Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(19)
- Celik, Erkan(9)
- Topal, Murat(8)
- Yucesan, Melih(8)
- İlhan, Aziz(8)
- Danabas, Durali(7)
- Kaya, Sema Kayapinar(7)
- Mete, Suleyman(7)
- Serin, Faruk(7)
- Arslan Topal, E. Işıl(6)
- Ates, Mehmet(6)
- Ceyhan, Muhammed(6)
- Erguven, Gokhan Onder(6)
- Erisir, Mine(6)
- Kutlu, Banu(6)
- Yildirim, Ozal(6)
- Benzer, Fulya(5)
- Kahraman, Gökhan(5)
- Sabanci, Serdal(5)
- Talo, Muhammed(5)
- Öbek, Erdal(5)
- Akkurt, Nevzat(4)
- Aksu, Onder(4)
- Alataş, Mevlüt(4)
- Altı, Aziz(4)
- Aslaner, Recep(4)
- Bayrakdar, Cihan(4)
- Boydak, Merve(4)
- Caliskan, Abuzer(4)
- Dal, Murat(4)
- Ertit Tastan, Burcu(4)
- Gömleksiz, Mehmet Nuri(4)
- Icier, Filiz(4)
- Ince, Muharrem(4)
- Kandemir, Fatih Mehmet(4)
- Orhan, Ahmet(4)
- Ozer Kaya, Seyma(4)
- Pullu, Emine Kübra(4)
- Serdar, Osman(4)
- Serin, Emine Kaplan(4)
Yayınlar
- MakaleAçık Erişim2020SOME FLATNESS CONDITIONS ON NORMAL METRIC CONTACT PAIRS
Ünal, Inan
In this paper, the geometry of normal metric contact pair manifolds is studied under the circle divide atness of conformal, concircular and quasi-conformal curvature tensors. It is proved that a conformal flat normal metric contact pair manifold is an Einstein manifold with a positive scalar curvature and has positive sectional curvature. It is also shown that a concircular flat normal metric contact pair manifold is an Einstein manifold. Finally, it is obtained that a quasi-conformally flat normal metric contact pair manifold is an Einstein manifold with a positive scalar curvature and, is a space of constant curvature.
AtıfOpenAlex4TR Dizin3
İncele - MakaleAçık Erişim2020Scopus SJRQ1Performance and Aging Characteristics of Hot Mixture Asphalt with Crumb Rubber and Warm Mix Asphalt Additives
Akpolat, Mustafa; Kök, Baha Vural; Yilmaz, Mehmet
In this study, the mixes prepared using crumb rubber (CR) and binders with warm mix additives were aged through various aging methods (1, 2, 3, and 4 weeks at 60 degrees C in the laboratory; 2, 4, 6, 8, 10, and 12 months under the environmental conditions; and AASHTO R30) and examined in terms of performance and aging index. The indirect tensile strength (ITS), indirect tensile stiffness modulus (ITSM), and fatigue tests were applied to the pure and the CR,CR+Sasobit, andCR+Evothermmodified aged and nonaged mixes, and the aging indexes were determined according to the results obtained. According to the test results,CR+Sasobitwas found to be the best mix in terms of mechanical properties. Using the warm asphalt additives in the CR modification was determined to decrease the aging indexes and retarded the aging. Also determined was that a high correlation exists between the aging at 60 degrees C in the laboratory and the aging under the environmental conditions. Based on the fatigue test results, AASHTO R30 short-term aging (4 h at 135 degrees C) was determined to cause structural deterioration in the mixes and yielded low load repetition relative to the pure mixes. Therefore, using this method for the short-term aging of the CR modified mixes would not be appropriate. When the tests applied were evaluated in terms of the aging indexes, the fatigue test was found to be the most sensitive method for detecting aging in the pure mixes and mixes with additives. (C) 2020 American Society of Civil Engineers.
AtıfWoS17OpenAlex15İncele - MakaleYalnız künye2020Are Reasoning Skills on Geometric Shapes Predictors of Geometry Performance?
