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	caadria2020_032
id	caadria2020_032
authors	Gu, Zhuoxing and Yang, Chunxia
year	2020
title	Generation of Public Space Structure Based on Digital Multi-agent System - Taking the interaction between self-consensus "Stigmergy" particles and the old city area as an example
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 285-294
doi	https://doi.org/10.52842/conf.caadria.2020.1.285
summary	In the study, the ant colony behavior was simulated to establish a parametric multi-agent system with independent consensus "Stigmergy" for interaction with the site. In the experiment, the initial points of the particles correspond to the key historical buildings, and the target points correspond to the important public space nodes. Edit and adjust the motion characteristics, search features, generation and disappearance characteristics of the simulated particles to obtain the main consensus particle swarm distribution and the distributed consensus particle swarm distribution. This form has a compliant or conflicting relationship with the existing urban environment. Using the contours of the self-consensus spatial form, the particle swarm density, and the pointing relationship between the particles and the building can provide a basis for the transformation and renewal of the existing urban environment, thus forming a spatial transformation strategy that more closely matches the user behavior in the space.
keywords	Multi-agent system; Particle property construction; Stigmergy; Self-consensus particles; Public space structure
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2020_223
id	caadria2020_223
authors	Guo, Qi and Mei, Hongyuan
year	2020
title	Research on Spatial Distribution and Performance Evaluation of Mass Sports Facilities Based on Big Data of Social Media - A Case Study of Harbin
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 537-546
doi	https://doi.org/10.52842/conf.caadria.2020.1.537
summary	The extensive application of Python script provides a new opportunity for the research on spatial distribution of mass sports facilities. The traditional way to obtain geography information of POI is by the crawler of API open platform, which needs accurate search content. Therefore, it is difficult to obtain the geography information of the mass sports facilities, which do not have specific category name. The paper took Harbin City in China as an example, combined the social network address text crawler and map websites crawler, accurately obtained the geographic information of mass sports facilities, and used ArcGIS to realize the visualization of the spatial distribution information. Combined with the information of Harbin population distribution, the paper evaluated the quantity spatial distribution and type spatial distribution of mass sports facilities by Lorentz curve and Global Moran's I, aiming to evaluate the health service performance of existing mass sports facilities and provide reference for the design and planning of sports facilities. The paper draws the conclusion that the distribution of mass sports buildings in Harbin is relatively average with the population distribution and the clustering of sports function types of mass sports buildings is obvious.
keywords	mass sports facilities; spatial distribution; crawler; Lorentz curve; Global Moranâ€™s I
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2020_173
id	caadria2020_173
authors	Zhou, JueLun and Tong, ZiYu
year	2020
title	Spatial Characteristics Analysis of Urban Form at the Macroscale Based on Landscape Pattern Indices
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 823-832
doi	https://doi.org/10.52842/conf.caadria.2020.1.823
summary	Spatial characteristics are significant for urban form studies. Because quantifying the urban form at the macroscale is difficult, most of the relevant studies neglect or simplify the diversity of urban built areas. Local climate zone (LCZ) classification systems can transform macro urban form into a theme map composed of different LCZ classes, and such LCZ maps represent an effective urban form mapping technique, especially for built areas. However, this method still fails to provide a quantitative representation of the spatial characteristics. In this paper, the LCZ map is treated as a matrix composed of different patches and landscape pattern indices are applied to quantify the urban form. Taking 8 Chinese cities as case studies, the results show that 4 landscape scale indices and 4 class scale indices can effectively quantify the spatial characteristics of the urban form, including the area, shape, aggregation, and diversity. The quantitative spatial characteristics can provide a reference for urban design and management.
