Cumincad : CUMINCAD Papers : Search Results

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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_id	cdrf2023_346
id	cdrf2023_346
authors	Zexin Chen, Dandan Lin, Lujie Sun, Sining Wang, Dongchen Han
year	2023
title	A ‘Human-In-The-Loop’ Workflow for Realizing Taihu Rocks
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_29
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	This research uses an expanded polystyrene (EPS) Taihu rock as a demonstrator to illustrate a workflow encompassing shape grammar-based design and Mixed Reality (MR)-aided robotic fabrication. It aims to address a post-digital mindset that values human’s tacit knowledge and craftsmanship within CAD-CAM processes, therefore, this research combines three components: an idea of the human-cyber-physical system (HCPS), a from-finding approach, and an augmented materialization method. The investigators first 3D-scanned a natural Taihu rock and interpreted its geometric peculiarities into design generation rules. These rules were then translated into robotic foam-cutting paths. With Head-mounted Display (HMD) and MR technology, human fabricators were able to alter robotic motions on-site per their aesthetical demands.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2024_477
id	caadria2024_477
authors	Akbaylar Hayreter, Ipek, Gulec Ozer, Derya and As Cemrek, Handan
year	2024
title	Enhancing Cultural Heritage Digitalization and Visitor Engagement Through LiDAR Scanning and Gamification
doi	https://doi.org/10.52842/conf.caadria.2024.2.283
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 283–292
summary	Cultural heritage assets are valuable, providing important information about humanity's past and conveying it to the future. Unfortunately, conventional documentation is insufficient to preserve them for the next generations. Furthermore, increasing visitor interaction with these assets and raising awareness has been one of the challenges in this field. In this paper, we will examine how mobile LiDAR (Laser Detection and Ranging) technology can be used to precisely scan and document historical sites and how it can be combined with gamification elements to provide visitors with better experiences. It is also important that the texture taken in mobile laser scanning can be used to better visualize 3D mesh models of the scanned objects, so the fastest application that produces 3D models is selected. The study area is Syedra Ancient City in Alanya / Turkey, where the research and excavation process has continued since 2015 and the restoration projects started in 2023. Future work includes the creation of experiences to provide a basis for gamification and revitalizing the story of the heritage for the visitors through digital storytelling and AR (Augmented Reality). Preserving historical sites while providing visitors with a more in-depth, vivid and enjoyable experience are important facts for enhancing cultural heritage and passing it on to future generations.
keywords	Cultural Heritage, Digitalization, LiDAR, Mobile Laser Scanning, Digital Storytelling, Augmented Reality, Gamification
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	cdrf2023_190
id	cdrf2023_190
authors	Beibei Zang, Tianjun Wang, Dan Luo
year	2023
title	The Embodied Interaction with XR Metaverse Space Based on Pneumatic Actuated Structures
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_16
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	This paper is based on our exploration of building an integrated-sensory XR interactive system breaking through the sensory boundary between physical environment and metaverse via pneumatic wearables. In short, our exploration mainly focuses on the following two aspects. Firstly, this research has adapted pneumatic-actuated wearable devices to satisfy the needs of clothing comfort and embodied interaction concurrently by exploring the downsized body-scale pneumatic system and programmable soft materials. Secondly, this research explores the possibility of using digital wearables as the linkage of physical body and XR metaverse to enrich the interaction between XR metaverse and physical environment, aiming at the real-time synchronization of physical wearer's and his virtual avatar in XR system.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2023_384
id	caadria2023_384
authors	Dong, Jiahua, Jiang, Qingrui, Wang, Anqi and Wang, Yuankai
year	2023
title	Urban Cultural Inheritance: Generative Adversarial Networks (GANs) Assisted Street Facade Design in Virtual Reality (VR) Environments Based on Hakka Settlements in Hong Kong
doi	https://doi.org/10.52842/conf.caadria.2023.1.473
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. 473–482
