Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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  • Conference Object
    A General Predictive Model to Evaluate Daylight Levels of Residential Buildings in the Mediterranean (Next Med) Region
    (Education and Research in Computer Aided Architectural Design in Europe, 2025) Ekici, B.
    Conceptual design is one of the most critical phases, as design decisions affect the buildings’ performance throughout their life cycle. Researchers consider various computational methods to achieve effective design proposals. Nevertheless, optimization algorithms are necessary to cope with the complexity and increase the efficiency of design alternatives in various aspects. In sustainable building design, these decisions require computationally expensive processes due to the simulation tasks. Besides, making sustainable design decisions is even more challenging in a Mediterranean climate due to changing conditions throughout the year. Therefore, recent studies frequently consider combining predictive models with optimization algorithms to decrease the burden of expensive simulation time. Relevant works present promising outcomes, yet they are limited to predicting the building performance of specific cases; thus, the proposed predictive models are limited to different design problems. This paper investigates the development of a general machine learning (ML) model to overcome this issue. With this motivation, a parametric test box consisting of twenty parameters related to weather data of twelve Mediterranean (Next Med) countries, space dimensions, vertical/horizontal louvers, and material type is developed using Grasshopper 3d. Moreover, a parametric urban model, which considers eight parameters related to the density of the surrounding buildings, is also created to generate numerous environments. The LadyBug tools simulate the daylight autonomy to generate 12,000 samples. Five different ML models involving artificial neural networks (ANN) are built in Python. Statistical results showed that train and test scores achieved promising outcomes in all ML models. However, when predicting user-defined scenarios not involved in the generated dataset, only ANNs perform generalizable, accurate predictions. The paper discusses the ability of ANN models to accurately predict different design scenarios and locations, and the trustworthiness of the training and test scores based only on collected data. © 2025, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Design Alternatives of Light Shelves Using Altmann Linkage
    (Solarlits, 2024) Atarer, Fulya; Korkmaz, Koray; Kiper, Gokhan
    This paper proposes a novel new light shelf design with Altmann linkage using its kinetic principles: geometry and rotational angles. As previous studies explain a light shelf's design in two ways: static and movable, the proposed one in this study has the potential to track the path of the sun due to its diagonal movement. The primary purpose is to direct the light shelf to intermediate directions, such as southeast and southwest, by utilizing the geometric properties of the Altmann linkage. The study explains how to dimension the links, calculate rotation angles, and model this device in Relux to test its daylight performance on specific dates in a year. A total of nine variations were analyzed during the three phases of design. They include shelf forms such as a rectangle, two rectangles, two squares, and varying link lengths, which define the distance to the windowsill. The final set of variations with two-square forms moving west and east successfully satisfied with sDA values as 71.52%, 72.99% (w), 75.92% (e); with ASE values as 8.83%, 8.56% (w), and 8.22% (e). This best design of Altmann linkage would be beneficial as an adaptive fa & ccedil;ade module that can direct daylight inside and achieve proper shading throughout the day and year. (c) 2024 The Author(s). Published by solarlits.com. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Changes in Attention and Mental Rotation Performance in Relation To Luminance Variations in Educational Spaces
    (Institute of Electrical and Electronics Engineers, 2020) Öner, Merve; Kazanasmaz, Zehra Tuğçe
    This paper attempts to investigate attention and mental rotation performance of students under two groups of luminance ratios in the visual field during VDT work. Each experiment was conducted under daylit conditions and consisted of two trials (with and without shading device) which were carried out in one experimental session. Twenty university students were recruited as participants to perform cognitive test as well as to administer subjective evaluations in a mock-up VDT station. Luminance ratios were grouped based on the ratios between bright light and direct surroundings. Results showed that the students gave faster responses for finding the correct target when the luminance distribution was not uniform whereas the number of correct answers given was higher when the luminance distribution was uniform. Subjective sensation of visual discomfort and lighting appraisal were in the same trend, indicating uniform luminance distribution was more appreciated by the participants. Based on these findings, the study provides additional insights in the effect of luminance patterns on individuals' performance, health and wellbeing in educational buildings. © 2020 IEEE.