CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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Hits 1 to 12 of 12

_id architectural_intelligence2023_4
id architectural_intelligence2023_4
authors Xiang Wang, Ziqi Zhou, Xueyuan Lv, Li Yang, Philip F. Yuan & Lei Chen
year 2023
title Intelligent renovation of existing Olympic venues: digital design and construction strategy of a DfD-based prefabricated structure system
doi https://doi.org/https://doi.org/10.1007/s44223-022-00018-5
source Architectural Intelligence Journal
summary This article introduces introduces a new prefabricated and assembled steel structure system and its key construction technologies for repeated switching scenes in existing stadiums. This steel structure system follows the DfD design method, minimizing the volume of each group of structural member units and separating the connection interfaces between members. In order to improve the construction and assembly efficiency of all the structural components, this study establishes an assembly-oriented BIM model data system by adding customized attributes in the family library in Autodesk REVIT. By associating model attributes with on-site monitoring data of the construction process, this research realizes real-time acquisition and display of construction data of all components during the whole life cycle. At the same time, aiming at the requirements of high-precision positioning and digital dynamic monitoring in future on-site construction, this research proposes an innovative construction positioning monitoring method which combines motion capture system with traditional construction monitoring technology. By correcting the positioning data of motion capture system with traditional construction monitoring data, real-time dynamic monitoring of several monitoring points in a 12*15 m large site is realized and the measurement error is controlled within ±1 mm. This study takes the construction project of “ice-water conversion” from the main swimming pool of the National Swimming Center in the Summer Olympic Games to the curling venue of the Winter Olympic Games as an example to show the important role of relevant technology to improve the construction efficiency in the construction application for the renovation of existing Olympic venues.
series Architectural Intelligence
email
last changed 2025/01/09 15:00

_id architectural_intelligence2023_11
id architectural_intelligence2023_11
authors Hua Chai & Philip F. Yuan
year 2023
title Hybrid intelligence
doi https://doi.org/https://doi.org/10.1007/s44223-023-00029-w
source Architectural Intelligence Journal
summary Alongside shifts in the technological landscape, the origin of creativity in architectural design has been consistently evolving. According to French philosopher Bernard Stiegler, the architectural design process is never individualistic but rather shaped by the complex interaction between human creativity and what he terms the “pre-individual milieu”, the synthesis of various factors such as cultural heritage, technological innovation (Stiegler, 2016). Over the last three decades, the emergence of digital technologies such as the Internet of Things, virtual reality, and artificial intelligence has significantly enhanced the dynamism and diversity of human–machine communication. With the advancement of digital technologies in the field of architecture, artificial intelligence, machine intelligence, and material intelligence are increasingly integrated into the creative process. In the form of hybrid intelligence, this shift expands the scope of architectural creativity and creative agency beyond the mere intelligent landscape of the human mind. As suggested by architectural theorist Antoine Picon, “another possibility is to consider the pairing of man and machine as a new composite subject……This proposition is suggested by various contemporary reflections on computer technologies and their anthropological dimension” (Picon, 2011).
series Architectural Intelligence
email
last changed 2025/01/09 15:00

_id architectural_intelligence2023_15
id architectural_intelligence2023_15
authors Philip F. Yuan, Tianyi Gao, Sijia Gu & Liming Zhang
year 2023
title Methodology of fabricating 3D printing modified plastic single-layer panels with UAV positioning technology in the era of mass customization
doi https://doi.org/https://doi.org/10.1007/s44223-023-00037-w
source Architectural Intelligence Journal
summary Mass customization of prefabricated architecture is becoming increasingly crucial for developing the architectural industry. Advanced technologies such as 3D printing and unmanned aerial vehicles (UAV) has brought opportunities and challenges for traditional fabrication and construction methodology. Based on these emerging digital design tools and intelligent construction methods, this paper presents a novel methodology for fabricating single-layer 3D printing panels using UAV positioning technology, which has the potential to revolutionize the construction process and enhance the overall efficiency. This paper first provides a comprehensive review of the existing technologies in 3D printing and UAV positioning, highlighting their benefits and limitations in the context of construction applications. Next, a step-by-step process for fabricating single-layer 3D printing panels is introduced, detailing the optimal design parameters, material selection, and printing techniques. The utilization of UAV for precise positioning and alignment of the panels is then discussed, including the development of an on-site installation for accurate control. To validate the proposed method, a construction practice of the Chengdu Agricultural Expo Centre is produced o demonstrate the promising manufacturing and installation of single-layer 3D printed panels using UAV positioning technology. The results indicate that this method significantly reduces construction time, material waste, and labour costs, while also demonstrating significant customization and design flexibility.
series Architectural Intelligence
email
last changed 2025/01/09 15:03

