Sürdürülebilir Kalkınma Amaçları

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Yazarlar

• Artar, Musa(2)
• Carbas, Serdar(2)
• Deep, K(1)
• Geem, ZW(1)
• Kim, JH(1)
• Sadollah, A(1)
• Tayfur, Bilal(1)
• Tozlu, Alperen(1)
• Turhal, Uğur(1)
• Yadav, A(1)

• MakaleAçık Erişim2026Scopus SJRQ1/r/bayburt/11083
  A comparative study of metaheuristic algorithms for thermoeconomic optimization of an Organic Rankine Cycle

  Tayfur, Bilal; Turhal, Uğur; Tozlu, Alperen

  The efficient recovery of waste heat from biogas power plants via Organic Rankine Cycles (ORC) is essential for sustainable energy but requires satisfying conflicting thermodynamic and economic objectives. This study addresses the need for robust optimization strategies by evaluating nine recent metaheuristic algorithms to identify the most effective methods for maximizing net power while minimizing system costs. A multi-objective thermoeconomic model utilizing the specific exergy costing method was developed for a toluene-based ORC and optimized using algorithms including Dung Beetle, Snake, and NSGA-II. The optimization reduced the unit electricity cost by 9.1% (from $0.088/kWh to $0.080/kWh), with the Dung Beetle algorithm exhibiting superior convergence (Hypervolume 25.90) and the Snake algorithm demonstrating the best solution uniformity (Spread 1.54) with computational speed (0.084 s). These findings underscore that selecting algorithms based on specific exploration-exploitation characteristics is critical for achieving cost-effective and thermodynamically efficient power generation designs.

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  AtıfOpenAlex2

  İncele
• MakaleAçık Erişim2023Scopus SJRQ1/r/bayburt/11666
  Optimizing the seismic resilience performance of steel truss bridges by maximum energy dissipation via friction dampers

  Artar, Musa; Carbas, Serdar

  The primary aim of this study is to propose an innovative design methodology for optimizing the seismic resilience performance of steel truss bridges by dissipating the maximum input seismic energy. Maximum seismic energy dissipation is carried out by means of Pall friction dampers (PFDs), popularly categorized among passive energy-damping devices. PFDs distribute input seismic energy with a slip motion along with friction during an earthquake. For that, it is important to determine the optimal slip load value for the PFDs to start working before the structural elements reach the yield point. To determine the optimal slip load values of the PFDs under earthquake effects, the maximum seismic energy distribution is assured by nature-inspired Squirrel Search (SS) and Water Strider (WS) metaheuristic algorithms for steel truss bridges equipped with PFDs. Finally, steel truss bridges on which PFDs with optimal slip load values have been implemented are optimally designed to achieve the minimal structural weight while satisfying ASD-AISC Code of Practice requirements. In order to demonstrate the validity of the proposed design methodology, two design examples of 113-member and 465-member steel truss bridges steel are presented. The optimal slip loads attained with the SS and WS algorithms by conducting the proposed design methodology are 2.45% and 3.75% of the structural weight for the first design example and 2.64% and 2.63% of the structural weight for the second design example, respectively, which are much lower than those considered in practical applications. Moreover, the numerical results show that by 93.5% and 99.48% maximum distribution rates of input seismic energy are accomplished in the bridges. The results indicate that the proposed design methodology exhibit superior performance in optimizing the seismic resilience performance of steel truss bridges by maximum energy dissipation via friction dampers.

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  AtıfScopus8·WoS4·OpenAlex5

  İncele
• Kitap BölümüAçık Erişim2022Scopus SJRQ3/r/bayburt/12132
  Optimum Discrete Design of Steel Planar Trusses Comprising Earthquake Load Impact

  Carbas, Serdar; Artar, Musa; Kim, JH; Deep, K; Geem, ZW; Sadollah, A; Yadav, A

  In this study, the success of teaching–learning-based optimization (TLBO) and biogeography-based optimization (BBO) metaheuristic methods in optimum discrete sizing design of a steel planar truss comprising earthquake load impact has been investigated. To do this, a 46-element steel planar truss has been handled as a design example. Like many other stochastic optimization methods, the TLBO and BBO techniques imitate specific natural events. In TLBO, the processes are carried out by mimicking a class consisting of teachers and students; on the other hand, the BBO simulates the distribution of species in nature based on biodiversity. The stress and displacement constraints in American Institute of Steel Construction-Allowable Stress Design (AISC-ASD) provisions are considered as structural behavior constraints. Both algorithms select design profiles from a discrete list containing steel W-shaped sections. For obtaining the minimum weighted optimum structural design, the algorithms encoded in MATLAB are supplied with open application programming interface (OAPI) functions that enable mutual data transfer with a structural analysis software (SAP2000) to practically get the structural responses under the effect of load combinations containing earthquake load. The optimal truss designs yielded with TLBO and BBO algorithms are compared with those already existed in the literature. Accordingly, it has been concluded that the TLBO and BBO algorithms give successful solutions.

  AtıfScopus3·WoS2

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