A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage
In the past decade, the construction speed of high-rise office towers worldwide has exhibited explosive growth. The unique morphological characteristics of high-rise office towers result in higher shape factors and relatively larger thermal loads. The traditional workflow of “design-evaluation” in t...
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KeAi Communications Co., Ltd.
2025-02-01
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| Series: | Frontiers of Architectural Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095263524000979 |
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| author | Liwei Chen Ye Zhang Yue Zheng |
| author_facet | Liwei Chen Ye Zhang Yue Zheng |
| author_sort | Liwei Chen |
| collection | DOAJ |
| description | In the past decade, the construction speed of high-rise office towers worldwide has exhibited explosive growth. The unique morphological characteristics of high-rise office towers result in higher shape factors and relatively larger thermal loads. The traditional workflow of “design-evaluation” in the early stages of design imposes constraints on the diversity of tower morphology, the timeliness of performance evaluation, and the efficient integration of systems. Therefore, targeting the geometric characteristics of high-rise office towers, a systematically developed and universally applicable design grammar, named “Vertex-Based Polygonal Generative Grammar (VPGG)” is proposed. Additionally, a corresponding early-stage performance driven High-rise Office Tower Generative Design Framework (HOT_GDF) is introduced. Case study results demonstrate that, with the support of Artificial Neural Network, utilizing this system can not only globally explore the diversity of tower morphologies but also efficiently uncover greater energy-saving potential in complex architectural forms compared to simpler cubic forms, with an improvement of up to 7.76% during the early stages of design. Designed from the perspective of architects, the framework achieves logical, refined, and visual real-time interaction between computers and human minds during the early stages of tower design. This enhances design efficiency and facilitates design decision-making. It systematically integrates considerations for environmental performance, such as thermal load and thermal comfort, into the design process. Furthermore, it couples various aspects of morphological design with corresponding building performance, helping users in making design decisions from a rational and quantifiable perspective. This captures greater design potential, encompassing both form and performance, for high-rise office towers during the initial design phase. |
| format | Article |
| id | doaj-art-d5c4ed815dd842889fa4e6e6f4908c8b |
| institution | Kabale University |
| issn | 2095-2635 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Frontiers of Architectural Research |
| spelling | doaj-art-d5c4ed815dd842889fa4e6e6f4908c8b2025-01-21T04:13:02ZengKeAi Communications Co., Ltd.Frontiers of Architectural Research2095-26352025-02-01141145171A performance-based generative design framework based on a design grammar for high-rise office towers during early design stageLiwei Chen0Ye Zhang1Yue Zheng2School of Architecture, Tianjin University, Tianjin 300072, ChinaSchool of Architecture, Tianjin University, Tianjin 300072, ChinaCorresponding author.; School of Architecture, Tianjin University, Tianjin 300072, ChinaIn the past decade, the construction speed of high-rise office towers worldwide has exhibited explosive growth. The unique morphological characteristics of high-rise office towers result in higher shape factors and relatively larger thermal loads. The traditional workflow of “design-evaluation” in the early stages of design imposes constraints on the diversity of tower morphology, the timeliness of performance evaluation, and the efficient integration of systems. Therefore, targeting the geometric characteristics of high-rise office towers, a systematically developed and universally applicable design grammar, named “Vertex-Based Polygonal Generative Grammar (VPGG)” is proposed. Additionally, a corresponding early-stage performance driven High-rise Office Tower Generative Design Framework (HOT_GDF) is introduced. Case study results demonstrate that, with the support of Artificial Neural Network, utilizing this system can not only globally explore the diversity of tower morphologies but also efficiently uncover greater energy-saving potential in complex architectural forms compared to simpler cubic forms, with an improvement of up to 7.76% during the early stages of design. Designed from the perspective of architects, the framework achieves logical, refined, and visual real-time interaction between computers and human minds during the early stages of tower design. This enhances design efficiency and facilitates design decision-making. It systematically integrates considerations for environmental performance, such as thermal load and thermal comfort, into the design process. Furthermore, it couples various aspects of morphological design with corresponding building performance, helping users in making design decisions from a rational and quantifiable perspective. This captures greater design potential, encompassing both form and performance, for high-rise office towers during the initial design phase.http://www.sciencedirect.com/science/article/pii/S2095263524000979Performance-based generative design systemsDesign grammaDesign automationPerformance optimizationThermal loadHigh-rise office tower |
| spellingShingle | Liwei Chen Ye Zhang Yue Zheng A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage Frontiers of Architectural Research Performance-based generative design systems Design gramma Design automation Performance optimization Thermal load High-rise office tower |
| title | A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage |
| title_full | A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage |
| title_fullStr | A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage |
| title_full_unstemmed | A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage |
| title_short | A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage |
| title_sort | performance based generative design framework based on a design grammar for high rise office towers during early design stage |
| topic | Performance-based generative design systems Design gramma Design automation Performance optimization Thermal load High-rise office tower |
| url | http://www.sciencedirect.com/science/article/pii/S2095263524000979 |
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