are added to the unsafe old building stock. With the 2018 Seismic Code in Turkey, liquefaction on the ground and different problems that occur in the ground have been examined in more detail. Within the scope of the study, it was focused on getting faster results with faster and on-site determinations of the liquefaction situation on the ground, thanks to the Visual Basic application program prepared in Excel. In this sense, with the program prepared as the aim of the study, it is aimed to enable the construction of the soil liquefaction analysis to be made quickly and with less cost and to start the construction with a realistic budget and structural models. The program continuously increases its sensitivity and accuracy with additional inputs. This allows geotechnical engineers to achieve faster and earlier results Earthquake; Soil Liquefaction; TBDY; 2018 Turkish Seismic Code Regulation
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    Influence of local soil conditions on the structural design and associated costs
    (Istanbul Gedik University, 2018) İnce, Harun; Toy, Ebru; Tolon, Mert
    It is known that earthquakes occur along the faults as a result of the tectonic plate movements [1]. The North Anatolian, Northeast Anatolian and East Anatolian Faults create three major fault lines in Turkey. In connection with these fault lines, there are various studies concentrated mostly on the seismicity and the topic of earthquake hazard has been examined by many researchers until today. According to the literature, to cope with earthquake related problems, an utmost attention should be given to the existing building stock and currently available design principles used for earthquake resistant structures in the country. In general, the damage to buildings stem from the lack of knowledge and experience in the field, lack of soil survey database, and structural irregularities in plan and elevation. According to building design codes, the seismic load acting on the structures depends on the seismic zone, the soil type, its period of vibration and the mass of the building [2]. In the present study, the main objective is to evaluate the influence of local site effects on the seismic response of buildings in terms of 2018 Turkish Seismic Design Code provisions and to analyze their impact on the cost of construction of buildings. In the study, a two-story reinforced concrete-framed building (residential house) is used as an example. Using the architectural layout of the building, the thickness of floor slabs and column size are determined. The construction cost is estimated roughly by considering unit costs method. The cost of the reinforced concrete structure is determined by considering 2017 unit price list, specified by the Ministry of Environment and Urbanization [3]. It’s quite clear that the cost of structure built on soil class ZD is more expensive than the cost of the one built on the soil class ZA. The cost difference is around 22,57% between soil classes ZA and ZD.
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    Modelling of energy and exergy analysis of ORC integrated systems in terms of sustainability by applying artificial neural network
    (Oxford University Press, 2021) Utlu, Zafer; Tolon, Mert; Karabuğa, Arif
    The present study focuses on the organic Rankine cycle (ORC) integrated into an evacuated tube heat pipe (ETHP), whose systems are an alternative solar energy system to low-efficiency planary collectors. In this work, a detailed thermodynamic and artificial neural network (ANN) analysis was conducted to evaluate the solar energy system. One of the key parameters of sustainable approaches focused on exergy efficiency is application of thermal engineering. In addition to this, sustainable engineering approaches nowadays are a necessity for improving the efficiency of all of the engineering research areas. For this reason, the ANN model is used to forecast different types of energy efficiency problems in thermodynamic literature. The examined system consists of two main parts such as the ETHP system and the ORC system used for thermal energy production. With this system, it is aimed to evaluate energy and exergy analysis results by the ANN method in the case of integrating the ORC system to ETHP, which is one of the planar collectors suitable for the roofs of the buildings. Within the scope of this study, the exergy efficiency was evaluated on the developed ANN algorithm. The effect rates of parameters such as pressure, temperature and ambient temperature affecting the exergy efficiency of ORC integrated ETHP were calculated. Ambient temperature was found to be the most influential parameter on exergy efficiency. The exergy efficiency of the whole system has been calculated as similar to 23.39%. The most suitable BPNN architecture for this case study is recurrent networks with dampened feedback (Jordan-Elman nets). The success rate of the developed BPNN model is 95.4%.