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

PDF papers
References

Hits 1 to 20 of 648

_id acadia20_198
id acadia20_198
authors Sinke Baranovskaya, Yuliya; Tamke, Martin; Ramsgaard Thomsen, Mette
year 2020
title Simulation and Calibration of Graded Knitted Membranes
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. 198-207.
doi https://doi.org/10.52842/conf.acadia.2020.2.198
summary The grading of knit changes its geometrical performance and steers membrane expansion. However, knit possesses challenges of material predictability and digital simulation, due to its multiscalar complexity and anisotropic properties. Taking as a challenge the lack of digital solutions incorporating CNC-knit performance into the design model, this paper presents a novel approach for the design-integrated simulation of graded knit, informed by an empirical dataset analysis in combination with genetic optimization algorithms. Here the simulation design tool reflects the differences of industrially knitted textile panel behavior through digital mesh grading. Diversified fabric stiffness is achieved by intertwining the yarn into variegated stitch types that steer the textile expansion under load. These are represented digitally as zoned quad meshes with each segment assigned a stiffness value. Mesh stiffness values are optimized by minimizing the distance between the point clouds and the digital mesh, which are documented through deviation colored maps. This work concludes that design properties—pattern topology, stitch ratio, pattern density—play an important role in textile panel performance under load. Stiffness values derived from the optimization are higher for shallower designs and lower for the deeper cones.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id caadria2020_396
id caadria2020_396
authors Martinho, Helena, Araújo, Gonçalo and Leitão, António
year 2020
title From Macro to Micro - An integrated algorithmic approach towards sustainable cities
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. 101-110
doi https://doi.org/10.52842/conf.caadria.2020.2.101
summary As urbanization rapidly increases towards concerning levels, new methodologies and approaches are required to shape future cities. This research combines passive design approaches with building performance simulation in the same algorithmic description, to highlight the bidirectional impact of the building and the urban context in which it is inserted. To that end, the proposed workflow employs an algorithmic design tool along with validated analysis engines, to assess incident solar radiation and comfort metrics. We apply this methodology in a case study, exploring alternative building geometries to mitigate the consequences of uninformed design decisions in the environment. Results show that the application of passive design strategies can be done within early design stages, allowing a continuous workflow from project to construction while minimizing time and labour requirements regarding building efficiency.
keywords Algorithmic design; Building analysis; Passive design; Urban comfort
series CAADRIA
email
last changed 2022/06/07 07:59

_id ecaade2020_484
id ecaade2020_484
authors Aguilar, Pavel, Borunda, Luis and Pardal, Cristina
year 2020
title Additive Manufacturing of Variable-Density Ceramics, Photocatalytic and Filtering Slats
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. 97-106
doi https://doi.org/10.52842/conf.ecaade.2020.1.097
summary Additive Manufacturing (AM) offers the potential development of novel architectural applications of ceramic building components that can be engineered at the level of material to the extent of designing its performance and properties by density variations. This research presents a computational method and fabrication technique emulating complex material behavior via AM of intricate geometries and presents components with photocatalytic and climatic properties. It proposes an innovative application of AM of ceramic components in architecture to explore potential bioclimatic and antipollution performative use. Lattices are defined and manufactured with density variation gradients by tracing rectilinear clay deposition toolpaths that induce porosity intended for fluid filtering and to maximize sun exposure. The design method for photocatalytic, particle filtration and evaporative cooling local characterization introduced by complex patterning elements in architectural envelope slat components processed with radiation analysis influenced design are validated by simulation and experimental testing on specimens manufactured by paste extrusion.
keywords Ceramic 3D Printing; Paste Extrusion; Photocatalytic Filter; Performative Design
series eCAADe
email
last changed 2022/06/07 07:54

