Sürdürülebilir Kalkınma Amaçları

Bu dergideki yayınlar

4 →
  • MakaleAçık Erişim2025Scopus SJRQ4
    THE REGRESSION ANALYSIS AND DETERMINATION OF MECHANICAL AND PHYSICAL PROPERTIES ON GEOPOLYMER COMPOSITES UNDER THERMAL AND WATER CURING

    Cavdar, Ozlem; Temizer, Hulya

    Increasing costs due to high energy consumption and the release of harmful CO2 gases in cement production have made it necessary to explore alternative binders. This study aims to investigate the physical and mechanical properties of geopolymer mortars containing different proportions of pozzolanic wastes under different cure conditions. For this objective, fly ash obtained from the Sivas/Turkey thermal power plant and blast furnace slag obtained from the Bolu/Turkey iron-steel industries were used as the binding materials. Thermal curing and water curing were applied, and three different molar ratios (8M, 10M, 12M) of NaOH solution and Na2SiO3 were used. The results showed that the reaction products, types of alkaline activators, and reaction conditions are important factors in geopolymer mortars. The highest compressive strength recorded was 84.7 MPa in the geopolymer sample which consisted of 95% blast furnace slag blast furnace slag and 5% fly ash fly ash. Furthermore, two different binder additives (marble powder and strontium) were used and their time-dependent effects on the main binder were analysed. In addition, according to the ANOVA statistical results, the R2 value of the independent variables (Molarity, main binder ratios) on the compressive strengths accepted as the dependent variable is 81.7%. The significance value is 0.007, and these results were considered quite significant.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfScopus1WoS1OpenAlex2
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2022Scopus SJRQ3
    MULTIPLICATIVE CHEBYSHEV DIFFERENTIAL EQUATIONS AND MULTIPLICATIVE CHEBYSHEV POLYNOMIALS

    Yalcin, Numan

    In this work, the definition of the first and second types of multiplicative Cheby-shev differential equations is given and the solutions of these equations are inves-tigated with the help of multiplicative power series. Also, the properties of first and second type multiplicative Chebyshev polynomials are given and proved. Fi-nally, these studies are supported with numerical examples.

    AtıfScopus4WoS2OpenAlex9
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2022Scopus SJRQ3
    A MODIFICATION OF APPROXIMATE RANDOM CHARACTERISTICS FOR A MODEL OF ZIKA VIRUS TRANSMISSION

    Bekiryazici, Zafer; Kesemen, Tulay; Merdan, Mehmet; Khaniyev, Tahir

    In this study, a theoretical model of Zika virus transmission is investigated with random parameters. The parameters of a deterministic model are transformed to random variables to obtain a system of random differential equations. The approximate solutions of the model are analyzed with modified random differential transformation method. It is seen that modified random differential transformation method performs better than random differential transformation method on long time intervals

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfOpenAlex1
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2021Scopus SJRQ3
    Wong-Zakai Method for Stochastic Differential Equations in Engineering

    Sengul, Suleyman; Bekiryazici, Zafer; Merdan, Mehmet

    In this paper, Wong-Zakai approximation methods are presented for some stochastic differential equations in engineering sciences. Wong-Zakai approximate solutions of the equations are analyzed and the numerical results are compared with results from popular approximation schemes for stochastic differential equations such as Euler-Maruyama and Milstein methods. Several differential equations from engineering problems containing stochastic noise are investigated as numerical examples. Results show that Wong-Zakai method is a reliable tool for studying stochastic differential equations and can be used as an alternative for the known approximation techniques for stochastic models.

    AtıfScopus4WoS4OpenAlex5
    ScopusWeb of Scienceİncele
Tam Kayıt
AlanDeğerDil
creativeworkseries.issn0354-9836
dc.date.accessioned2026-10-22T10:20:04.759911272Z
dc.date.available2026-10-22T10:20:04.759911272Z
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/12413
dc.publisherSerbian Society of Heat Transfer Engineers
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleThermal Science