summary	In Hong Kong, the Hakka settlements are the home of indigenous people who have been involved in agriculture and fishing for over 200 years, which has a special place in Hong Kong’s history. However, these settlements are gradually being abandoned as ghost towns due to rapid urbanisation, where the city is progressively constructing high-density habitats to accommodate the exponentially increased population since the 1950s. This challenges designers to rethink means of preserving urban cultural heritage, while engaging in continuous urban regeneration processes. This study investigates workflows to detect historical building styles in one of the most densely-populated cities in the world - Hong Kong - that further deployed in human-computer interfaces in the virtual reality (VR) environment as a collaborative and suggestive design -107958641080
keywords	Urban Culture Inheritance, Hakka Settlements, Facade Generation, Human-Computer Interaction (HCI), Virtual Reality (VR)
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	sigradi2023_114
id	sigradi2023_114
authors	Huang, Sheng-Yang, Wang, Yuankai and Jiang, Qingrui
year	2023
title	(In)Visible Cities: Exploring generative artificial intelligence'screativity through the analysis of a conscious journey in latent space
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 717–728
summary	The rise of generative AI has redefined architectural design by introducing latent space, challenging traditional methods. This paper aims to explore, structure, and analyse latent journeys, drawing from analytical design discourses. We construct journeys towards 'Isaura' from 'Invisible Cities' by Italo Calvino, bridging literature and visual narratives, utilising the text-image generating software, Midjourney. The objective is to identify spatial configurations that align with the designer's interpretation of the text, ensuring the accuracy of visual elements. Structured as a Markov (stochastic) process, the experiment encompasses four primary stages to offer a rational explanation for the journey and the role of each segment. Findings emphasise the potential of latent space in augmenting architectural design and underscore the necessity for analytical tools to avert the reduction of design to trivial formalism. The study's outcome suggests that understanding and leveraging the traits of latent space can nurture a more meaningful engagement with AI-driven design, presenting a novel approach to architectural creativity.
keywords	Latent Space, Generative Artificial Intelligence, Text-to-image Generation, Architectural Creativity, Spatial Analysis
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	architectural_intelligence2023_1
id	architectural_intelligence2023_1
authors	Qiwei Song, Zhiyi Dou, Waishan Qiu, Wenjing Li, Jingsong Wang, Jeroen van Ameijde & Dan Luo
year	2023
title	The evaluation of urban spatial quality and utility trade-offs for Post-COVID working preferences: a case study of Hong Kong
doi	https://doi.org/https://doi.org/10.1007/s44223-022-00020-x
source	Architectural Intelligence Journal
summary	The formation of urban districts and the appeal of densely populated areas reflect a spatial equilibrium in which workers migrate to locations with greater urban vitality but diminished environmental qualities. However, the pandemic and associated health concerns have accelerated remote and hybrid work modes, altered people's sense of place and appreciation of urban density, and transformed perceptions of desirable places to live and work. This study presents a systematic method for evaluating the trade-offs between perceived urban environmental qualities and urban amenities by analysing post-pandemic urban residence preferences. By evaluating neighbourhood Street View Imagery (SVI) and urban amenity data, such as park sizes, the study collects subjective opinions from surveys on two working conditions (work-from-office or from-home). On this basis, several Machine Learning (ML) models were trained to predict the preference scores for both work modes. In light of the complexity of work-from-home preferences, the results demonstrate that the method predicts work-from-office scores with greater precision. In the post-pandemic era, the research aims to shed light on the development of a valuable instrument for driving and evaluating urban design strategies based on the potential self-organisation of work-life patterns and social profiles in designated neighbourhoods.
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

_id	acadia23_v2_384
id	acadia23_v2_384
authors	Vakhshouri, Pouria; Luo, Jingyu; Su, Shuoxuan; Tang, Haohan; Wang, Bentian; Faircloth, Billie; King, Nathan; Stuart-Smith, Robert
year	2023
title	Ceramic Forest: Robotic Die-Extrusion Variable Forming for Architectural Ceramics
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 384-395.