keywords	landscape pattern indices; Local Climate Zones (LCZ); urban form
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ijac202018205
id	ijac202018205
authors	Ahlquist, Sean
year	2020
title	Negotiating human engagement and the fixity of computational design: Toward a performative design space for the differently-abled bodymind
source	International Journal of Architectural Computing vol. 18 - no. 2, 174-193
summary	Computational design affords agency: the ability to orchestrate the material, spatial, and technical architectural system. In this specific case, it occurs through enhanced, authored means to facilitate making and performance—typically driven by concerns of structural optimization, material use, and responsivity to environmental factors—of an atmospheric rather than social nature. At issue is the positioning of this particular manner of agency solely with the architect auteur. This abruptly halts—at the moment in which fabrication commences—the ability to amend, redefine, or newly introduce fundamentally transformational constituents and their interrelationships and, most importantly, to explore the possibility for extraordinary outcomes. When the architecture becomes a functional, social, and cultural entity, in the hands of the idealized abled-bodied user, agency—especially for one of an otherly body or mind—is long gone. Even an empathetic auteur may not be able to access the motivations of the differently-abled body and neuro- divergent mind, effectively locking the constraints of the design process, which creates an exclusionary system to those beyond the purview of said auteur. It can therefore be deduced that the mechanisms or authors of a conventional computational design process cannot eradicate the exclusionary reality of an architectural system. Agency is critical, yet a more expansive terminology for agent and agency is needed. The burden to conceive of capacities that will always be highly temporal, social, unpredictable, and purposefully unknown must be shifted far from the scope of the traditional directors of the architectural system. Agency, and who it is conferred upon, must function in a manner that dissolves the distinctions between the design, the action of designing, the author of design, and those subjected to it.
keywords	Adaptive environments, neurodiversity, inclusion, systems thinking, computational design, disability theory, material systems, design agency
series	journal
email
last changed	2020/11/02 13:34

_id	acadia20_108p
id	acadia20_108p
authors	Akbarzadeh, Masoud; Ghomi, Ali Tabatabaie; Bolhassani, Mohammad; Akbari, Mostafa; Seyedahmadian, Alireza; Papalexiou, Konstantinos
year	2020
title	Saltatur
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 108-113.
summary	The Saltatur (Dancer in Latin) demonstrates innovative research in the design and fabrication of a prefab structure consisting of spatial concrete nodes assembled in a compression-only configuration. The compression-only body is kept in equilibrium using the post-tensioning steel rods at the top and the bottom of the structure, supporting an ultra-thin glass structure on its top. A node-based assembly was considered as a method of construction. An innovative detailing was developed that allows locking each member in its exact location in the body, obviating the need for a particular assembly sequence. A bespoke steel connection transfers the tensile forces between the concrete members effectively. Achieving a high level of efficiency in utilizing concrete for spatial systems requires a robust and powerful structural design and fabrication approach that has been meticulously exhibited in this project. The structural form of the project was developed using a three-dimensional geometry-based structural design method known as 3D Graphic Statics with precise control over the magnitude of the lateral forces in the system. The entire concrete body of the structure is held in compression by the tension ties at the top and bottom of the structure with no horizontal reactions at the supports. This particular internal distribution of forces in the form of the compression-only body reduces the bending moment in the system and, therefore, the required mass to span such a distance.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	acadia20_202p
id	acadia20_202p
authors	Battaglia, Christopher A.; Verian, Kho; Miller, Martin F.
year	2020
title	DE:Stress Pavilion
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 202-207
summary	Print-Cast Concrete investigates concrete 3D printing utilizing robotically fabricated recyclable green sand molds for the fabrication of thin shell architecture. The presented process expedites the production of doubly curved concrete geometries by replacing traditional formwork casting or horizontal corbeling with spatial concrete arching by developing a three-dimensional extrusion path for deposition. Creating robust non-zero Gaussian curvature in concrete, this method increases fabrication speed for mass customized elements eliminating two-part mold casting by combining robotic 3D printing and extrusion casting. Through the casting component of this method, concrete 3D prints have greater resolution along the edge condition resulting in tighter assembly tolerances between multiple aggregated components. Print-Cast Concrete was developed to produce a full-scale architectural installation commissioned for Exhibit Columbus 2019. The concrete 3D printed compression shell spanned 12 meters in length, 5 meters in width, and 3 meters in height and consisted of 110 bespoke panels ranging in weight of 45 kg to 160 kg per panel. Geometrical constraints were determined by the bounding box of compressed sand mold blanks and tooling parameters of both CNC milling and concrete extrusion. Using this construction method, the project was able to be assembled and disassembled within the timeframe of the temporary outdoor exhibit, produce <1% of waste mortar material in fabrication, and utilize 60% less material to construct than cast-in-place construction. Using the sand mold to contain geometric edge conditions, the Print-Cast technique allows for precise aggregation tolerances. To increase the pavilions resistance to shear forces, interlocking nesting geometries are integrated into each edge condition of the panels with .785 radians of the undercut. Over extruding strategically during the printing process casts the undulating surface with accuracy. When nested together, the edge condition informs both the construction logic of the panel’s placement and orientation for the concrete panelized shell.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	caadria2020_258