_id caadria2020_320
id caadria2020_320
authors Cheng, Jiahui, Zhang, Zhuoqun and Peng, Chengzhi
year 2020
title Parametric Modelling and Simulation of an Indoor Temperature Responsive Rotational Shading System 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. 579-588
doi https://doi.org/10.52842/conf.caadria.2020.1.579
summary We present a digital design strategy for developing an intelligent rotational shading system responsive to changes in indoor temperatures. The strategy was first modelled with an Arduino-based physical prototype, identifying the concept of "mapping" between building indoor air temperature and rotational movement (angle) of external solar shading. A virtual parametric modelling approach was then followed to test three methods of mapping: linear, quadratic and logarithmic. The aim was to examine the performative differences exhibited by the three mapping methods in terms of the total comfort hours and estimated cooling energy demand during summer months. A typical cellular office in the Arts Tower of University of Sheffield was chosen for the parametric modelling (Rhino-Grasshopper) and environmental simulation (Honeybee-Ladybug) of horizontal and vertical rotational shading system design. The simulation shows that the horizontal shading system rotating according to the linear mapping methods achieve greater total comfort hours with lower cooling energy demand in the case of Arts Tower in Sheffield, UK.
keywords indoor temperature responsive shading; temperature-angle mapping; parametric design; kinetic shading; overheating
series CAADRIA
email
last changed 2022/06/07 07:55

_id ecaade2020_241
id ecaade2020_241
authors Stojanovic, Djordje and Vujovic, Milica
year 2020
title Algorithmic Framework for Correlation Between Microclimate Control and Space Usage in Outdoor Public Spaces
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. 517-524
doi https://doi.org/10.52842/conf.ecaade.2020.2.517
summary Effects of extreme temperatures are the cause of health-related problems and have an impact on how we go about with our daily lives. This study addresses the critical question on the relationship between architecture and climate. It probes into the correlation between urban environments and microclimate while focusing on the outdoor public spaces. This paper provides a conceptual framework for information processing to enable spatiotemporal design strategies for outdoor public spaces. The flow of information starts with data gathered by sensors, relies on the computational techniques for processing and ends with information as specific as instruction for the behaviour of spray nozzles emitting water vapour. The contribution of this paper is the advancement of the design methodology of public spaces, through the development of dynamic design strategies based on the ability to sense climatic conditions in localised areas and map behaviour of occupants in real-time.
keywords Interactive Architecture; Responsive Environment; Evaporative Cooling; Microclimate; Outdoor Public Space
series eCAADe
email
last changed 2022/06/07 07:56

_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 sigradi2020_418
id sigradi2020_418
authors Neto, Olavo Avalone; Avalone, Marianne Costa
year 2020
title CAPTURING THE ENVIRONMENT: using photogrammetry to register the built environment for simulation
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. 418-424
summary This study tested two forms of data gathering, three different methods of data registration, and two of modeling for the creation of 3D models of heritage landmarks. The applications on elements of three different scales were tested, a Cathedral, a Monument, and an Art Panel. The open-source Meshroom resulted in the best model in measures of mesh detail, reconstruction capability, and mesh refinement, regardless of the data acquisition method. Results may aid researchers and designers in choosing a workflow that suits their needs developing the best model possible, according to the tools they have at their disposal.
keywords Photogrammetry, Mesh modeling, Reality capture, Cultural heritage, 3D models
series SIGraDi
email
last changed 2021/07/16 11:49

_id caadria2020_332
id caadria2020_332
authors Taseva, Yoana, Eftekhar, Nik, Kwon, Hyunchul, Leschok, Matthias and Dillenburger, Benjamin
year 2020
title Large-Scale 3D Printing for Functionally-Graded Facade
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. 183-192
doi https://doi.org/10.52842/conf.caadria.2020.1.183
summary Additive manufacturing (AM) technologies such as fused deposition modeling (FDM) have been gaining ground in architecture due to their potential to fabricate geometrically complex building components with integrated functionality. With that in mind, this paper showcases a novel design and fabrication strategy for the production of functionally graded façade elements. Three functional integrations are investigated: gradient infill structures (Figure 1), a non-orthogonal discretization approach for 3D-printed façade elements, and an integrated snapping panel-to-panel connection system. The presented process is then incorporated into a large-scale demonstrator consisting of eight individual façade-panel elements. This paper first presents a prototypical approach for a large-scale, graded 3D-printed facade system with non-standard discretization and then opens the discussion to further related challenges.
keywords Large-scale 3D Printing; Freeform Façade; Functional Integration; Complex 3D Assembly Connection
series CAADRIA
email
last changed 2022/06/07 07:58