summary	Extrusion is a well-established industrial production technique for making ceramic clay parts in high-volume, mass-production lines, using an auger to push the clay out from a reservoir through a die profile onto a conveyor belt. While the method enables elaborately profiled extrusions, the extrusion and die allow for no degree of variability across the production of several parts. Ceramic Forest explores how robotic fabrication and clay extrusion techniques can be integrated into a variable production process by mounting an extrusion die and extrusion system on an industrial robot end-of-arm tool. Experiments exploring fabrication parameters including the clay body water content, die geometry, air pressure, and a robot's motion trajectory were conducted, and demonstrated the merits of the approach. The fabrication method is also demonstrated through the production of a series of geometrically distinctive parts that are utilized in a full-scale, assembled, façade screen prototype. A computational design method was also developed for an architectural façade screen that generates design outcomes that align with the research’s established fabrication constraints. Together, these developments demonstrate an approach to die-formed ceramic extrusion and an aligned computational design tool for its use on architectural façade screens.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_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	caadria2024_31
id	caadria2024_31
authors	Wong, Nichol Long Hin, Crolla, Kristof, Hou, June-Hao, Hsu, Pei-Hsien and Cheng, Yu-Tung
year	2024
title	Curved Glulam Architecture Design Optimisation For Low-Tech Construction: The Fabrication and Construction of KATENARA
doi	https://doi.org/10.52842/conf.caadria.2024.3.181
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 181–190
summary	This paper reports on the research findings from the fabrication and construction of "KATENARA", a prototypical, hyper-lightweight, wooden pavilion built in the Dongshi Forestry Cultural Park, Dongshi, Taiwan in November 2023. KATENARA uses a suspended roof structure system optimised for low-tech production from glue-laminated (glulam) timber. The pavilion’s geometry is based on near-catenary-shaped glulam beams that are evolutionary algorithmically optimised for manufacture from a single mould. Structures based on suspended beam geometries substantially reduce material needs when compared with those relying on straight beams, as catenary beams operate in pure tension throughout, avoiding inefficient neutral fibres along the centreline and removing risk of buckling. Yet, their manufacture from glulam typically requires costly bespoke individual hardware setups. Shape optimisation for fabrication efficiencies substantially increases the tectonic system's applicability, as it facilitates more affordable implementation in low-tec fabrication environment.
keywords	Catenary, Timber Shell, Evolutionary Algorithm, Glue-laminated Timber, Low-tech, Affordable Construction.
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2023_286
id	caadria2023_286
authors	Choo, Thian-Siong, Wang, Bryan, Berboso, Danielle, Ng, Shalynn and Koh, Lee Jun Rae
year	2023
title	Computational Design for Additive Manufacturing of a Doubly Curved Gyroid Lattice Wall
doi	https://doi.org/10.52842/conf.caadria.2023.2.271
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. 271–280
summary	Additive Manufacturing (AM) for large format building components is becoming popular. AM has allowed architects and engineers to rethink the process of manufacturing building components through lightweighting strategies associated with the processes of AM. AM allows just-in-time production of components which reduces the need for large storage space and minimizes the carbon footprint of the supply chain by bringing the production closer to the actual construction site. However, the feasibility and efficiency of large format fused filament fabrication (FFF) for large building components are still unclear. This paper presents a Computational Design for Additive Manufacturing (CDfAM) workflow of a doubly curved gyroid lattice wall as part of the research on the technological affordance of large format planar FFF for a doubly curved gyroid lattice wall and the feasibility of 3D printing without support structures.
keywords	Design for Additive Manufacturing, Fused Filament Fabrication, Large-Scale Additive Manufacturing, Computational Design, Lightweighting
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	cdrf2023_139
id	cdrf2023_139
authors	Fuyuan Liu, Min Chen, Lizhe Wang, Zhouyi Xiang, Songhua Huang
year	2023
title	Lightweight and Customized Design via Conformal Parametric Lattice Driven by Stress Fields
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_12
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	Additive manufacturing has opened up new opportunities for material-based design and optimization, with lattice materials being a key area of interest. Lattice materials can exhibit superb physical properties, such as high thermal conductivity and excellent energy absorption, and be designed to meet specific design objectives. However, optimizing the use of these materials requires considering geometric constraints and loading conditions. This research explores stress-driven multi-agent system (MAS) to achieve high-performance lattice infilling. The von Mises stress and principal stress are investigated as the infilling environments as they are typical failure evaluation criteria. The feasibility of these approaches is demonstrated through a case study of sport helmet design, where MAS is used to generate conformal lattice structures that meet functional and fabrication requirements. The density distribution and arrangement direction of lattice units are effectively controlled in physical fields. The results demonstrate that both von Mises stress field and principal stress field-driven methods can improve the stiffness of helmets compared to the method that only considers geometrical conformity under the same mass. The paper concludes that stress-driven lattice infilling has the potential to revolutionize material-based design and optimization in additive manufacturing.