Ilhan, Aziz; Aslaner, Recep
In this study, the relationship between the pre-service mathematics teachers' reasoning skills on geometric shapes and geometry performances were investigated. The participants of the study consisted of 384 pre-service mathematics teachers, 252 females, 132 males who studied at the faculties of education of two universities in Eastern and Southeastern Anatolia in the fall semester of 2016-2017 academic year. In the study, due to the limitations in terms of time and labor conditions, appropriate sampling method was preferred when determining the sample. In the section where the applications of the study were done, relational survey model was used. The data of the study were collected by reasoning skills on geometric shapes test and geometry performance test developed by the researchers. The data were analyzed using descriptive statistics, t-test, ANOVA test, Cohen's f, Cohen's d effect size values, correlation analysis and regression analysis. In the study, when the reasoning skills on geometric shapes and geometry performance data were compared according to gender variable, it was found that the average of men was higher than women. In addition, when the geometry performance scores are examined, it is seen that the third grade has the highest average, while reasoning skills on geometric shapes scores have the highest average in the second grade. When the scale and test scores of preservice mathematics teachers were examined according to gender variable, it was found that reasoning skills on geometric shapes ability and geometry performance scores did not show a significant difference between them. As a result of ANOVA test, it was found that the differences between the classes were significant reasoning skills on geometric shapes ability and geometry performance. The calculated Cohen's effect size values showed that the differences between the classes were low. When this difference was investigated between the classes, it was found that there was a significant difference between some classes. When the Cohen's effect size values of these differences are examined, it is seen that there are low significant effects between the classes. When the correlation values between the variables were examined, a high-level relationship was found between the reasoning skills on geometric shapes ability and the geometry performance. In addition, it was found that reasoning skills on geometric shapes ability is a significant predictor of geometry performance. As a result of the findings obtained in the study, suggestions were made about the use of the concepts of reasoning skills on geometric shapes and geometry performance in academic field and mathematics teaching.
- MakaleYalnız künye2020Scopus SJRQ3The Use of Astacus leptodactylus (Eschscholtz, 1823) as a Test Species for Toxicity Evaluation of Municipal Wastewater Treatment Plant Effluents
Yildirim, Cikcikoglu N.; Aksu, O.; Tatar, S.; Yildirim, N.
This study evaluated the responses of biochemical biomarkers in Astacus leptodactylus exposed to treated municipal effluents discharged into Keban Dam Lake, Elazig Elazig, Turkey. A. leptodatyclus were exposed to treated municipal effluents and Catalase (CAT), Superoxide dismutase (SOD) activity and lipid peroxidation (TBARS), glutathione (GSH) levels were measured as oxidative stress biomarkers. SOD activity was increased after exposing to treated municipal effluents for 24th and 96th h. CAT activities were decreased from 25.29 to 14.12 nmol/min/ml compared to control in the group exposed to treated municipal effluents for 24 h but it increased after 96 h exposure. GSH levels were decreased from 9.08 to 3.77 mu M compared to control, but MDA levels were increased both at 24 th h and 96 th h after exposure to treated municipal effluents. CAT, SOD activities and MDA and GSH levels in the hepatopancreas of A. leptodactylus are sensitive and suitable biochemical biomarkers for evaluating the toxicity of the treated municipal effluent complex mixtures. Treated municipal effluents exposure was found to cause sub-lethal responses in A. leptodactylus suggesting oxidative stress.