_id ijac202018302
id ijac202018302
authors Brath Jensen, Mads; Isak Worre Foged and Hans Jørgen Andersen
year 2020
title A framework for interactive human–robot design exploration
source International Journal of Architectural Computing vol. 18 - no. 3, 235-253
summary This study seeks to identify key aspects for increased integration of interactive robotics within the creative design process. Through its character as foundational research, the study aims to contribute to the advancement of new explorative design methods to support architects in their exploration of fabrication and assembly of an integrated performance-driven architecture. The article describes and investigates a proposed design framework for supporting an interactive human–robot design process. The proposed framework is examined through a 3-week architectural studio, with university master students exploring the design of a brick construction with the support of an interactive robotic platform. Evaluation of the proposed framework was done by triangulation of the authors’ qualitative user observations, quantitative logging of the students’ individual design processes, and through questionnaires completed after finishing the studies. The result suggests that interactive human–robot fabrication is a relevant mode of design with positive effect on the process of creative design exploration.
keywords Design methods, robotic design processes, interactive robotics, computational design, design exploration, creativity
series other
type normal paper
email
last changed 2020/11/02 13:39

_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 sigradi2020_320
id sigradi2020_320
authors Hernández Ruiz, Christian Eugenia ; Espinoza Moreno, José Aurelio
year 2020
title POPULUS: DESIGN PROCESS, FROM PROTOTYPING TO THE OBJECT
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. 320-325
summary Populus it´s a design proposal for concrete urban furniture, which is a new interpretation of popular design, helping to solve the shortage of functional equipment that is comfortable, durable and capable of being integrated into multiple contexts. This study reveals the importance of understanding the object before building it to user’s scale taking advantage of the tools provided by different methodologies such as rapid prototyping and digital manufacturing to explore material and functional aspects. In addition to validate the usefulness and adaptability of the creative process with the designer’s labor in an emerging context such as Latin America.
keywords Urban furniture, Design process, Popular design, Rapid prototyping, Digital manufacturing
series SIGraDi
email
last changed 2021/07/16 11:49

_id caadria2020_100
id caadria2020_100
authors Hershcovich, Cheli, van Hout, RENÉ, Rinsky, Vladislav, Laufer, Michael and Grobman, Yasha J.
year 2020
title Insulating with Geometry - Employing Cellular Geometry to Increase the Thermal Performance of Building Facades
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. 507-516
doi https://doi.org/10.52842/conf.caadria.2020.1.507
summary This paper presents the current stage of a study examining the potential of complex geometry concrete tiles to improve thermal performance in building envelopes. This stage focused on developing tile geometries and testing them using physical and digital CFD (Computational Fluid Dynamics) simulations. Tiles were developed taking two approaches: (i) developing variation from basic geometries (triangle, square, circle and trapezoid) and (ii) learning from natural envelopes. Following successful validation of experimental and numerical data, the designed tiles were tested using a digital simulation (Star-CCM+). The results show that for the examined configuration (flow perpendicular to the surface), a significant reduction of heat transfer rate occurs in most of the tested tiles. Furthermore, geometries that achieved the same thermal performance as the base-line flat tile saved up to 38 percent of the material.
keywords Complex Geometry; Microclimate; CFD
series CAADRIA
email
last changed 2022/06/07 07:50

_id caadria2020_427
id caadria2020_427
authors Holzer, Dominik and Loh, Paul
year 2020
title Digital Stupefaction - Seduction and Complacency of Digital Techniques
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. 351-360
doi https://doi.org/10.52842/conf.caadria.2020.2.351
summary Digital design techniques have saturated architectural discourse in the past forty-plus years from modelling to simulation and fabrication. Digital or Computational Design now forms part of the standard architectural curriculum, promising efficiency in modelling, design, advancing site analysis and ease of fabrication. Alongside these promises, we as educators begin to witness a new level of complacency governed by the use of the digital tools; we call this Digital Stupefaction. With the increasing 'smartness' of digital tools, what is the risk of shifting away from the focus of what students should/could know, and what information they embody? Is it still relevant to be able to draw on intrinsic background knowledge, or tacit knowledge in action, when everything can be analysed and verified on the fly (or even pre-selected via AI)? How can educators respond to these challenges by adjusting the way they deliver subjects associated with digital design?
keywords Digital; Education; Critical; Pedagogy; Knowledge
series CAADRIA
email
last changed 2022/06/07 07:50