_id caadria2023_347
id caadria2023_347
authors Li, Keke, Wu, Hao, Ding, Xiangwen, Li, Haowei and Yuan, Philip F.
year 2023
title Bespoke 3D Printed Chair: Research on the Digital Design and Fabrication Method of Multi-Body Pose Fusion
doi https://doi.org/10.52842/conf.caadria.2023.1.169
source Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 169–178
summary Customization has become a vital part of the post-industrial production model. Traditional production methods struggle with the challenge of collecting large amounts of data and the high costs of customization. With advancements in big data and deep learning algorithms, it is now possible to reduce the difficulty and cost of data collection, resulting in more accurate individual customization. This paper presents a proposed workflow for customizing multi-position seating for individuals. Using deep learning algorithms such as OpenPose and parametric design platforms such as Grasshopper, the workflow transforms user-generated photos of the body into a seating model that fits corresponding positions. This process combines deep learning algorithms, simplifies the data collection and processing process, and provides an interface for user interaction on the Grasshopper platform. The workflow provides a comprehensive example of data-driven customization in the context of big data. It explores the potential of a new paradigm in digital design where data is the primary driving force.
keywords Customization, Posture recognition, Multi-platform collaboration, Deep Learning, Workflow
series CAADRIA
email
last changed 2023/06/15 23:14

_id cdrf2023_315
id cdrf2023_315
authors Wenjing Li, Xinhui Xu, Mehdi Makvandi, Zhuoyang Sun, Philip F. Yuan
year 2023
title The Use of Normative Energy Calculation for Natural Ventilation Performance-Driven Urban Block Morphology Generation
doi https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_27
source Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary Exploring the three-state coupling relationship between “urban block morphology, carbon emissions, and human comfort” is necessary when making preliminary design decisions. Currently, morphology generative design is subject to interactions between the level of model definition and simulation duration. Self-intelligent and intelligent generative design workflows using evolutionary algorithms are now becoming an effective solution to this problem. This paper incorporates a dedicated controllable ventilation model based on a normative performance calculator and proposes it in the morphology feedback generation execution of the automated design process. The aim is to develop this automated design method from ambient environment driving only to outside-interior coupling natural potential ventilation influencing morphology generation, with the aim of providing technical support for carbon emission performance-oriented and indoor human comfort-oriented design of urban blocks.
series cdrf
email
last changed 2024/05/29 14:04

_id architectural_intelligence2023_21
id architectural_intelligence2023_21
authors Chaohao Su, Meiqin Yuan, Yi Fan, Lu Zhu & Nan Hu
year 2023
title Parametric design and modular construction of a large additive-manufactured hypar shell structure
doi https://doi.org/https://doi.org/10.1007/s44223-023-00041-0
source Architectural Intelligence Journal
summary Despite recent advances in additive manufacturing technologies, challenges remain to build 3D-printed structures at the architectural scale due to the high cost of large printing equipment. To address this challenge, modular construction has demonstrated its merit by making smaller prefabricated components and using on-site assembly. This paper presents a case study of a 3D-printed hypar shell structural art using modular construction. Guided by parametric design and structural analysis, we optimized the hypar shell to form a butterfly-like shape with a hollow-out pattern. The prefabrication of modular units was completed using commercial 3D printers to catch a limited production time. The prefabricated modular unit of the hypar shell was assembled on site for the Guangzhou International Light Festival, in which the lighting effect was added through the adjustable transparency of hollow spaces within the sandwiched panels. The 3D-printed hypar shell was also disassembled and rebuilt in the UK, showcasing the adaptability and flexibility of the modular design. The resulting 3D-printed structural art not only provides unique aesthetics for the built environment but also demonstrates the possibility of building large shell structures with a low budget by reducing complex falsework.
series other
type normal paper
email
last changed 2025/01/09 15:04

