Enhancing performance-based generative architectural design with sketch-based image retrieval: a pilot study on designing building facade fenestrations

Zhao, Shenghuan; Wang, Luo; Qian, Xueming; Chen, Jianping

doi:10.1007/s00371-021-02170-x

Cited by 3 publications

(1 citation statement)

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“…Currently, AI is increasingly influencing architecture, with novel AI-related methods emerging each year. For instance, Rhee and Veloso demonstrated the use of deep learning to create urban layouts that mirror the style of those in the training dataset, showcasing a novel approach to urban design [27], while Zhao et al demonstrated an approach on a smaller scale, utilizing ML for facade design [28]. Similarly, Theodore Galanos showed how machine learning can drastically reduce the time needed for environmental analysis [29], while Zargar and Brown utilized neural networks for the static evaluation of architectural designs [30].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development

Płoszaj-Mazurek,

Ryńska

2024

Energies

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The construction sector is a significant contributor to global carbon emissions and a major consumer of non-renewable resources. Architectural design decisions play a critical role in a building’s carbon footprint, making it essential to incorporate environmental analyses at various design stages. Integrating artificial intelligence (AI) and building information modeling (BIM) can support designers in achieving low-carbon architectural design. The proposed solution involves the development of a Life Cycle Assessment (LCA) tool. This study presents a novel approach to optimizing the environmental impact of architectural projects. It combines machine learning (ML), large language models (LLMs), and building information modeling (BIM) technologies. The first case studies present specific examples of tools developed for this purpose. The first case study details a machine learning-assisted tool used for estimating carbon footprints during the design phase and shows numerical carbon footprint optimization results. The second case study explores the use of LLMs, specifically ChatGPT, as virtual assistants to suggest optimizations in architectural design and shows tests on the suggestions made by the LLM. The third case study discusses integrating BIM in the form of an IFC file, carbon footprint analysis, and AI into a comprehensive 3D application, emphasizing the importance of AI in enhancing decision-making processes in architectural design.

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Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development

Płoszaj-Mazurek,

Ryńska

2024

Energies

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Integration of convolutional and adversarial networks into building design: A review

Parente

Rodrigues

Rangel

et al. 2023

Journal of Building Engineering

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A systematic review on artificial intelligence applications in architecture

Bölek

Tutal

Özbaşaran

2023

DRArch

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Since the advent and usage of artificial intelligence approaches in architecture, a significant number of studies have focused on integrating technological solutions to architectural issues. Artificial intelligence applications in architectural design range from intelligent material design to architectural plan solutions. The ubiquity and distribution of research in this field, as well as the rising use of artificial intelligence techniques to solve design challenges, require an analytical classification of the essential literature review. This article presents a descriptive and analytical review of the work on artificial intelligence applications in architecture. A strong review has been made that identifies and addresses the gaps in artificial intelligence and architecture; and the literature review is transformed into statistical plots. The study's findings indicate a growing interest in artificial intelligence in the field of architecture. There is a need for novel research to be conducted in these areas using advanced technology and techniques.

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Enhancing performance-based generative architectural design with sketch-based image retrieval: a pilot study on designing building facade fenestrations

Cited by 3 publications

References 46 publications

Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development

Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development

Integration of convolutional and adversarial networks into building design: A review

A systematic review on artificial intelligence applications in architecture

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