id	caadria2020_258
authors	Beatricia, Beatricia, Indraprastha, Aswin and Koerniawan, M. Donny
year	2020
title	Revisiting Packing Algorithm - A Strategy for Optimum Net-to Gross Office Design
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 405-414
doi	https://doi.org/10.52842/conf.caadria.2020.1.405
summary	Net-to-gross efficiency is defined as the ratio of net area to a gross area of a building. Net-to-gross efficiency will determine the quantity of leasable building area. On the other side, the effectiveness of the spatial distribution of a floor plan design must follow the value of net-to-gross efficiency. Therefore in the context of office design, there are two challenges need to be improved: 1) to get an optimum value of efficiency, architects need to assign the amount and size of the office units which can be effectively arranged, and 2) to fulfill high net-to-gross efficiency value that usually set out at minimal 85%. This paper aims to apply the packing algorithm as a strategy to achieve optimum net-to-gross efficiency and generating spatial configuration of office units that fit with the result. Our study experimented with series of models and simulations consisting of three stages that start from finding net-to-gross efficiency, defining office unit profiles based on preferable office space units, and applying the packing algorithm to get an optimum office net-to-gross efficiency. Computational processes using physics engine and optimization solvers have been utilized to generate design layouts that have minimal spatial residues, hence increasing the net-to-gross ratio.
keywords	net-to-gross efficiency; packing algorithm; modular office area; area optimization;
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2020_528
id	sigradi2020_528
authors	Campos, María Paz; Basaure, Tannia; Loyola, Mauricio
year	2020
title	Virtual Wayfinding: A Comparison of Orientation and Navigation Behavior in Built and Virtual Environments
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 528-533
summary	In this study we compare the wayfinding behavior of occupants in virtual reality and built spaces. Results show significant differences related to the speed of navigation, geometry of movement, and frequency of stops and turns. Subjective evaluations of spatial characteristics show no significant differences between built and virtual spaces.
keywords	Virtual Reality, Head-Mounted Display, Wayfinding, Spatial Navigation, Occupant Behavior
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	sigradi2020_149
id	sigradi2020_149
authors	Canestrino, Giuseppe; Laura, Greco; Spada, Francesco; Lucente, Roberta
year	2020
title	Generating architectural plan with evolutionary multiobjective optimization algorithms: a benchmark case with an existent construction system
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 149-156
summary	In architectural design, evolutionary multiobjective optimization algorithms (EMOA) have found use in numerous practical applications in which qualitative and quantitative aspects can be transformed into fitness functions to be optimized. This paper shows that they can be used in an architectural plan design process that starts from a more traditional approach. The benchmark case uses a novel construction system, called Ac.Ca. Building, with a vast architectural and technological database, arleady validated, to generate architectural plan for a residential towerbuilding with a parametric approach and EMOA. The proposed framework differs from past research because uses spatial units with high level of architectural and tecnological definition.
keywords	Architectural design, Parametric architecture, Performance-driven design, architectural layout, evolutionary multiobjective optimization
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	sigradi2020_991
id	sigradi2020_991
authors	Gomez, Paula; Hadi, Khatereh; Kemenova, Olga; Swarts, Matthew
year	2020
title	Spatiotemporal Modeling of COVID-19 Spread in Built Environments
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 991-996
summary	This research proposes a Spatiotemporal Modeling approach to understand the role of architecture, specifically the built environment, in the COVID-19 pandemic. The model integrates spatial and temporal parameters to calculate the probability of spread of and exposure to SARS-CoV-2 virus (responsible of COVID-19 disease) due to the combination of four aspects: Spatial configuration, organizational schedules, people’s behavior, and virus characteristics. Spatiotemporal Modeling builds upon the current models of building analytics for architecture combined with predictive models of COVID-19 spread. While most of the current research on COVID-19 spread focuses on mathematical models at regional scales and the CDC guidelines emphasizing on human behavior, our research focuses on the role of buildings in this pandemic, as the intermediate mechanism where human and social activities occur. The goal is to understand the most significant parameters that influence the virus spread within built environments, including human-to-human, fomite (surface-to-human), and airborne ways of transmission, with the purpose of providing a comprehensive parametric model that may help identify the most influential design and organizational decisions for controlling the pandemic. The proof-of-concept study is a healthcare facility.