_id artificial_intellicence2019_129
id artificial_intellicence2019_129
authors Hua Chai, Liming Zhang, and Philip F. Yuan
year 2020
title Advanced Timber Construction Platform Multi-Robot System for Timber Structure Design and Prefabrication
doi https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_9
source Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary Robotic Timber Construction has been widely researched in the last decade with remarkable advancements. While existing robotic timber construction technologies were mostly developed for specific tasks, integrated platforms aiming for industrialization has become a new trend. Through the integration of timber machining center and advanced robotics, this research tries to develop an advanced timber construction platform with multi-robot system. The Timber Construction Platform is designed as a combination of three parts: multi-robot system, sensing system, and control system. While equipped with basic functions of machining centers that allows multi-scale multifunctional timber components’ prefabrication, the platform also served as an experimental facility for innovative robotic timber construction techniques, and a service platform that integrates timber structure design and construction through real-time information collection and feedback. Thereby, this platform has the potential to be directly integrated into the timber construction industry, and contributes to a mass-customized mode of timber structures design and construction.
series Architectural Intelligence
email
last changed 2022/09/29 07:28

_id architectural_intelligence2023_16
id architectural_intelligence2023_16
authors Philip F. Yuan
year 2023
title Toward a generative AI-augmented design era
doi https://doi.org/https://doi.org/10.1007/s44223-023-00038-9
source Architectural Intelligence Journal
summary With the rapid development of Artificial Intelligence (AI), the relationship between humans and machines has become a significant concern. One view suggests that AI will possess subjectivity: Matias del Campo emphasises that, unlike traditional tools that teach machines how to perform, artificial intelligence teaches machines how to learn (Campo, 2022). According to him, AI has the capability and awareness to recognise the world; Neil Leach et al. argue that AI will replace the majority of architects, resulting in widespread unemployment (Leach, 2021). Other opinions hold that AI is unconscious, incapable of thought, and identical to tools such as cellular automata machines, parameterisation, etc. According to Mario Carpo, the data-driven AI employs iterative optimisation to solve problems, which must be quantifiable and amenable to optimisation. Therefore, AI’s role as a tool is limited to measurable phenomena and factors (Carpo, 2023).
series Architectural Intelligence
email
last changed 2025/01/09 15:03

_id cdrf2023_305
id cdrf2023_305
authors Wang Yueyang, Philip F. Yuan
year 2023
title A Parametric Approach Towards Carbon Net Zero in Agricultural Planning
doi https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_26
source Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary This paper presents a new tool called the Space Data Generator, which is a parametric tool for organizing open spaces in rural areas. It can optimize the layout of buildings, solar panels, and agricultural planting spaces. While architects have been exploring ways to achieve net-zero carbon emissions in building design, it is equally important to attain a feasible carbon-neutral goal in rural areas. This is particularly crucial as 40% of the world’s population resides in rural areas, and transitioning towards a more sustainable and efficient economy can bring about not only moral but also economic benefits through proper management [1]. The Space Date Generator offers a powerful spatial planning approach for optimizing and planning agricultural resources on any given land. This innovative tool utilizes a combination of remote sensing to generate precise maps of the land, providing a comprehensive understanding of its terrain and potential agricultural resources. With this information, farmers and land managers can make informed decisions about crop selection, irrigation, and fertilizer application, among other factors. By using the Space Date Generator, they can optimize the use of available resources and maximize crop yields, ultimately increasing profitability and sustainability in agriculture [2]. Overall, the Space Date Generator is a valuable tool for any farmer or land manager looking to make the most of their land and resources. Its ability to provide detailed and accurate data on the land’s potential agricultural resources can help to streamline decision-making processes and ultimately lead to more efficient and sustainable land use practices. 1. The Space data generator uses the collected site coordinate information, geographical status (including stones, lakes, and water patterns), and the planted plants’ price as input. 2. Divide the site into small squares, then configure enough solar panels in the optimal sunlight area of the site to meet the user’s needs, and then plant crops on the remaining land. 3. The Space data generator will analyze the number of calories a household needs each year as a percentage. If there is a surplus, the excess food can be allocated to generate economic outcomes on the market. The land area at hand will be subdivided based on its sun ratio, which is a relatively straightforward process. However, we are also interested in determining the value of excess vegetation that may grow in the allocated space. In this regard, the Space Data Generator can prove to be a valuable tool, not only for this particular scenario but also in other types of agricultural settings such as those involving a mix of livestock and crops. Additionally, it may be possible to use this tool to calculate the optimal harvesting of various plant species at different points in the seasonal cycle. The Space Date Generator has the potential to offer valuable references for optimizing agricultural schemes. However, it must provide users with completely accurate results. Unfortunately, it currently cannot measure crucial factors such as soil type and moisture level, which are essential for agricultural planning. Despite this limitation, the Space Data Generator is a flexible tool that can be modified as research advances, allowing for more inputs to be added to improve its accuracy. Moreover, the Space Data Generator can provide guidance in various other areas based on the specific needs of the user. For instance, it can offer guidelines for traffic and urban design, among other demands. By leveraging this technology, users can access more precise and relevant information, enhancing their decisionmaking capabilities. As such, the Space Data Generator represents a valuable tool for various industries and sectors.
series cdrf
email
last changed 2024/05/29 14:04

