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	caadria2019_202
id	caadria2019_202
authors	Yang, Chunxia, Gu, Zhuoxing and Yao, Ziying
year	2019
title	Adaptive Urban Design Research based on Multi-Agent System - Taking The Urban Renewal Design Of Shanghai Hongkou Port Area As An Example
doi	https://doi.org/10.52842/conf.caadria.2019.1.225
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 225-234
summary	Utilizing digital method to establish a multi-agent simulation platform and establish an interactive simulation between site elements and agents particles behavior. In this study, urban space could not have the absolute frozen state, it is always evolving and self-renewing. We hope to integrate such unstable relationships into urban design methods and programs. By constructing various type of agent particles and the interaction behaviors, we not only directly simulate the flow of people or traffic, but also simulate the public space relationship such as line of sight space, waterfront space accessibility, commercial supporting function layout, and historical and cultural block attraction from a more abstract level. From macro to micro, the result of spatial simulation has an intrinsic close causal relationship with the site's landform, building status, site function, and planning pattern, can be the basis for space generation.
keywords	Self-organization; Multi-agent System; Cluster City; Particle Personality; Site Elements
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2019_666
id	caadria2019_666
authors	Yang, Lijing, Cheng, Bingyu, Deng, Nachuan, Zhou, Zhi and Huang, Weixin
year	2019
title	The Influence of Supermarket Spatial Layout on Shopping Behavior and Product Sales - An application of the Ultra-wideband Indoor Positioning System
doi	https://doi.org/10.52842/conf.caadria.2019.1.301
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 301-310
summary	Companies and researchers had explored many methods to record people's shopping behavior, in order to explore a more favorable spatial layout. However, few research has been done from the architectural perspective using fine data. This research aims to set forth a clear relationship between the layout of the shelves and shopping behavior, as well as product sales, thus achieving a balance between customers shopping experience improvement and supermarket sales promotion. To achieve the goal, we designed experiments to track the shopping trajectory of many shoppers and set up questionnaires to get their personal and shopping information. Regarding the equipment for tracking the trajectory, we adopted the Ultra-Wideband indoor positioning system, which provides high positioning accuracy and stable performance. Based on the location data, we found spaces that appealed to shoppers and spaces where shoppers stayed longer. In addition, by comparing with the products they ultimately purchased, we found that buying behavior are highly related with the shoppers' movements in the supermarket. Based on the existing analysis, we assume that the spatial layout of the supermarket will affect people's impulse purchasing behavior. The UWB approach turns out to be feasible and can be applied to other supermarket behavior studies.
keywords	Shopping behavior; Ultra-Wideband; Supermarket layout; Trajectory; Quantitative Analysis
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2019_045
id	caadria2019_045
authors	Zheng, Hao, Darweesh, Barrak, Lee, Heewon and Yang, Li
year	2019
title	Caterpillar - A Gcode translator in Grasshopper
doi	https://doi.org/10.52842/conf.caadria.2019.2.253
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 253-262
summary	Additive manufacturing has widely been spread in the digital fabrication and design fields, allowing designers to rapidly manufacture complex geometry. In the additive process of Fused Deposition Modelling (FDM), machine movements are provided in the form of Gcode - A language of spatial coordinates controlling the position of the 3D printing extruder. Slicing software use closed mesh models to create Gcode from planar contours of the imported mesh, which raises limitations in the geometry types accepted by slicing software as well as machine control freedom. This paper presents a framework that makes full use of three degrees of freedom of Computer Numerically Controlled (CNC) machines through the generation of Gcode in the Rhino and Grasshopper environment. Eliminating the need for slicing software, Gcode files are generated through user-defined toolpaths that allow for higher levels of control over the CNC machine and a wider range of possibilities for non-conventional 3D printing applications. Here, we present Caterpillar, a Grasshopper plug-in providing architects and designers with high degrees of customizability for additive manufacturing. Core codes are revealed, application examples of printing with user-defined toolpaths are shown.
