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	acadia23_v2_330
id	acadia23_v2_330
authors	Li, Jiaqi; Lin, Chen-Yang; Lai, Zhen-Zhou; Lo, Tian-Tian
year	2023
title	Revitalization of Digital Hometown of Overseas Chinese: Using Virtual Reality Interaction Technology - The Example of Jimei School Village
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 330-339.
summary	Promoting the transformation and development of overseas Chinese hometowns through the inheritance of overseas Chinese culture and the integration of culture and tourism is an important research perspective in China's rural revitalization strategy. Nowadays, the development of rural cultural tourism through various digital means has effectively promoted the economic vitality of the region. This research takes Jimei School Village as an example and uses virtual-real interactive technology [Mixed Reality (MR) and an open- source electronics platform based on easy-to-use hardware and software (Arduino)] to build a ""Phygital Game"" - a virtual-real interactive platform. First, this research uses MR technology to display the characteristic content of the hometown of overseas Chinese, expand the amount of information displayed, and immerse tourists in the realistic scene of virtual-real fusion. In terms of interactive form, through the design of physical inter- action of Arduino, visitors can participate in puzzle-solving games. This platform aims to encourage tourists to actively explore the architectural features and culture of the hometown of overseas Chinese, to provide a valuable perspective for the optimization and development of the immersive cultural tourism platform.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	acadia23_v2_270
id	acadia23_v2_270
authors	Wu, Renhu; Moriuchi, Shunta; Li, Sihan; Chen, Yinglei; S. Anderson, Jeffrey; King, Nathan; Stuart-Smith, Robert
year	2023
title	Dynamic Slip Casting: An Efficient Robotic Approach to Geometrically Variable Ceramic Part Production
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 270-280.
summary	Clay slip is renowned for its versatility, enabling seamless molding, casting, and firing processes that facilitate the production of precisely-shaped and diverse products with varied sizes. However, its limitation in producing variable components without new molds presents challenges for integration into architectural practices where variability is often advantageous. This paper introduces an innovative slip casting approach that allows for the production of diverse clay forms using a single mold by employing a 6-axis articulated robot to rotate the mold during the solidification process. A simulation program predicts the solidified slip's shape in realtime, and a customized end effector attaches the mold to a robotic arm and periodically injects additional slip for precise edge control. The proposed method combines traditional slip casting with industrial robotics, offering greater control over geometric qualities without increasing mold demands. This study offers a potential solution for advancing ceramic manufacturing by overcoming conventional limitations, which could offer opportunities for increased innovation and creativity in architecture and beyond.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	cdrf2023_211
id	cdrf2023_211
authors	Yongqin Zhao, Sijia Wang, Difan Chen, Kaijie Huang, Siyuan Zhang, Waishan Qiu, Wenjing Li
year	2023
title	Estimating the Impacts of Seasonal Variations of Streetscape on Dockless Bike Sharing Trip with Street View Images and Computer Vision
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_18
summary	A significant portion of the cycling experience is influenced by the streetscape, and this impact varies throughout the year. The temporal dynamic of streetscape has been neglected in most previous studies, including urban public mobility route choices. This paper examines the correlation between dockless bike sharing and streetscape as well as spatial elements in different seasons using a large amount of GPS bike trajectory data collected by LIME. The study shows that: (1) DBS volume is significantly influenced by seasonal streetscape factors such as roads, cars, sidewalks, tree, and vegetation color; (2) How significantly these seasonal factors affect DBS volume differs in summer and autumn; (3) In both summer and autumn models, non-seasonal factors like mixed land use score, street network connectivity, etc., are significant. Some non-seasonal factors only impact the DBS volume in one season; (4) When adding subjective perception to models of both seasons, model explanatory does get improved very slightly.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2023_179
id	caadria2023_179
authors	Zu, Xiaoyi, Gao, Chen and Li, Zhixian
year	2023
title	Interpreting Gender Differentiation in Urban Consumption Places Based on the Preference Level of Spatial Perception
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. 737–746
doi	https://doi.org/10.52842/conf.caadria.2023.1.737
summary	Taking Street view map and Random forest model as the applications and four consumption places in Beijing as case studies, this study proposes a method that maps spatial perception preferences at the local scale to the global scale by following steps: Firstly, download street view images of consumption places from BaiduMap API, then combined the preference of the local street view images scores by the volunteers of both genders and the proportion of visual elements in the images, predicted the preference level of case areas at the global scale by the Random forest model, and finally, through FCN model and sDNA model, fully revealed the gender differentiation phenomenon of consumption places at the image, function and location contents. The results indicate that both genders have a preference for places of Catering function. Besides, females generally prefer consumption places with more conspicuous signboards, greening and better spatial design quality, and have clear pre-determined consumption targets; males generally prefer consumption places with more conspicuous columns, smaller signboards, and have less demand for the spatial design quality of consumption places.
keywords	Random Forest Model, FCN Model, Built Environment, Consumption Places, SDNA Model
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
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_12
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	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
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
doi	https://doi.org/10.52842/conf.caadria.2023.1.059
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