_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 ecaade2020_503
id ecaade2020_503
authors Jansen, Igor and Pi¹tek, £ukasz
year 2020
title The Evolutionary-algorithm-based Automation of the Initial Stage of Apartment Building Design
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. 105-114
doi https://doi.org/10.52842/conf.ecaade.2020.2.105
summary The development of information technologies has resulted in a strong return of interest in the concept of automating the design process. Most of the attempts such as works of Hersey and Freedman, Duarte or the PRISM application are based on shape grammars. Another approach is evolutionary simulations in concept creation augmentation such as works of Dogan, Saratsis and Reinhart or Nahara and Terzidis.This study examines to what extent evolutionary algorithms can be used to automate early stages of residential multi-family building architectural design. To facilitate informed decision-making, a tool capable of analysing a building plot and proposing the best fitting building shape was designed and tested with Polish legal regulations taken into consideration.A script generating, analysing, and evolutionally optimising a 3D model of the apartment building, was developed. All models met the basic legal conditions and were optimised by four criteria - view obstruction, insolation, maximal allowed floor area built and building compactness. The script was later used on selected building plots producing thousands of solutions. The best performing solutions were selected and presented together with their calculated parameters.
keywords genetic algorithm; evolutionary simulation; residential building; design automation
series eCAADe
email
last changed 2022/06/07 07:52

_id caadria2020_184
id caadria2020_184
authors Kawagishi, Noboru, Fuji, Takaaki, Hotta, Kensuke and Hotta, Akito
year 2020
title Comparative Study on Urban Virtual Modeling Platforms for Urban Planning and Design Practice
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. 31-40
doi https://doi.org/10.52842/conf.caadria.2020.2.031
summary This paper examines urban virtual modelling platforms (UVMPs) to be used for urban planning and design practice, thus following points are revealed; firstly, comparing existing platforms in the case study, capability of each platform is pointed out. Secondly, potentials of UVMPs for urban planning and design process, including A) Collaborative Design, B) Simulation-based Design and C) AI-involved Design are also tested in the case study. Consequently, a possible system with above potentials is tested and the workflow for urban planning and design practice using UVMPs is suggested.
keywords Digital Twin; Urban Planning; Collaborative Design; Simulation-based Design; AI-involved Design
series CAADRIA
email
last changed 2022/06/07 07:52

_id caadria2020_161
id caadria2020_161
authors Kido, Daiki, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year 2020
title Mobile Mixed Reality for Environmental Design Using Real-Time Semantic Segmentation and Video Communication - Dynamic Occlusion Handling and Green View Index Estimation
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. 681-690
doi https://doi.org/10.52842/conf.caadria.2020.1.681
summary Mixed reality (MR), that blends the real and virtual worlds, attracted attention for consensus-building among stakeholders in environmental design with the visualization of planned landscape onsite. One of the technical challenges in MR is the occlusion problem which occurs when virtual objects hide physical objects that should be rendered in front of virtual objects. This problem may cause inappropriate simulation. And the visual environmental assessment of present and proposed landscape with MR can be effective for the evidence-based design, such as urban greenery. Thus, this study aims to develop a MR-based environmental assessment system with dynamic occlusion handling and green view index estimation using semantic segmentation based on deep learning. This system was designed for the use on a mobile device with video communication over the Internet to implement a real-time semantic segmentation whose computational cost is high. The applicability of the developed system is shown through case studies.
keywords Mixed Reality (MR); Environmental Design; Dynamic Occlusion Handling; Semantic Segmentation; Green View Index
series CAADRIA
email
last changed 2022/06/07 07:52