AtıfWoS2OpenAlex3İncele - MakaleYalnız künye2020Scopus SJRQ4Electrochemical behaviour of cross-linker glutaraldehyde as a receptor for carbaryl biosensor
Ipek, Yeliz
Glutaraldehyde (GA) is a famous cross-linker that is used for immobilization of enzyme or biologic material on electrochemical biosensor electrodes. It has an important role in pesticide biosensor studies. Because of the inhibitor effect of pesticides on acetylcholine esterase enzyme (AChE), it is generally immobilized on the electrode by cross-linking method. Glutaraldehyde is used as cross-linker agent to immobilize the enzyme on the electrode surface. Acetylcholine esterase activity is inhibited by pesticides or other neurotoxic compounds. This inhibition helps us to detect the pesticide residual. Although numerous electrochemical pesticide biosensors are based on generally the immobilization of the enzyme in the literature, an enzymeless biosensor based on GA has been developed in this study for the first time. Enzyme biosensors have high cost and needs special storage conditions. In this study, glutaraldehyde detected the carbaryl pesticide as sensitive as an acetylcholine esterase enzyme biosensor. The biosensor electrode was constructed with coating GA on glassy carbon electrode (GCE). Thus, it is a simple, low cost and practical method for pesticide detection in the water samples with low detection limit of 5x10(-9) mol L--(1).
AtıfWoS3İncele - MakaleYalnız künye2020ANALYSIS OF TURKISH BIRD NAMES IN THE TURKISH DICTIONARY IN TERMS OF ONOMASTICS
Korkut, Gizem
In this study; it is aimed to reveal the criteria used in bird naming in Turkish and to examine the methods used in creating concepts. The names of the birds in the Turkce Sozluk, which was published by the Turkish Language Association in 2019 as the eleventh edition, were determined and later, according to the naming methods; Bird names of Turkish origin were classified under eight headings according to their nutrition, physical characteristics, calling sound, behavior, color, habitat, resemblance to another animal, hunting and not depending on a reason. Identified bird names were examined both in appearance and aural. In the study, Turkish and non-Turkish-origin bird names were distinguished and Turkish-origin bird names were examined in the study. In order to reflect the bird vocabulary in the Turkce Sozluk fully, the bird names that are not of Turkish origin are also listed in the study. In the conclusion of the study; the most common naming methods used in bird naming, the most used naming methods in terms of syntax and the languages in which bird names are mostly used in terms of etymology were mentioned.
- MakaleYalnız künye2020Scopus SJRQ1Petrological evolution of Karliova-Varto volcanism (Eastern Turkey): Magma genesis in a transtensional triple-junction tectonic setting
Karaoglu, Ozgur; Gülmez, Fatma; Göçrnengil, Gonenc; Lustrino, Michele; Di Giuseppe, Paolo; Manetti, Piero; Savasçin, Mehmet Yilmaz; Agostini, Samuele
AtıfOpenAlex26İncele - MakaleYalnız künye2020Ecotoxicity Study of Iron Oxide Nanoparticles on Chlorella Sp. and Daphnia Magna
Ertit Tastan, Burcu; Kars Durukan, Ilknur; Ates, Mehmet
Nanoparticles have great impact due to their tremendous industrial applications. However, their applications have produced toxicity effects on the aquatic environments and their detailed analyses are not clearly understood. Iron oxide nanoparticles (Fe2O3 NPs) are being used extensively in many industries but are considered highly toxic to aquatic species residing in surface waters. This paper demonstrates the acute toxicity of alpha-Fe2O3 and gamma-Fe2O3 NPs in two aquatic species. The effects of various concentration (0, 50, 100, 250, 500 and 1000 mg/L) of alpha-Fe2O3 and.-Fe2O3 on the sensitivity response of the Chlorella sp. and D. magna were investigated. The growth of microalgal decreased with increased concentration of the alpha-Fe2O3 and gamma-Fe2O3 NPs concentrations but did not show a significant toxic effect. The EC50 concentration value was 500 mg/L and LD50 concentration value was 1000 mg/L for alpha-Fe2O3 treated daphnids in 72 h, respectively. The findings demonstrate the significant evidence in understanding acute toxicity of Fe2O3 NPs for environmental protection as part of risk assessment strategies.
