Using machine learning techniques for architectural design tracking: An experimental study of the design of a shelter

Millán, Eva; Belmonte, María‐Victoria; Purkiss, Javier Boned; Gavilanes, Juan; Pérez-de-la-Cruz, José-Luís; Díaz-López, Carmen

doi:10.1016/j.jobe.2022.104223

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…AI's capacity to analyze extensive datasets and extract meaningful insights has enabled architects to optimize design solutions, enhance spatial efficiency, and even predict environmental impacts. Machine learning algorithms, trained on historical architectural data, contribute to the creation of design patterns blending aesthetic appeal with functional efficiency (Tamke et al, 2018;Cámara et al, 2021;Millán et al, 2022;Ploszaj-Mazurek et al, 2020). This section explores how AI serves not just as a tool but as a design partner, influencing decisions from initial conceptualization to the final detailing of architectural projects.…”

Section: Introductionmentioning

confidence: 99%

Leading-Edge Technologies for Architectural Design: A Comprehensive Review

Rane,

Choudhary,

Rane

2023

IJARP

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In architecture, the incorporation of state-of-the-art technologies is crucial for advancing design methodologies and achieving groundbreaking solutions. This exhaustive review delves into a diverse array of cutting-edge technologies reshaping the architectural design landscape. The scrutinized technologies not only amplify the efficiency of design processes but also contribute to the development of sustainable, adaptable, and technologically advanced built environments. Commencing with an exploration of Artificial Intelligence (AI) in architectural design, the paper underscores how machine learning algorithms and neural networks are revolutionizing the conceptualization and optimization of architectural forms. Emphasis is placed on AI's capacity to analyze extensive datasets, predict design trends, and generate alternative designs, thereby fostering creativity and streamlining the design process. The immersive potential of Virtual Reality (VR) and Augmented Reality (AR) in architecture is thoroughly examined. The paper elucidates how these technologies are not only transforming the visualization of designs but also facilitating collaborative design processes, enabling stakeholders to experience spaces before the commencement of construction. Parametric Design and Computational Modeling are scrutinized extensively, showcasing their pivotal role in crafting intricate and optimized structures. The exploration extends to Building Information Modeling (BIM), elucidating its significance in promoting collaboration, reducing errors, and streamlining the entire building lifecycle. Moreover, Sustainable Building Materials and Technologies, Generative Design, ChatGPT, 3D/4D/5D/6D Printing, Responsive Architecture, Drones and Aerial Imaging, Digital Twin Technology are focused. Smart Building Systems, integrating IoT technologies, are explored for their role in enhancing building performance, energy efficiency, and occupant comfort.

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Section: Introductionmentioning

confidence: 99%

Leading-Edge Technologies for Architectural Design: A Comprehensive Review

Rane,

Choudhary,

Rane

2023

IJARP

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“…These tools range from the most simplified ones that aim to estimate the environmental impact in the early stages of design. However, they do not consider other life cycle stages to the most complex programmes that allow for modelling buildings and its built environment, providing vast information on materiality, constructive solutions, and environmental parameters [23]. For example, Bombyx [24], a Grasshopper add-on that allows for the geometry modification and real-time calculation of the environmental impact according to the materials and shape generated, creates and modifies the parameters of a base model to obtain parametric results using mechanical elements [25] that, by applying a series of algorithms, modify 3D design parameters to obtain complex shapes.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Parametric Design Parameters That Influence Environmental Ergonomics and Sustainability

et al. 2023

Self Cite

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The parametric design applied to the built environment is critical to creating sustainable and resilient spaces. However, this research field involves a vast and complex amount of disconnected information. Therefore, this paper aims to analyse research trends in applying parametric design to optimise sustainability and environmental ergonomics parameters in built environments. The following specific objectives are identified to meet this objective: (i) a quantitative analysis based on a systematic literature review; (ii) a qualitative review based on a performance analysis and scientific mapping; and (iii) a comparative analysis of case studies applying parametric language for the optimisation of sustainability and environmental ergonomics parameters. The 1045 research records covering 1974 to 2021 illustrate a field in development that evolves from early digital advances to climate change adaptations, the circular economy and resilience. It highlights the importance of applying bioclimatic techniques in the built environment, identifying the most optimised measures and encouraging the creation of guidelines to serve as a protocol for future studies, contributing to the existing body of knowledge by highlighting trends, establishing research themes, outlining research networks and suggesting areas for further studies.

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Machine learning in architecture

Topuz,

Çakici Alp

2023

Automation in Construction

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Using machine learning techniques for architectural design tracking: An experimental study of the design of a shelter

Cited by 5 publications

References 27 publications

Leading-Edge Technologies for Architectural Design: A Comprehensive Review

Leading-Edge Technologies for Architectural Design: A Comprehensive Review

A Study on the Parametric Design Parameters That Influence Environmental Ergonomics and Sustainability

Machine learning in architecture

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