Yazar "Olgun, Murat" seçeneğine göre listele

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    Investigation of optimal designs for concrete cantilever retaining walls in different soils
    (2020) Uray, Esra; Çarbaş, Serdar; Erkan, İbrahim Hakkı; Olgun, Murat
    In this paper, the investigation of the optimum designs for two types of concrete can-tilever retaining walls was conductedutilizing the artificial bee colony algorithm. Sta-bility conditions like safety factors of sliding, overturningand bearing capacity and some geometric instancesdue to inherent of the wall were considered as the design constraints. The effect of the existence of the key in wall design on the objective func-tion was probed for changeableproperties of foundation and backfill soils. In optimi-zation analysis, the concrete of the wall, which directly affectsparameters such as carbon dioxide emission and the cost,was considered as the objective function and analyzes were performed according to different discrete design variables. The opti-mum concrete cantilever retaining wall designs satisfying constraints of stability conditions and geometric instanceswere obtained for different soil cases. Optimum designs of concrete cantilever retaining wall with the key were attained in some soil cases which were not foundthe feasible optimum solution of the concrete cantilever retaining wall. Results illustratethat the artificial bee colony algorithm was a favor-ablemetaheuristic optimization method togainoptimum designs of concrete canti-lever retaining wall.
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    Öğe
    Investigation of parametric effect in optimum retaining wall design using harmony search algorithm
    (Springer Science and Business Media Deutschland GmbH, 2022) Uray, Esra; Çarbaş, Serdar; Olgun, Murat
    This study focuses on the investigation of the parametric effect of the harmony search algorithm on design variables for optimum cantilever retaining wall design. Variance analyses have been performed for the detection of design parameters which are taken as discrete variables in the optimization process and percentages of the parameter effect have been calculated, as well. Optimum results obtained by the harmony search algorithm have been examined according to the parameter effect of design variables statistically determined via the Taguchi method. Eventually, the attained results have shown that changing the value of the effective design parameter in the design positively contributes to the optimization process. In addition, it has been observed that developing a new solution for the design parameter which has little effect on the design is not significant in converging to the optimum solution.