A Case Study on Generative Building Skin Forming by Employing Building Information Modelling (BIM) Tools

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dc.authorid0000-0001-6740-3443en_US
dc.contributor.authorYönder, Veli Mustafa
dc.date.accessioned2021-08-24T09:26:27Z
dc.date.available2021-08-24T09:26:27Z
dc.date.issued2020en_US
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractPurpose This study aims to produce generative curtain wall geometries based on predetermined parameters such as storey information, shadow zones, preliminary building unit cost, frequency, etc. in a BIM platform for the preliminary design of a future project in Basmane and understand its novel outcomes and implications. Design/Methodology/Approach The methodology is construed over four successive phases, namely: the built environment modeling, analyses for a solid understanding of the study area, determination of the generative design criteria, and finally design solutions. In the initial phase, the case-study building in Basmane with the surrounding environment was digitally modeled for the following analyses. Several programs apart from BIM have been utilized for the daylight zones and wind simulations. The daylight areas affecting the surface of the studied building were marked schematically per the simulation data. Subsequently, the area of the curtain wall, material type, preliminary building unit cost (assembly/labor and material cost), the height of storey, the density of elements, and fixed shading devices parameters were tested via optimization thru generative design methodology and provide potential design solutions by utilization of BIM tools. Findings The findings of this study could be boiled down to a single comprehensive objective of generating outputs of assorted design solutions thru a generative design approach. When the output data set is visualized via parallel coordinate graphs, it could be well articulated that the classification of rule-based relationships and the criteria interrelations were based on the designer's decisions. Research Limitations/Implications This study was examined on a case basis by an experimental approach. It shall be considered that the curtain wall construction encompasses diverse materials, connection details, and construction techniques that affect the final cost thus this research was conducted at the preliminary design stage and might not reflect actual costs. Social/Practical Implications Albeit the technical aspect of the curtain walls is not included in this case study, it helps generative design culture by demonstrating the extent of the opportunities it offers to designers in the preliminary design stage. Originality/Value This study is a show-case of a preliminary design for an actual building stock in the vicinity of Basmane focusing on the building envelope design process with multiple parameters and should be regarded as an opportunity to understand how innovative solutions alike are put forward for the use of designers.en_US
dc.identifier.citationYönder, V. M. (2020). A Case Study on Generative Building Skin Forming by Employing Building Information Modelling (BIM) Tools. Iconarp International Journal of Architecture and Planning, 8, 1-17.en_US
dc.identifier.doi10.15320/ICONARP.2020.140en_US
dc.identifier.endpage17en_US
dc.identifier.issn2147-9380en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/41828
dc.identifier.volume8en_US
dc.language.isoenen_US
dc.publisherSelcuk University Faculty of Architectureen_US
dc.relation.ispartofICONARP International Journal of Architecture and Planningen_US
dc.relation.publicationcategoryMakale - Kategori Belirleneceken_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectBuilding Skinen_US
dc.subjectBIMen_US
dc.subjectGenerative Design (GD)en_US
dc.subjectVisual Programming Languageen_US
dc.subjectBina Kaplamasıen_US
dc.subjectÜretken Tasarımen_US
dc.subjectGörsel Programlama Dilien_US
dc.titleA Case Study on Generative Building Skin Forming by Employing Building Information Modelling (BIM) Toolsen_US
dc.typeArticleen_US

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