Simplified Methods for Generative Design That Combine Evaluation Techniques for Automated Conceptual Building Design
Smart design and construction have emerged as pivotal forces in the construction industry. Numerous studies have been conducted in the realm of design optimization, using artificial intelligence data-driven approaches and optimization theories. This increase in research has sparked interest in gener...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/23/12856 |
| _version_ | 1797400379659386880 |
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| author | Jaewook Lee Wonho Cho Dongyeop Kang Jongho Lee |
| author_facet | Jaewook Lee Wonho Cho Dongyeop Kang Jongho Lee |
| author_sort | Jaewook Lee |
| collection | DOAJ |
| description | Smart design and construction have emerged as pivotal forces in the construction industry. Numerous studies have been conducted in the realm of design optimization, using artificial intelligence data-driven approaches and optimization theories. This increase in research has sparked interest in generative design, a process that automatically generates algorithm-based design alternatives, thereby reducing human effort and time by a significant margin. The objective of this study was to explore the potential of generative design to boost productivity within architectural practices and reduce redundant and unnecessary tasks for an aging construction workforce. Specifically, it illustrates the process of selecting superior alternatives by generating various three-dimensional layouts, using a generative design methodology. This occurs during the creation of a building layout concept with subsequent partial evaluations. The methodology of this study was mainly divided into four stages: objective setting, design algorithm development, the establishment of evaluation methodology, and the comparison of the results’ values. The findings of this study confirmed that the design algorithm and evaluation methodology form a single loop, generating a multitude of design alternatives that satisfy the algorithm designer’s evaluation criteria. |
| first_indexed | 2024-03-09T01:54:46Z |
| format | Article |
| id | doaj.art-5d1b9c2206a84d869343205f918f7c3e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T01:54:46Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5d1b9c2206a84d869343205f918f7c3e2023-12-08T15:11:57ZengMDPI AGApplied Sciences2076-34172023-11-0113231285610.3390/app132312856Simplified Methods for Generative Design That Combine Evaluation Techniques for Automated Conceptual Building DesignJaewook Lee0Wonho Cho1Dongyeop Kang2Jongho Lee3Korea Institute of Civil Engineering & Building Technology, Goyang-si 10223, Republic of KoreaImagine Builder, Seoul 06725, Republic of KoreaDepartment of Architecture & Architectural Engineering, Yonsei University, Seoul 03021, Republic of KoreaKorea Institute of Civil Engineering & Building Technology, Goyang-si 10223, Republic of KoreaSmart design and construction have emerged as pivotal forces in the construction industry. Numerous studies have been conducted in the realm of design optimization, using artificial intelligence data-driven approaches and optimization theories. This increase in research has sparked interest in generative design, a process that automatically generates algorithm-based design alternatives, thereby reducing human effort and time by a significant margin. The objective of this study was to explore the potential of generative design to boost productivity within architectural practices and reduce redundant and unnecessary tasks for an aging construction workforce. Specifically, it illustrates the process of selecting superior alternatives by generating various three-dimensional layouts, using a generative design methodology. This occurs during the creation of a building layout concept with subsequent partial evaluations. The methodology of this study was mainly divided into four stages: objective setting, design algorithm development, the establishment of evaluation methodology, and the comparison of the results’ values. The findings of this study confirmed that the design algorithm and evaluation methodology form a single loop, generating a multitude of design alternatives that satisfy the algorithm designer’s evaluation criteria.https://www.mdpi.com/2076-3417/13/23/12856design automationvisual programmingartificial intelligencecomputer-aided designcomputer-aided engineering |
| spellingShingle | Jaewook Lee Wonho Cho Dongyeop Kang Jongho Lee Simplified Methods for Generative Design That Combine Evaluation Techniques for Automated Conceptual Building Design Applied Sciences design automation visual programming artificial intelligence computer-aided design computer-aided engineering |
| title | Simplified Methods for Generative Design That Combine Evaluation Techniques for Automated Conceptual Building Design |
| title_full | Simplified Methods for Generative Design That Combine Evaluation Techniques for Automated Conceptual Building Design |
| title_fullStr | Simplified Methods for Generative Design That Combine Evaluation Techniques for Automated Conceptual Building Design |
| title_full_unstemmed | Simplified Methods for Generative Design That Combine Evaluation Techniques for Automated Conceptual Building Design |
| title_short | Simplified Methods for Generative Design That Combine Evaluation Techniques for Automated Conceptual Building Design |
| title_sort | simplified methods for generative design that combine evaluation techniques for automated conceptual building design |
| topic | design automation visual programming artificial intelligence computer-aided design computer-aided engineering |
| url | https://www.mdpi.com/2076-3417/13/23/12856 |
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