WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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Subject: search.filters.subject.genetic algorithm

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  • Article
    Citation - Scopus: 1
    Genetic Algorithm Optimization of Langevin Thermostat and Thermal Properties of Graphene-Aluminum Nanocomposites: a Molecular Dynamics
    (Iop Publishing Ltd, 2024) Toprak, Kasim
    The thermal properties of a laminated structure of graphene-coated aluminum composite nanomaterial were investigated through non-equilibrium molecular dynamics (NEMD) simulations to address the problem of temperature deviation in the thermostat volume applied. This paper presents a new insight into the best values of timestep and Langevin thermostat damping parameters for each atom in the nanomaterial with different size configurations using the genetic algorithm (GA) method by considering the timestep and thermostat damping parameters for each atom type, as well as the thickness of the nanomaterial, the thermostat, buffer, and heat flow lengths. The initial population results indicate that the thermostat temperature deviation increases with higher thermostat damping coefficients and timestep. However, the deviation decreases significantly with increased heat flow and thermostat lengths. Variations in buffer length and aluminum thickness do not have a significant effect on temperature. The application of a GA for optimization leads to a decrease in thermostat temperature deviation. The optimized parameters resulted in better thermostat temperature deviations when analyzing the temperature, aluminum thickness, and both buffer and thermostat lengths. Additionally, the thermal conductivity of aluminum-graphene nanomaterial decreases with increasing temperature, buffer length, and aluminum thickness, but increases by up to 9.85% with increasing thermostat length.
  • Conference Object
    Reverse Flood Routing in Rivers
    (International Association for Hydro-Environment Engineering Research, 2015) Tayfur, Gökmen; Moramarco, Tommaso
    This study developed model to do riverse flood routing in natural channels. The developed model has basically four components: (1) it expresses an inflow hydrograph by a Pearson Type-III distribution, involving parameters of peak discharge, time to peak, and a shape factor; (2) it employs the basic continutiy equation for flow routing, (3) it relates the storage to downstream flow stage and channel characterictis; and (4) it relates the lateral flow to downstream flow discharge with coefficients. The parameters, coefficients and exponents of the models were obtained using the genetic algorithm method. The developed models are applied to generate upstream hydrographs, using just downstream station information for Ponte Nuovo and Monte Molino river reach of 30.8 km distance within the same basin where the wave travel time is 3h and drainage area is about 1135 km(2). Inflow hydrographs were generated and compared against the observed ones. The model simulation of inflow hydrographs were satisfactory.