A method suggestion for determining architectural design decisions
2023
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Advisor: Prof. Dr. Cengiz Tavşan
Abstract (EN)
The aim of this study is to find a way to create forms that can meet different architectural needs at the same time by using generative design methods focused on environmental comfort. In other words, it tries to present the process of reaching the basic principles of architecture, such as the right permutation, the right direction, the amount of distance between forms, in a single process. In order to better understand the problem, a comparative method was used and a project implemented in Trabzon-Turkey in 2022 was tested again with algorithmic intelligence. Permutation concepts in polygonal geometry select vertices as permutation points, but unfortunately the distribution and topography of the area in the area under study do not follow a particular geometry. In order to achieve this aim, first of all, the climate and environmental comfort concepts of the site were investigated with the Ladybug + Honey Bee algorithm, then the desired algorithm was coded according to the objective functions. Independent variables such as the location of the building, its height, the amount of rotation of the building are accepted as inputs to the model. In order to provide the energy received, the goal of reaching the maximum distance with the best direction was determined. The algorithm code of this project is set to cover many purposes. This research can be extended to different design and project areas and fortunately allows architects to vary the dimensions and number of inputs according to the views and needs of the project.
Author
Dr. Nıloufar Akbarzadeh
Institution
How to Cite
Nıloufar Akbarzadeh (Doctorate thesis). A method suggestion for determining architectural design decisions, 2023, Karadeniz Technical University.
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