Ağirbaş, Arda

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/12909
Name Variants
Job Title
Dr.Öğrt.Gör.
Email Address
Main Affiliation
01.01.10.02. Mimarlık Bölümü
Status
Current Staff
Website
ORCID ID
0000-0001-6330-7876
Scopus Author ID
58743812800
Turkish CoHE Profile ID
Google Scholar ID
3gVV_0MAAAAJ
WoS Researcher ID
MCY-1047-2025

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Documents

2

Citations

4

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Scholarly Output

2

Articles

2

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0/1

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

4

Scopus Citation Count

3

Patents

0

Projects

0

WoS Citations per Publication

2.00

Scopus Citations per Publication

1.50

Open Access Source

1

Supervised Theses

0

JournalCount
Buildings1
Light & Engineering1
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    Article
    Citation - WoS: 4
    Citation - Scopus: 3
    Facade optimization for an education building using multi-objective evolutionary algorithms
    (LLC Editorial of Journal ""Light Technik"", 2020) Arda Agirbas; Ebru Alakavuk; Alakavuk, Ebru; Agirbas, Arda
    Architectural design of a facade both at the aes-thetic point of view and from the point of view of internal daylighting performance of the build-ing can be considered as a complex task. In this study we implement a multi-objective evolutionary algorithm to formally exploration the process of reconstruction of the education building’s fa-cade. The purpose of this research is to create a facade configuration by considering the size and loca-tion of elements and their materials when creating a suitable internal daylight distribution. The total construction cost of the building’s exterior and the daylight performance of the building’s interior are considered as objectives. The problem formula-tion includes two conflicting objectives which are to increase daylighting aspect on each floor and reduce the total construction cost of the facade. To de-tect the approximation of Pareto fronts including non-dominated solutions we used a fast and elitist multi-objective genetic algorithm (NSGA-II). Computational and architectural results show that NSGA-II is efficient enough to demonstrate eligible facade design alternatives. © 2021 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Article
    Computational Design and Optimization of Discrete Shell Structures Made of Equivalent Members
    (Multidisciplinary Digital Publishing Institute (MDPI), 2025) Arda Agirbas; Seckin Kutucu; Agirbas, Arda; Kutucu, Seckin
    This paper presents a computational design method for generating discrete shell structures using sets of equivalent discrete members. This study addresses the challenge of reducing the geometrical variety in discrete shell elements by introducing a method to design and optimize constituent members considering their similarity approximation of the double-curved architectural surface and buildability. First we employed a relaxation-based computational form-finding method to generate a discrete topology with planar quad faces and an approximated smooth double-curved surface. Then we perform clustering and optimization based on face similarities concerning the minimization of deviations from the smooth surface approximation and the dihedral angle between the planes of neighboring elements and their optimal intersection plane. The proposed approach can reduce the geometrical differences in discrete shell elements while satisfying the user-defined error threshold. We demonstrated the viability of our method on various structured topologies with different boundary conditions support settings and total face counts while explicitly controlling inter-element facing angles for assembly ready contacts. This enables mold-based prefabrication with repeatable components. © 2025 Elsevier B.V. All rights reserved.