AtıfWoS6İncele - MakaleAçık Erişim2020SURFACE FAMILY WITH COMMON LINE OF CURVATURE IN 3-DIMENSIONAL GALILEAN SPACE
Altin, Mustafa; Ünal, Inan
In this paper we tried to find parametric presentation of a surface family with common line of curvature in 3-dimensional Galilean space. We have obtained necessary and sufficient conditions for the curve to be a common line of curvature on this surface. We have stated examples to visualize our results and also, we have examined a torsion free curve.
AtıfWoS1OpenAlex2İncele - MakaleYalnız künye2020Scopus SJRQ1A fast branch, bound and remember algorithm for disassembly line balancing problem
Li, Zixiang; Çil, Zeynel Abidin; Mete, Suleyman; Kucukkoc, Ibrahim
In recent years, the interests of disassembly line have increased owing to economic reasons and the increase of environmental awareness. Effective line can provide many advantages in terms of economic aspect and it facilitates competition the companies with others. This study contributes to the relevant literature by a branch, bound and remember algorithm for disassembly line balancing problem with AND/OR precedence. The proposed exact solution method employs the memory-based dominance rule to eliminate the reduplicated sub-problems by storing all the searched sub-problems and to utilise cyclic best-first search strategy to obtain high-quality complete solutions fast. In this paper, minimising the number of stations is taken as the performance measure. The proposed methodology is tested on a set of 260 instances and compared with the mathematical model using CPLEX solver and five well-known metaheuristics. Computational results show that the proposed method is capable of obtaining the optimal solutions for all the tested instances with less than 0.1 seconds on average. Additionally, comparative study demonstrates that the proposed method is the state-of-the-art algorithm and outperforms the CPLEX solver and metaheuristics in terms of both solution quality and search speed aspects.
AtıfWoS66OpenAlex65İncele - MakaleAçık Erişim2020A Novel Probabilistic Nuclei Segmentation Algorithm for H&E Stained Histopathological Tissue Images
Serin, Faruk; Erturkler, Metin; Gul, Mehmet
In this study, we propose a novel, fast and accurate segmentation algorithm to segment nuclei in H&E stained histopathological tissue images. The proposed algorithm does not require pre-processing, post-processing, and any manual parameter or threshold. The algorithm utilizes probabilistic and statistical properties of the pixels' color value in the images with RGB color space, and determines whether pixels are a part of any nuclei or not by using an automatically calculated threshold value. The algorithm provides time efficiency and reduced overall cost in the segmentation. Two more algorithms are also proposed to distinguish nuclei cluster from the other clusters obtained by K-means, and eliminate false positives in nuclei cluster, which are not nuclei. In order to compare and evaluate the performance of the proposed segmentation algorithm in terms of time and cost efficiency, K -Means is preferred because of its common usage. Expert evaluation is declared as ground truth for determining the accuracy of the results. The experiments are performed on 60 healthy and 60 damaged kidney, and 60 healthy and 60 damaged liver tissue images. The evaluations show that the proposed algorithm can effectively segment nuclei. The comparison results also demonstrate that the deviation between proposed algorithm and the expert is 2%, while the deviation between K -Means and expert is 5%.