keywords	Spatiotemporal modeling, Agent-based simulation, COVID-19, Virus spread, Built environments, Human behavior, Social distancing
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_260
id	caadria2020_260
authors	LI, Yan, DU, Hongwu and WANG, Qing
year	2020
title	The Association Study Between Residential Building Interface and Perceived Density based on VR Technology - Taking 2 Enclosed Residential Districts of Guangzhou as Examples
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 711-720
doi	https://doi.org/10.52842/conf.caadria.2020.1.711
summary	As urban development enters the stock increment era , the demand of environmental quality in urban residential districts gradually improves, making the construction of livable residential environment an important direction of urban development. The improvement of livable environment is the inevitable result of this process and perceived density is an indispensable and important part. Among the statistical methods, preference study is the most commonly one to explore the subjective factors affecting preference. The experience of immersive virtual environment can provide a more appropriate analytical method better for traditional image selection. Different permeability of architectural interface has significant influences on the perception of space comfortability, crowding and fascination. In this paper, two existing enclosed residential districts are selected for case study. The factors closely related to perceived density, such as solid Wall, grille, glass, open space, greening, etc, are selected by using immersive virtual technology. Through the interviewees' evaluations of perceived density of the virtual environment, the relationship between building interface and the perceived density of the residential area will be established.
keywords	Spatial Perceived Density; Virtual Reality Technology; Enclosed Residential District; Housing Interface; Association Study
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	cdrf2019_124
id	cdrf2019_124
authors	Maider Llaguno-Munitxa and Elie Bou-Zeid
year	2020
title	Sensing the Environmental Neighborhoods Mobile Urban Sensing Technologies (MUST) for High Spatial Resolution Urban Environmental Mapping
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_12
summary	Given the benefits of fine mapping of large urban areas affordably, mobile environmental sensing technologies are becoming increasingly popular to complement the traditional stationary weather and air quality sensing stations. However the reliability and accuracy of low-cost mobile urban technologies is often questioned. This paper presents the design of a fast-response, autonomous and affordable Mobile Urban Sensing Technology (MUST) for the acquisition of high spatial resolution environmental data. Only when accurate neighborhood scale environmental data is affordable and accessible for architects, urban planners and policy makers, can design strategies to enhance urban health be effectively implemented. The results of an experimental air quality sensing campaign developed within Princeton University Campus is presented.
series	cdrf
email
last changed	2022/09/29 07:51

_id	sigradi2022_298
id	sigradi2022_298
authors	Perry, Isha N.; Xue, Zhouyi; Huang, Hui-Ling; Crispe, Nikita; Vegas, Gonzalo; Swarts, Matthew; Gomez Z., Paula
year	2022
title	Human Behavior Simulations to Determine Best Strategies for Reducing COVID-19 Risk in Schools
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 39–50
summary	The dynamics of COVID-19 spread have been studied from an epidemiological perspective, at city, country, and global scales (Rabajante, 2020, Ma, 2020, and Giuliani et al., 2020), although after two years of the pandemic we know that viruses spread mostly through built environments. This study is part of the Spatiotemporal Modeling of COVID-19 spread in buildings research (Gomez, Hadi, and Kemenova et al., 2020 and 2021), which proposes a multidimensional model that integrates spatial configurations, temporal use of spaces, and virus characteristics into one multidimensional model. This paper presents a specific branch of this model that analyzes the behavioral parameters, such as vaccination, masking, and mRNA booster rates, and compares them to reducing room occupancy. We focused on human behavior, specifically human interactions within six feet. We utilized the multipurpose simulation software, AnyLogic, to quantify individual exposure to the virus, in the high school building by Perkins and Will. The results show how the most effective solution, reducing the occupancy rates or redesigning layouts, being the most impractical one, is as effective as 80% of the population getting a third boost.
keywords	Spatiotemporal Modeling, Behavior Analytics, COVID-19 Spread, Agent-Based Simulation, COVID-19 Prevention
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	acadia21_76
id	acadia21_76
authors	Smith, Rebecca
year	2021
title	Passive Listening and Evidence Collection
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 76-81.