series	cdrf
email
last changed	2024/05/29 14:04

_id	acadia23_v3_39
id	acadia23_v3_39
authors	Goti, Kyriaki; A. Scelsa, Jonathan; Rossi, Natalia; Wang, Wei; Palaci, Arthur
year	2023
title	Bric(k)olage: Spoliated Masonry C+D Waste
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	The 2016 US Environmental Protection Agency reported that 23.1 million tons of broken pieces of concrete waste are annually discarded from new construction sites (EPA -2) and in example states in the north american context only 6.6% of C&D concrete is recycled; the rest is thrown out in landfills as it is labeled “contaminated or too hard to process on a large scale.” (CT DOE 25) Relatively little investigation has occurred in how this material could reappear in the architectural project that might honor its intrinsic broken quality as a part of its materiality within a life-cycle of continual usage. This project speaks towards a problematic Habit of the Anthropocene in how we construct buildings placing intrinsic cultural value on new parts over the broken and old due to economic efficiencies.
series	ACADIA
type	field note
email
last changed	2024/04/17 13:59

_id	acadia23_v2_340
id	acadia23_v2_340
authors	Huang, Lee-Su; Spaw, Gregory
year	2023
title	Augmented Reality Assisted Robotic: Tube Bending
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 340-349.
summary	The intent of this research is to study potential improvements and optimizations in the context of robotic fabrication paired with Augmented Reality (AR), leveraging the technology in the fabrication of the individual part, as well as guiding the larger assembly process. AR applications within the Architecture, Engineering, and Construction (AEC) industry have seen constant research and development as designers, fabricators, and contractors seek methods to reduce errors, minimize waste, and optimize efficiency to lower costs (Chi, Kang, and Wang 2013). Recent advancements have made the technology very accessible and feasible for use in the field, as demonstrated by seminal projects such as the Steampunk Pavilion in Tallinn, Estonia (Jahn, Newnham, and Berg 2022). These types of projects typically improve manual craft processes. They often provide projective guidelines, and make possible complex geometries that would otherwise be painstakingly slow to complete and require decades of artisanal experience (Jahn et al. 2019). Building upon a previously developed robotic tube bending workflow, our research implements a custom AR interface to streamline the bending process for multiple, large, complex parts with many bends, providing a pre-visualization of the expected fabrication process for safety and part-verification purposes. We demonstrate the utility of this AR overlay in the part fabrication setting and in an inadvertent, human-robot, collaborative process when parts push the fabrication method past its limits. The AR technology is also used to facilitate the assembly process of a spatial installation exploring a unique aesthetic with subtle bends, loops, knots, bundles, and weaves utilizing a rigid tube material.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	caadria2023_398
id	caadria2023_398
authors	Jiang, Wanzhu and Wang, Jiaqi
year	2023
title	Stylized Space Synthesis: Exploring the Stylized Generative Design Method of Architecture Based on Wave Function Collapse Algorithm
doi	https://doi.org/10.52842/conf.caadria.2023.1.311
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. 311–320
summary	It has been a frequent task and challenge for architects to translate and transfer a specific style so that the design works can fit into a particular built environment or a unique period. The wave function collapse algorithm is an image generator inspired by constraint solving, which generates numerous images with similar styles by analyzing the potential connections of discrete segments in instances. This paper explores the application of the wave function collapse algorithm in the generation of stylized architecture. By deconstructing architectural style templates into predefined spatial tiles and connection rules, this research models style expression as a constraint-solving process, establishing a stylized spatial synthesis algorithm with discrete design logic to generate self-similar aggregations, shaping architecture as a unique semantic system. Based on the generative experiments of cultural architecture in the traditional Chinese style, this method was tested in two stages. While demonstrating a complete workflow, it has been fully verified for the feasibility, creativity and adaptability in stylized synthesis problems.