_id caadria2020_431
id caadria2020_431
authors Kim, Jong Bum, Balakrishnan, Bimal and Aman, Jayedi
year 2020
title Environmental Performance-based Community Development - A parametric simulation framework for Smart Growth development in the United States
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. 873-882
doi https://doi.org/10.52842/conf.caadria.2020.1.873
summary Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as building height, use, position, section configurations, façade configurations, and materials, which have an explicit association with energy performances. This research aims to analyze and visualize the impact of Smart Growth developments on environmental performances. This paper presents a parametric modeling and simulation framework for Smart Growth developments that can model the potential community development scenarios, simulate the environmental footprints of each parcel, and visualize the results of modeling and simulation. We implemented and examined the proposed framework through a case study of two Smart Growth regulations: Columbia Unified Development Code (UDC) in Missouri (City of Columbia Missouri, 2017) and Overland Park Downtown Form-based Code (FBC) in Kansas City (City of Overland Park, 2017, 2019). Last, we discuss the implementation results, the limitations of the proposed framework, and the future work. We anticipate that the proposed method can improve stakeholders' understanding of how Smart Growth developments are associated with potential environmental footprints from an expeditious and thorough exploration of what-if scenarios of the multiple development schemes.
keywords Smart Growth; Building Information Modeling (BIM); Parametric Simulation; Solar Radiation
series CAADRIA
email
last changed 2022/06/07 07:52

_id acadia20_170
id acadia20_170
authors Li, Peiwen; Zhu, Wenbo
year 2020
title Clustering and Morphological Analysis of Campus Context
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. 170-177.
doi https://doi.org/10.52842/conf.acadia.2020.2.170
summary “Figure-ground” is an indispensable and significant part of urban design and urban morphological research, especially for the study of the university, which exists as a unique product of the city development and also develops with the city. In the past few decades, methods adapted by scholars of analyzing the figure-ground relationship of university campuses have gradually turned from qualitative to quantitative. And with the widespread application of AI technology in various disciplines, emerging research tools such as machine learning/deep learning have also been used in the study of urban morphology. On this basis, this paper reports on a potential application of deep clustering and big-data methods for campus morphological analysis. It documents a new framework for compressing the customized diagrammatic images containing a campus and its surrounding city context into integrated feature vectors via a convolutional autoencoder model, and using the compressed feature vectors for clustering and quantitative analysis of campus morphology.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id caadria2020_367
id caadria2020_367
authors Ma, Zhichao, Xiao, Yiqiang and Chen, Xiong
year 2020
title Research on Commercial Space Vitality of Airport Terminal Based on 3D Vision Field Simulation of Pedestrian Flows - Taking Guangzhou Baiyun International Airport Terminal 2 as a Study Case
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. 589-598
doi https://doi.org/10.52842/conf.caadria.2020.1.589
summary In recent years, more and more large-scale terminal buildings have emerged. In the design and construction of the terminal, how to increase the non-aeronautical revenue of the terminal has become one of the difficulties and priorities. The commercial vitality is one of the important factors influencing non-aeronautical revenue of the terminal. There is a correlation between passenger flows and commercial space vitality. So it is necessary to analyze the impact of pedestrian flows on commercial space vitality. The commercial space vitality can be evaluated by the vision dwell time on the shop surfaces. This paper focused on the relationship between passenger flows and commercial space vitality at the terminal. We modeled and simulated the domestic mixed-flow hall of Baiyun airport terminal 2 in Massmotion. After the pedestrian 3D vision field simulation, Vision Time Maps were exported to assess the commercial space vitality. After comparing the survey results with simulation results, we can conclude that the mixing of multiple pedestrian flows can improve the commercial space vitality of the airport terminal.
keywords 3D vision field simulation; Airport terminal commercial space vitality; Guangzhou Baiyun International Airport Terminal 2 ; Pedestrian Flow
series CAADRIA
email
last changed 2022/06/07 07:59

For more results click below:

this is page 0show page 1show page 2show page 3show page 4show page 5... show page 32HOMELOGIN (you are user _anon_444710 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002