doi	https://doi.org/10.52842/conf.acadia.2021.076
summary	In this paper, I present the commercial, urban-scale gunshot detection system ShotSpotter in contrast with a range of ecological sensing examples which monitor animal vocalizations. Gunshot detection sensors are used to alert law enforcement that a gunshot has occurred and to collect evidence. They are intertwined with processes of criminalization, in which the individual, rather than the collective, is targeted for punishment. Ecological sensors are used as a “passive” practice of information gathering which seeks to understand the health of a given ecosystem through monitoring population demographics, and to document the collective harms of anthropogenic change (Stowell and Sueur 2020). In both examples, the ability of sensing infrastructures to “join up and speed up” (Gabrys 2019, 1) is increasing with the use of machine learning to identify patterns and objects: a new form of expertise through which the differential agendas of these systems are implemented and made visible. I trace the differential agendas of these systems as they manifest through varied components: the spatial distribution of hardware in the existing urban environment and / or landscape; the software and other informational processes that organize and translate the data; the visualization of acoustical sensing data; the commercial factors surrounding the production of material components; and the apps, platforms, and other forms of media through which information is made available to different stakeholders. I take an interpretive and qualitative approach to the analysis of these systems as cultural artifacts (Winner 1980), to demonstrate how the political and social stakes of the technology are embedded throughout them.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_099
id	caadria2020_099
authors	Tu, Chun Man and Hou, June Hao
year	2020
title	After Abstraction, Before Figuration - Exploring the Potential Development of Form Re-topology and Evolution Reapplication with Three-dimensional Point Cloud Model Generation Logic.
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 517-526
doi	https://doi.org/10.52842/conf.caadria.2020.2.517
summary	In the era of three-dimensional (3D) informatics, the 3D point cloud modeling algorithm has the potential to further develop. In this study, we attempt to eliminate the limitations of the traditional reverse modeling method and directly turn point cloud data into the material for innovative architectural design by integrating 3D point cloud modeling into the CAD/CAM platform(Rhino/Grasshopper) most widely used by parametric designers. In this way, the randomly ordered point cloud model can be regenerated and reordered according to the designer's requirements. In addition, point cloud data can be spatially segmented and morphologically evolved according to the designer's preferences to construct a 3D model with higher efficiency and more dynamic real-time adjustment compared with the triangular mesh model. Moreover, when a computer vision technique is integrated into the point cloud design process, the point cloud model can be further used to more efficiently achieve rapid visualization, artisticization, and form adjustment. Therefore, point cloud modeling can not only be applied to the spatial structure presentation of building information modeling(BIM) but also can provide further opportunities for creative architectural design.
keywords	Three-dimensional Point-cloud Model; Computer Vision; Point Set Registration; Topology Optimization; Regeneration
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_253
id	caadria2021_253
authors	Vivanco Larrain, Tomas, Valencia, Antonia and Yuan, Philip F.
year	2021
title	Spatial Findings on Chilean Architecture StyleGAN AI Graphics
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 251-260
doi	https://doi.org/10.52842/conf.caadria.2021.1.251
summary	The use of StyleGAN algorithms proposes a novel approach in the investigation of architectural images. Even though graphical outcomes produced by StyleGAN algorithms are far from being architectural spaces, they might become a starting point in the creative process of architectural projects. By creating a database of specific categories of architectural images located in certain contexts, significant findings might emerge regarding their categorization in accordance to the style of a culture. This research analyzes the architectural images that result from implementing StyleGAN algorithms in a database of images of Chilean houses built between the years 2010 and 2020 and selected as finalist of the Â´Project of the YearÂ´ from international viewers and curators of the most viewed architectural website of the world. Our findings suggest that Chilean houses have two distinctive elements strongly influenced by human bias: the proportion of voids in the architectural-like generative volume and the integration of vegetation or landscape.