keywords	3D Printing; Gcode; Grasshopper; Modelling; Simulation
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaadesigradi2019_360
id	ecaadesigradi2019_360
authors	Wei, Likai, Ta, La, Li, Liang, Han, Yang, Feng, Yingying, Wang, Xin and Xu, Zhen
year	2019
title	RAF: Robot Aware Fabrication - Hand-motion Augmented Robotic Fabrication Workflow and Case Study
doi	https://doi.org/10.52842/conf.ecaade.2019.2.241
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 241-250
summary	Fabricating process with robotic awareness and creativity makes architect able to explore the new boundary between digital and material world. Although parametric and generative design method make diverse processing of materials possible for robots, it's still necessary to establish a new design-fabrication framework, where we could simultaneously deal with designers, robots, data, sensor technology and material natural characters. In order to develop a softer system without gap between preset program and robot's varying environments, this paper attempts to establish an environment-computer-robot workflow and transform traditional robotic fabrication from linear to more tangible and suitable for architects' and designers' intuitive motion and gesture. RAF (Robotic Aware Fabrication), a concept of real-time external enhancement fabrication is proposed, and a new workflow of HARF (Hand-motion Augmented Robotic Fabrication) is developed, where motion sensor captures designer's hand-motion, filter algorithm recognizes the intention and update the preset program, robotic controller and RSI (Robotic Sensor Interface) adjusts robot's TCP (Tool Center Point) path in real time. With HARF workflow, two case studies of Hand-motion robotic dance and Free-form concrete wall are made.
keywords	RAF; HARF; Hand-motion Sensor; Styrofoam Mold; Concrete Wall; RSI
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	cf2019_066
id	cf2019_066
authors	Zheng, Hao ; Zhe Guo and Yang Liang
year	2019
title	Iterative Pattern Design via Decodes Python Scripts in Grasshopper
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 526-537
summary	With the rapid development of parametric design, Grasshopper, as a visual programming tool for architects, has been widely used. However, although Grasshopper is powerful for data processing, there is a weakness that the data only flows linearly from the first component to the last component, which means it’s impossible to update the data iteratively by loop structure in native Grasshopper. So here, we introduce a Python based scripting plug-in Decodes, adding the function of loop construct into Grasshopper while integrating the basic graphical operations with faster mathematical matrix calculation. What’s more, in order to bring Decodes into play as far as possible, four iterative patterns are researched and designed through Decodes scripting, demonstrating the strength and necessity of loop construct. The patterns include iterative subdivision patterns (center tiling and pinwheel tiling) and iterative growing patterns (semi-regular tiling and swarm behavior). Also, the core parts of their codes are revealed and deciphered in this article.
keywords	Algorithmic design; Iterative pattern; Programming;
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	ecaadesigradi2019_627
id	ecaadesigradi2019_627
authors	Yang, Yang, Samaranayake, Samitha and Dogan, Timur
year	2019
title	Using Open Data to Derive Local Amenity Demand Patterns for Walkability Simulations and Amenity Utilization Analysis
doi	https://doi.org/10.52842/conf.ecaade.2019.2.665
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 665-674
summary	Understanding human behavior and preferences are important for urban planning and the design of walkable neighborhoods. However, it remains challenging to study human activity patterns because significant efforts are required to collect the relevant data, convert unstructured data into useful knowledge, and take into consideration different urban contexts. In the context of the heated discussion about urban walkability and amenities, as well as the need of identifying a feasible approach to analyze human activities, this paper proposes a simple and effective metric of the amenity demand patterns, which demonstrates the spatiotemporal distribution of human activities according to the activeness in urban amenities. Such metric has the potential to support the urban study about people, mobility, and built environment, as well as other relevant design thinking. Further, a case study illustrates the data and the new metric can be used in walkability simulations and amenity utilization analysis, thus informing the design decision-making process.
keywords	Big Data; Urban Amenity; Walkability; Human Activity
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

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