AtıfOpenAlex2İncele - MakaleAçık Erişim2020Anthropogenic Pollution Assessment of Pertek (Tunceli) Geothermal Field
Balaban, Tugbanur Ozen; Okan, Ozlem Oztekin; Sançar, Taylan; Önal, Ayten Oztufekci
The study area is located in Pertek town in Tunceli province in Eastern Anatolia. The geology of the study area is very important for the geodynamic evolution of the Eastern Taurus. Geological formations in the study area are Paleozoic Keban metamorphics, Upper Cretaceous Harami Formation, Middle-Upper Eocene Kirkgecit Formation, Upper Miocene Karabakir Formation, and Quaternary alluvium, from the oldest to the youngest, respectively. Hydrogeological units were divided into three units in accordance with lithological, structural and hydrogeological properties. The basement of the study area of sandstone, marbles and dolomitic marbles in the Keban metamorphic rocks are highly fractured and karstified and act as the main reservoir in particular for thermal waters in the study area. Kirkgecit and Karabakir Formations occur as barrier rocks in the geothermal area due to impermeable properties. Some levels of limestone units within the Keban metamorphics are aquifers for freshwater. Alluvium is the most important and suitable unit for cold groundwater production. In the study area, streams and rivers flow from southwest to northeast towards Keban Dam Lake. The lake is very important in the region from the point of view of hydroelectric power production, flood control, and irrigation. The thermal and mineral waters generally have high mineral contents. When they are discharged onto the surface, they can cause contamination in surface water, ground water, and of soil. Because of the fact that the water resources in the region are used for drinking and irrigation purposes, the quality of the water is evaluated within the scope of this study. For this reason, water and sediment samples were analyzed for boron, arsenic and other contaminant (Pb, Fe, Sb, Sn and Hg) substances to measure the contamination. The results acquired from the analysis of water samples suggest that concentrations of B, As and Pb in some of the samples exceed the limits of the TSE drinking-water standards(>100 ppb). Fe concentration is 2.16 ppm, Hg and Sb concentrations are also 0.05 ppm. Moreover, some of the sediment samples collected from thermal springs in Singec Creek are contaminated with B, As, Sb, Hg and Pb and other elements sourced from geothermal fluids. In this study, the geochemical evaluation of the presence of B, As, and other contaminants (Pb, Fe, Sb, Sn) derived from geothermal activities within sediment and water in the Pertek Geothermal Field and surrounding area were discussed.
AtıfWoS2OpenAlex2TR Dizin2İncele - MakaleAçık Erişim2020Determination of Some Aroma Metabolites of Streptococcus thermophilus and Lactobacillus delbrueckii subsp. bulgaricus Isolates from Traditional Yogurt, by HPLC
Yazdiç, Fadime; Akyol, Ismail; Yazdiç, Ferit Can
This study was conducted to determine lactic acid bacteria isolated from Turkish yoghurts produced by traditional methods, amounts of usage of milk lactose in carbohydrate metabolism and formate, pyruvate, 3-hydroxy-2-butanone (acetoin), ethanol and 2,3-butandiol production amounts by HPLC. Two lactic acid bacteria species, widely used in traditional and industrial yoghurt production Streptococcus thermophilus (St. thermophilus) and Lactobacillus delbrueckii subsp. bulgaricus (Lb. bulgaricus) were used from cultural stock. Production potentials of the above mentioned metabolites of 88 pieces of St. thermophilus and 12 pieces of Lb. bulgaricus were researched in different mediums and milk. St. thermophilus isolates were grown in anaerobic SM17, aerobic SM17, LM17 and milk and Lb. bulgaricus isolates were grown in anaerobic MRS (Man, Rogosa and Sharp Broth), aerobic MRS and milk. Amounts of formate, pyruvate, 3-hydroxy-2-butanone, ethanol and 2,3-butandiol determined by HPLC of St. thermophilus isolates were specified respectively as 0.1 +/- 0.0-77.0 +/- 0.2 mg/kg, 0.1 +/- 0.0-90.2 +/- 0.0 mg/kg, 0.1 +/- 0.0-127.0 +/- 8.4 mg/kg, 2.1 +/- 0.0-191.4 +/- 1.1 mg/kg and 1.1 +/- 0.0-130.0 +/- 5.2 mg/kg. Amounts of formate, pyruvate, 3-hydroxy-2-butanone, ethanol and 2,3-butandiol of Lb. bulgaricus isolates were specified respectively as 0.2 +/- 0.0-57.0 +/- 1.0 mg/kg, 0.1 +/- 0.0-3.2 +/- 1.0 mg/kg, 0.1 +/- 0.1-77.0 +/- 2.0 mg/kg, 9.1 +/- 3.09-5.3 +/- 5.0 mg/kg and 6.2 +/- 0.2-98.4 +/- 2.0 mg/kg. Metabolites that determined quantified ranges in study, belong to subcultures of bacteria isolated from yoghurts fermented by traditional methods. These isolates have the potential to be a starter culture for commercial yogurt industry.