_id caadria2023_311
id caadria2023_311
authors Wu, Hao, Gu, Sijia, Gao, Xiaofan, Luo, Jiaxiang and F. Yuan*, Philip
year 2023
title Extrusion-to-Masoning: Robotic 3D Concrete Printing of Concrete Shells As Building Floor System
doi https://doi.org/10.52842/conf.caadria.2023.2.139
source Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 139–148
summary Efficient floor systems can reduce the carbon footprint of building industry by reducing material, thereby responding to the UN Sustainable Development Goals (SDGs). Tile vault, a kind of masonry shell structure in history, can provide inspiration for extrusion-based 3D concrete printing. In this research, an “Extrusion-to-Masoning” perspective is proposed to evaluate, analysis, and simulate 3DCP. The variable-width filaments of 3DCP can be interpreted as variable-width bricks. The staggering pattern between different layers is studied. Three concrete shells with different layer-staggering patterns are printed and quantitative structural testing experiments are carried out. Then a totally printed floor slab prototype is designed and fabricated at the basis of one of the shells.
keywords 3d concrete printing, tile vault, concrete shell, efficient floor slab, extrusion-to-masoning
series CAADRIA
email
last changed 2023/06/15 23:14

_id caadria2023_373
id caadria2023_373
authors Zhou, Xinjie, Gong, Lei and Yuan*, Philip F.
year 2023
title A Large Scale 3D Printing Method for Skeletonized Surfaces Based on Graph Theory
doi https://doi.org/10.52842/conf.caadria.2023.2.221
source Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 221–230
summary For large-scale Additive manufacturing, while manufacturing thin nonplanar components by printing contours, the printing direction is often perpendicular to the surface, so the components cannot have complex topological features. At the same time, large-scale additive manufacturing is difficult to achieve skeletonized patterns due to the nozzle size and material limitations. Most of the existing printing methods for skeletonized structure use the level set method, which is difficult to adapt to thin shells. This paper introduces a new printing method for 3D printing skeletonized surfaces. The method uses a graph-theoretic approach to plan the printing path, combining the size of the nozzle and the structure of the surface, to enable the printing of surfaces with complex topological features. A 3D printing case is used to verify and prove the practicality of the method. Experimental results show that the method proposed in this paper can effectively solve the problem of printing skeletonized hyperbolic shells and can achieve a continuous printing path. However, there is still room for improvement in many areas of the method to improve print quality.
keywords graph theory, continuous toolpath, additive manufacturing, shell structure
series CAADRIA
email
last changed 2023/06/15 23:14

_id cdrf2023_515
id cdrf2023_515
authors  Lei Gong, Philip F. Yuan
year 2023
title ISOMORPHISM Stylized Translations of 2D Prototype in Additive Clay Printing
doi https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_43
source Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary Traditionally, the relationship between digital prototypes and fabricated entities has been explicit and stable. However, recently, the ambiguous relationship between the above is coming into our focus. This research discusses a series of methods using the industrial six-axis robot to achieve diverse stylized expressions under specific prototypes and reveals the relationship between robot-controlling and printed features in order to figure out the stylized topological relationships of digital twins. This paper begins with a consideration of the relationship between imaginary archetypes and solid entities, which leads to the possibility of hitherto unknown polysemy. Next, several methods to determine the robot motion parameters based on different style details were applied, which could examine the effect of each process according to a predefined prototype by the controlled variable method. Then, some experiments have been carried out to demonstrate the connection between robot movement and fabricated details, along with the method to generate the corresponding toolpath for specific design intent. This research shows the possibility to create diverse translations based on a targeted 2D prototype by defining robot movement, which will fundamentally improve the form-shaping capability of digital technologies.
series cdrf
email
last changed 2024/05/29 14:04

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