keywords	StyleGAN; Chilean architecture; artificial intelligence; spatial findings
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2020_395
id	ecaade2020_395
authors	Xian, Ziju, Hoban, Nicholas and Peters, Brady
year	2020
title	Spatial Timber Assembly - Robotically Fabricated Reciprocal Frame Wall
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 403-412
doi	https://doi.org/10.52842/conf.ecaade.2020.2.403
summary	Though highly robust and economical, traditional lamella and reciprocal structural systems cannot adapt to surfaces with complex double curvature; as the timber members are standardized with no variation. Recent research has explored the use of computation for design, structural optimization, and use of robotic systems for the automated fabrication of timber joints. The disconnection between fabrication and assembly makes the construction of non-uniform double-curved reciprocal frames challenging, due to the required precise placement of discrete members with compound angle butt joints. This project investigates the use of robotic fabrication to cut and assemble a timber reciprocal frame assembly. A computational model was created to generate the double-curved reciprocal frame geometry. Within this computational framework, joint analysis, fabrication, and assembly were monitored and adjusted to meet limiting factors. An industrial robot was implemented as a bridge between the computational model and the physical construction. This paper presents a number of novel computational and robotic fabrication techniques in designing, cutting, and positioning. These techniques were explored through the robotic fabrication and assembly of a demonstrator - a double-curved reciprocal frame wall.
keywords	Robotic Fabrication; Reciprocal Frame; Prototyping
series	eCAADe
email
last changed	2022/06/07 07:57

_id	cdrf2022_209
id	cdrf2022_209
authors	Yecheng Zhang, Qimin Zhang, Yuxuan Zhao, Yunjie Deng, Feiyang Liu, Hao Zheng
year	2022
title	Artificial Intelligence Prediction of Urban Spatial Risk Factors from an Epidemic Perspective
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_18
summary	From the epidemiological perspective, previous research methods of COVID-19 are generally based on classical statistical analysis. As a result, spatial information is often not used effectively. This paper uses image-based neural networks to explore the relationship between urban spatial risk and the distribution of infected populations, and the design of urban facilities. We take the Spatio-temporal data of people infected with new coronary pneumonia before February 28 in Wuhan in 2020 as the research object. We use kriging spatial interpolation technology and core density estimation technology to establish the epidemic heat distribution on fine grid units. We further examine the distribution of nine main spatial risk factors, including agencies, hospitals, park squares, sports fields, banks, hotels, Etc., which are tested for the significant positive correlation with the heat distribution of the epidemic. The weights of the spatial risk factors are used for training Generative Adversarial Network models, which predict the heat distribution of the outbreak in a given area. According to the trained model, optimizing the relevant environment design in urban areas to control risk factors effectively prevents and manages the epidemic from dispersing. The input image of the machine learning model is a city plan converted by public infrastructures, and the output image is a map of urban spatial risk factors in the given area.
series	cdrf
email
last changed	2024/05/29 14:02

_id	ecaade2020_075
id	ecaade2020_075
authors	Yoffe, Hatzav, Plaut, Pnina, Fried, Shaked and J. Grobman, Yasha
year	2020
title	Enriching the Parametric Vocabulary of Urban Landscapes - A framework for computer-aided performance evaluation of sustainable development design models
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 47-56
doi	https://doi.org/10.52842/conf.ecaade.2020.1.047
summary	Three decades past since the adoption of sustainability rating systems (SRS) by the Architecture Engineering and Construction industry (AEC) as standard methods for sustainable development evaluation. Nevertheless, these methods still suffer from a low adoption and implementation rate due to their manual, labor-intensive, expert dependent, and time-demanding process. The partial success of urban development evaluation puts forth the question: Are there faster, more accurate quantitative methods for advancing sustainability evaluation? The paper describes a prototype workflow for evaluating the performance of urban landscape design in a single digital workflow, based on ecological key indicator criteria. Grasshopper and Python parametric platforms were used to translate the criteria into quantitative spatial metrics. This study demonstrates optimized biomass measurement in two urban scales in line with the SITES rating system for landscape development: (XS) site development and (XL) neighborhood scale. The measured biomass density is used as a positive indication of ecosystem services capacity in the development site. The framework's quantitative workflow contributes to additional spatial feedbacks compared to the original numeric-based rating system method. Through these, composition and configuration metrics such as ecological connectivity, edge contrast, and patch shape can be visualized, measured, and compared. The metrics, which indicate performance characteristics of the design, generate new opportunities for data-rich sustainability evaluations of urban landscapes, using a single computer-aided workflow.
keywords	Sustainable development; Urban landscape
series	eCAADe
email
last changed	2022/06/07 07:57

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