AtıfWoS1OpenAlex2TR Dizin1İncele - BildiriYalnız künye2020The Effect of Different Noise Levels on The Performance of The Audio Search Algorithm
Köseoglu, Murat; Uyanik, Hakan
Audio fingerprint technique is a method that creates a unique and compact identity for audio data and is also used to distinguish these identities from each other. In this study, an algorithm, based on the methods used in Shazam 's audio fingerprint technique and hash functions, was developed to recognize multimedia audio files by using MATLAB software, and it was tested against noise factor of different levels. Experimental results have shown that the developed algorithm gives successful results against the noise factor. In addition, it has been understood that the preferred hash function technique has revealed satisfying results in comparison with the conventional techniques.
AtıfOpenAlex5İncele - MakaleYalnız künye2020Scopus SJRQ4Ricci semi-symmetric normal complex contact metric manifolds
Vanli, Aysel Turgut; Unal, Inan
In this paper, we obtain the necessary and sufficient conditions a complex almost contact metric manifold to be normal. In addition, we give some new identities for the Riemann curvature and the Ricci curvatures of normal complex contact metric manifolds. Furthermore, we show that a Ricci semi-symmetric normal complex contact metric manifold is Einstein.
AtıfScopus5
İncele - MakaleYalnız künye2020Scopus SJRQ2Metallic nanoparticles as X-Ray computed tomography (CT) contrast agents: A review
Aslan, Naim; Ceylan, Burhan; Koç, Mümin Mehmet; Findik, Fehim
X-ray computed tomography vastly used in both medical purposes and in the research of biological and non-biological materials/samples. Some of the medical applications performed in the clinics requires special protocols where contrast agents may be needed to enhance the contrast. Iodine based contrast agents are commonly used in such applications. Iodine based contrast agents were found hazardous to the environment and some patients has iodine in tolerance due to thyroid origin diseases. Scientists from different fields try to develop contrast agents which can be an alternative to iodine based contrast agents. Metallic nanoparticles have potential to be used as CT contrast agent since metals has high X-ray attenuation and high density. Metal nanoparticles considered as toxic to the living organisms. Covering nanoparticles with organic molecule often reduce toxicity and enhance the biocompatibility. Decoration of nanoparticles with function groups give them targeting properties where special organ and/or tissue can be targeted. Up to now, different studies illustrated the importance of the multipurpose properties of the metallic nanoparticles. In this report, we assessed the metal nanoparticles reported as X-ray computed tomography contrast agent. For the first time in the literature we listed in vivo contrast enhancement, targeted drug delivery and dual/multipurpose imaging properties of each metallic nanoparticles. Therapeutic effects of metallic nanoparticles such as photothermal therapy and magnetic hyperthermia were also addressed. A chart showing relative contrast enhancement properties of the nanoparticles were produced.
AtıfScopus127OpenAlex134İncele - MakaleYalnız künye2020Scopus SJRQ1Impact of mechanical properties of historical masonry bridges on fundamental vibration frequency
Onat, Onur
The fundamental frequency of a historical monument like a masonry bridge or any other structure provides a better and detailed seismic assessment of its demand to provide protection against unexpected seismic ground motion. On this basis, this paper aims to develop an empirical formulation to fit the ambient vibration frequency of historical masonry bridges using a nonlinear regression model. For this purpose, data series were collected from the literature especially focused on both ambient vibration measurement and finite element models of historical masonry bridges modeled on a full scale to get the first global natural frequency. The first approach is to forecast the natural vibration frequency by using only physical characteristics of the historical masonry bridges obtained from the literature-based experimental ambient vibration frequency data. The second approach consists of forecasting the first natural vibration frequency considering the unit weight and elasticity modulus of the dominant construction material based on the homogenization approach. In addition to mechanical characteristics, physical properties of historical masonry bridges were used, such as the length, height, width, and Main Arch Span (MAS) length of the masonry bridge, to predict the first natural vibration frequency. Among the proposed equations, a maximum accuracy of 58% was reached with the literature-based experimental approach. Moreover, an empirical formulation with 81% accuracy was proposed by using both physical characteristics and mechanical properties of the bridges on the basis of finite element model results. Also, this study highlights that this accuracy decreases to 35% if the modulus of elasticity and unit weight are ignored. In addition, the developed formulations are compared with other empirical formulations using the Mean Square Error (MSE), as a measure of the average of the squares of the errors. Consequently, the smallest MSE value of 1.95 was obtained with the proposed equation, whose accuracy was 81% in this study.