keywords	Stylized Synthesis, Discrete Aggregation, Wave Function Collapse, Spatial Module, Constraint Solving, Generative Design
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	cdrf2023_78
id	cdrf2023_78
authors	Mengman Liu, Chuhua Ding, Hui Wang
year	2023
title	An Exploration on the Form Design of Movable Structures Based on Uniform Convex Polyhedral Expansion
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_7
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	5 kinds of regular polyhedra and 13 kinds of semi-regular polyhedra are taken as the main research objects in this paper to explore the form design method of polyhedral expansion through the rotation of polygon. Firstly, the expandable range of uniform convex polyhedra is defined and divided into two types of expansion. Then three solutions are proposed, namely, discarding polygonal faces, constructing rigid-foldable origami mechanisms and constructing scissor-like elements, so that the prior unexpandable uniform convex polyhedron can be expanded. These methods extend the range of expandable uniform convex polyhedron, and can provide new form design ideas for frontier fields such as movable furniture (toys), movable art installations, 3D kinetic facades and space architecture.
series	cdrf
email
last changed	2024/05/29 14:04

_id	ecaade2023_277
id	ecaade2023_277
authors	Nurdiah, Esti, Wang, Tsung-Hsien and Chang, Wen-Shao
year	2023
title	Form Finding and Optimisation of Bamboo Gridshell Structures
doi	https://doi.org/10.52842/conf.ecaade.2023.1.579
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 579–588
summary	This paper presents the utilisation of parametric tools for bamboo gridshell structure design through form finding and optimisation to obtain structure-efficient forms. Models of gridshell structures were developed in Rhinoceros using plug-ins Grasshopper and Kangaroo, by defining the designated span, height, grid configuration, and mesh size. The structural behaviour of the models was analysed through Finite Element Analysis (FEA) using Karamba3D to obtain the stress distribution and deformation. The input mechanical properties were obtained from material tests of three Indonesian bamboo species: Gigantochloa apus, Gigantochloa atter, and Dendrocalamus asper. Based on the FEA result, the structural efficiency was considered for optimisation, and the iterative process of structural optimisation was done by modifying these parameters: strength usage, number and size of the members to obtain optimised gridshell forms. The form finding and optimisation process demonstrated generating efficient gridshell structures using bamboo and is envisaged to be applicable for further bamboo gridshell design.
keywords	Bamboo gridshell, form finding, optimisation, finite element analysis, optimised gridshell form
series	eCAADe
email
last changed	2023/12/10 10:49

_id	cdrf2023_273
id	cdrf2023_273
authors	Pixin Gong, Xiaoran Huang, Chenyu Huang, Shiliang Wang
year	2023
title	Modeling on Outdoor Thermal Comfort in Traditional Residential Neighborhoods in Beijing Based on GAN
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_23
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	With the support of new urban science and technology, the bottom-up and human-centered space quality research has become the key to delicacy urban governance, of which the Universal Thermal Climate Index (UTCI) have a severe influence. However, in the studies of actual UTCI, datasets are mostly obtained from on-site measurement data or simulation data, which is costly and ineffective. So, how to efficiently and rapidly conduct a large-scale and fine-grained outdoor environmental comfort evaluation based on the outdoor environment is the problem to be solved in this study. Compared to the conventional qualitative analysis methods, the rapidly developing algorithm-supported data acquisition and machine learning modelling are more efficient and accurate. Goodfellow proposed Generative Adversarial Nets (GANs) in 2014, which can successfully be applied to image generation with insufficient training data. In this paper, we propose an approach based on a generative adversarial network (GAN) to predict UTCI in traditional blocks. 36000 data samples were obtained from the simulations, to train a pix2pix model based on the TensorFlow framework. After more than 300 thousand iterations, the model gradually converges, where the loss of the function gradually decreases with the increase of the number of iterations. Overall, the model has been able to understand the overall semantic information behind the UTCI graphs to a high degree. Study in this paper deeply integrates the method of data augmentation based on GAN and machine learning modeling, which can be integrated into the workflow of detailed urban design and sustainable construction in the future.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2023_283
id	caadria2023_283
authors	Qin, Bowen, Wang, Tianyu, Dubbeldam, Winka, Korhammer, Justin, Huang, Cong, Wu, Dengguo and Jiang, Hongming
year	2023
title	An Integrated Application of Building Information Modeling, Computer-Aided Manufacturing, Machine Learning, and the Internet of Things – A Hybrid Stadium as a Case Study
doi	https://doi.org/10.52842/conf.caadria.2023.1.119
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. 119–128
summary	Using building information modeling (BIM), design teams can maximize decision-making efficiency by using one data-sharing platform and one integrated digital model. We present a novel built-project that integrates computer-aided manufacturing (CAM), machine learning, and internet of things (IoT) with a BIM process. The goal is to solve design and manufacturing problems and tightly connect virtual design data with the real-world construction process. Introducing CAM in the early phase reduces the cost of reverse engineering and optimizes material and construction costs. Machine learning has been used for curtain wall panel standardization and to solve manufacturing problems. The IoT concept focuses on directing the data stream onto real-world objects and updating the digital model using feedback from real-world monitoring. Using the integrated application in this project, a hybrid Olympic stadium, helped to accelerate the process of design and reduced the time and cost for manufacturing and construction.