_id	caadria2023_22
id	caadria2023_22
authors	Wang, Likai, Janssen, Patrick, Bui, Tung Do Phuong and Chen, Kian Wee
year	2023
title	Comparing Design Strategies: A System for Optimization-Based Design Exploration
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
doi	https://doi.org/10.52842/conf.caadria.2023.1.221
summary	The paper presents a system for supporting optimization-based design exploration, with a special focus on comparing design strategies for early design stages. The system is developed to facilitate designers to conduct multiple optimization runs so as to compare the strengths and weaknesses among different design strategies. The system connects Rhino-Grasshopper to a web-based evaluation server. In Rhino-Grasshopper, designers can encode different design strategies and input these parametrized strategies into the optimization workflow that connects to the evaluation server. The evaluation server records the data sent from Rhino-Grasshopper and provides various interfaces to visualize and analyze optimization results. To demonstrate its utility, a case study is presented to demonstrate the utility of the system in urban design.
keywords	Computational Design, Design Optimization, Building Performance, Design Exploration, Design Tool
series	CAADRIA
email
last changed	2023/06/15 23:14

_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
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_29
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	caadria2023_84
id	caadria2023_84
authors	Chen, Bowen, Lao, Pui Kuan, Dou, Zhiyi, Qiu, Wai-Shan and Luo, Dan
year	2023
title	Analyst Patterns of Influence Between a Commercial Distribution and Neighbourhood Dynamic in a Residential Neighbourhood
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. 525–534
doi	https://doi.org/10.52842/conf.caadria.2023.1.525
summary	The spatial distribution of urban commercial spaces significantly impacts the overall efficiency and vibrancy of adjacent neighbourhoods. As such, it is an important factor to consider during urban development. This study aims to examine the patterns of impact between commercial distributions and neighbourhood dynamics in a residential neighbourhood, based on the case study of a highly populated, thriving commercial, and culturally rich area situated in Mong Kok, Hong Kong. In this research, a series of numeric evaluations and statistical analyses of liveability and vibrancy metrics are presented, uncovering the tension created by existing commercial forms and local living patterns. This research started with multi-dimensional data mining, such as accessing planning data using Geographic Information Systems (GIS), perception data using Street View Images (SVI), and business performance data from Google; secondly, analysing the data via machine learning (ML) algorithm and statistical correlation to identify correlations overlaid with a mapping of spaces of measurable characteristics. The goal is to establish a measurable evaluation of the relationship between commercial vibrance and urban features that can further inform the impact of urban design strategies on fostering the vitality of community commercial centres.
keywords	Mong Kok, Model Learning Machine (ML), SVM, PSPnet, MaskRCNN, POI, Commercial vibrance, Heatmap correlation, Visualization, QGIS, Google Maps Information
series	CAADRIA
email
last changed	2023/06/15 23:14

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