AtıfScopus17WoS19OpenAlex21İncele - MakaleYalnız künye2020Scopus SJRQ1A deep convolutional neural network model for automated identification of abnormal EEG signals
Yıldırım, Özal; Baloglu, Ulas Baran; Acharya, U. Rajendra
Electroencephalogram (EEG) is widely used to monitor the brain activities. The manual examination of these signals by experts is strenuous and time consuming. Hence, machine learning techniques can be used to improve the accuracy of detection. Nowadays, deep learning methodologies have been used in medical field to diagnose the health conditions precisely and aid the clinicians. In this study, a new deep one-dimensional convolutional neural network (1D CNN) model is proposed for the automatic recognition of normal and abnormal EEG signals. The proposed model is a complete end-to-end structure which classifies the EEG signals without requiring any feature extraction. In this study, we have used the EEG signals from temporal to occipital (T5–O1) single channel obtained from Temple University Hospital EEG Abnormal Corpus (v2.0.0) EEG dataset to develop the 1D CNN model. Our developed model has yielded the classification error rate of 20.66% in classifying the normal and abnormal EEG signals.
AtıfScopus164OpenAlex211İncele - MakaleAçık Erişim2020Scopus SJRQ2New national and regional bryophyte records, 63
Ellis, L.T.; Afonina, O.M.; Czernyadjeva, I.V.; Konoreva, L.A.; Potemkin, A.D.; Kotkova, V.M.; Alataş, M.; Blom, H.H.; Boiko, M.; Cabral, R.A.
AtıfScopus21OpenAlex23İncele - MakaleYalnız künye2020Scopus SJRQ2Empirical modeling between degree days and optimum insulation thickness for external wall
Kallioğlu, Mehmet Ali; Ercan, Umut; Avcı, Ali Serkan; Fidan, Cihad; Karakaya, Hakan
Insulating is the most effective method that is used to save energy in buildings. Samples from cities from different climatic zones from TS 825 (Turkey) first. Optimum insulation thickness (xopt) analysis is based on two types of insulating and four different fuels (natural gas, coal, fuel oil and electric) of related cities. Cost accounts, payback period and CO2-SO2 emission calculations were performed based on these analyses. Second of all, the relationship between a number of degree day (NDD) and optimum insulation thickness (xopt) was developed by linear, quadratic and cubic correlations. Thirty different mathematical correlations based on different fuel types by using XPS and EPS insulating materials. Twenty-four of these models that were developed were generated peculiar to the fuel type; six of them were generated based on average insulation thickness. R2 values of related correlations are between 0.9989 most and 0.9952 at least as well as it is pretty close to (R ≤ 1) one value. The model among these models is the xopt xopt = a+b (NDD) + c(NDD)2+ d(NDD)3 cubic mathematical model that gives the best average value. a = 0.0036, b = 5E-05, c =–7E-09 and d = 6E-13 are the values for XPS material. Following values are for EPS material; a = 0.0028, b = 5E-13, c =–7E-09 and d = 4E-05. R2 determination coefficient of both two equations is pretty close to 0.9989 and 1; the models obtained are less-than-stellar. Optimum insulation thickness of the area can be known based on the type of material via the number of degree day without the need for long analyses. According to the R2 values, the use of all models is recommended for academic and industrial users.
AtıfScopus21WoS24OpenAlex22İncele