keywords	Building Information Modeling (BIM), Computer Aided Manufacturing (CAM), Machine Learning, Internet of Things (IoT), Panel Standardization
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ecaaderis2023_46
id	ecaaderis2023_46
authors	Scelsa, Jonathan, Goti, Kyriaki, Rossi, Natalia, Palaci-Zani, Arthur and Wang, Wei
year	2023
title	Bric(k)Colage, CMU Spolia Composites: 3D scanning and printed clay for the recapture of CFD masonry waste
source	De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 159–167
summary	This research investigates the use of LIDAR scanning, physics computational simulations, and ceramic 3D printing to streamline a process for generating a structural masonry bond-work from a given set of discarded pre-fabrication concrete parts. The research capitalizes on an initial set of large scale mockups developed using intuition based stacking of CMU Block detritus, which were in turn LIDAR scanned to produce a series of custom robotically 3d printed ceramic figural bricks to infill the gaps in a mortar based assembly. Following the proof of concept, the researchers explored computational means for simulating various configurations of aggregates using individually scanned broken blocks placed within a physics simulation. The outer boundaries are rigidly defined along with placeholders for desired apertures, and then the scanned detritus is dropped to inform a tight packed bond-work. The final digital aggregate is then run through a grasshopper simulation to derive the linework and print files for a robot to print the negative infill. This paper will discuss the ability for the designer to work within a computational process to produce structural envelope based construction with spoliated detritus towards new varied organizations embraces an aesthetic of visual reuse.
keywords	3D-Printed Clay, 3D-Scanning, CFD Waste, Spolia, 3D-Collage
series	eCAADe
email
last changed	2024/02/05 14:28

_id	caadria2023_88
id	caadria2023_88
authors	Shi, Yinyi, Chen, Jinhui, Hu, Guangzhi and Wang, Cunyuan
year	2023
title	Prediction and Optimisation of the Typical Airport Terminal Corridor Façade Shading Using Integrated Machine Learning and Evolutionary Algorithms
doi	https://doi.org/10.52842/conf.caadria.2023.1.059
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. 59–68
summary	For airport terminal buildings, the use of large glass curtain walls is beneficial to introduce daylight, but it also tends to cause excessive partial illumination, uncomfortable glare, and an increase in energy load. An appropriate façade shading design is important to help improve indoor environment performance and comfort. In this research, integrated machine learning algorithms were used to train a total of 2187 data samples of louvre shading and film shading to build a performance prediction model for adjustable façade shading of the typical terminal corridor, enabling rapid simulation and optimisation. The results show that the optimisation objectives are more closely related to the adjustable shading components and their façade areas. Besides, the optimal solutions for film and louvre shading are more influenced by the energy and light environment indicators respectively. Different target weights have a different impact on the selection of preferred solutions. This research further enriches the parametric model library and provides a reference for future design decisions and performance evaluation of airport terminal façade shading.
keywords	Airport terminal corridor, Façade shading, Machine learning, Multi-objective optimisation, Performance prediction, SDG9
series	CAADRIA
email
last changed	2023/06/15 23:14

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