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	ecaade2022_402
id	ecaade2022_402
authors	Neumayr, Robert
year	2022
title	Agent-Based Semiology - Simulating office occupation patterns with conversation-based social models
doi	https://doi.org/10.52842/conf.ecaade.2022.2.141
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 141–150
summary	The importance of fostering formal and informal conversation to optimize office space performance has been well researched since the introduction of the 1970s cybernetic office layout strategies and recent research suggests, that formal and informal conversations at work can no longer be meaningfully separated, making efficient conversation patterns even more central to a successful office layout in the age of knowledge economy. In such a setup, social factors, like hierarchy, group membership, or expertise, contribute more to the formation of an office’s spatial occupation patterns than the space’s morphology itself. Consequently, standard tools of space evaluation, such as Space Syntax, that rely on the analysis of a space's topological description, yield inconclusive results, as the quantitative description of the space can no longer be matched to the changing patterns of interactions observed in that space. The research methodology described in this paper, therefore, aims to optimize contemporary office environments in a different way. Embedded in the conceptual framework of agent-based simulation, this research does not foreground the configuration of space itself but focuses on developing a population of agents sophisticated enough to allow for the emergence of an a simplified, yet plausibly life-like collective office scenario. Here, special occupation patterns evolve over time based on series of subsequent communication events between all agents in a space, where participants, locations, total numbers of various types of conversations, and durations depend on previous events as well as on a simplified social model. Different office scenarios are then analyzed against a set of selected criteria to identify successful office configurations. This paper describes the methodology’s underlying concepts and setup, introduces the agent-based simulations that were developed and presents and speculate about the preliminary research results and findings.
keywords	Design Methodology, Agent-Based Modelling, Office Space Simulation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_217
id	ecaade2022_217
authors	Panagiotidou, Vasiliki and Koerner, Andreas
year	2022
title	From Intricate to Coarse and Back - A voxel-based workflow to approximate high-res geometries for digital environmental simulations
doi	https://doi.org/10.52842/conf.ecaade.2022.1.491
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 491–500
summary	Digital environmental simulations can present a computational bottleneck concerning the complexity of geometry. Therefore, a series of workarounds, ranging from cloud-based solutions to machine learning simulations as surrogate simulations are conventionally applied in practice. Concurrently, contemporary advances in procedural modelling in architecture result in design concepts with high polygon counts. This leads to an ever- increasing resolution discrepancy between design and analysis models. Responding to this problem, this research presents a step-by-step approximation workflow for handling and transferring high-resolution geometries between procedural modelling and environmental simulation software. The workflow is intended to allow designers to quickly assess a design’s interaction with environmental parameters such as airflow and solar radiation and further articulate them. A controllable voxelization procedure is applied to approximate the original geometry and therefore reduce the resolution. Controllable in this context refers to the user’s ability to locally adjust the voxel resolution to fit design needs. After export and simulation, 3d results are imported back into the design environment. The colour properties are re-mapped onto the original high- resolution geometry following a weighted proximity technique. The developed data transfer pipeline allows designers to integrate environmental analysis during initial design steps, which is essential for accessibility in the design profession. This can help to environmentally inform generative designs as well as to make simulation workflows more accessible when working with a wider range of geometries. In this, it reduces the perceived discrepancy between the concept and simulation model. This eases the use and allows a wider audience of users to develop co-creation processes between computation, architecture, and environment.
keywords	Simulation, Accessibility, Computation, Environmental Data, Workflow
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_69
id	caadria2022_69
authors	Rogeau, Nicolas, Rezaei Rad, Aryan, Vestartas, Petras, Latteur, Pierre and Weinand, Yves
year	2022
title	A Collaborative Workflow to Automate the Design, Analysis, and Construction of Integrally-Attached Timber Plate Structures
doi	https://doi.org/10.52842/conf.caadria.2022.2.151
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 151-160
summary	This paper introduces a computational framework that fosters collaboration between architects, engineers, and contractors by bridging the gap between architectural design, structural analysis, and digital construction. The present research is oriented toward the formulation of an automatic design-to-construction pipeline for Integrally-Attached Timber Plate Structures (IATPS). This construction system is based on assembling timber panels through the sole interlocking of wood-wood connections inspired by traditional Japanese joinery. Prior research focused on developing distinct computational workflows and dealt with the automation of 3D modelling, numerical simulation, fabrication, and assembly separately. In the current study, a single and interactive design tool is presented. Its versatility is demonstrated through two case studies, as well as the assembly of a physical prototype with a robotic arm. Results indicate that efficiency in terms of data flow and stakeholder synergy is considerably increased. The proposed approach contributes to the†Sustainable Development Goal (SDG) 11 by facilitating the collaborative design of sustainable timber structures. Besides, the research also contributes to SDG 9 as it paves the way for sustainable industrialisation of the timber construction sector through streamlined digital fabrication and robotic assembly processes. This reduces manufacturing time and associated costs while leveraging richer design possibilities.
keywords	Timber plate structures, Timber joints, Collaborative design, Interdisciplinary design, Structural performance assessment, Robotic assembly, SDG 11, SDG 9.
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ascaad2022_005
id	ascaad2022_005
authors	Abdulmajeed, Abdulwahab; Agkathidis, Asterios; Dounas, Theodoros; Lombardi, Davide
year	2022
title	Developing a Design Framework for the Mass Customization of Housing in Saudi Arabia: A Critical Review
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 484-502
summary	This paper explores the suitability of mass customisation (MC) technologies and techniques in order to provide affordable housing solutions for Saudi Arabia. In particular, the paper analyses ten articles filtered through 1.165 publications searched by using the keywords ‘mass customisation housing or off-site construction’ in the databases Scopus, CumlnCAD, ScienceDirect, and Engineer village and categorised them based on their suitability for the Saudi Arabian context. Our findings include a comparative analysis chart evaluating workflows, tools and technologies on their suitability for the MC design and an MC workflow proposal for including parametric design and digital fabrication tools and techniques.
series	ASCAAD
email
last changed	2024/02/16 13:24

_id	caadria2022_33
id	caadria2022_33
authors	Alva, Pradeep, Mosteiro-Romero, Martin, Miller, Clayton and Stouffs, Rudi
year	2022
title	Digital Twin-Based Resilience Evaluation of District-Scale Archetypes
doi	https://doi.org/10.52842/conf.caadria.2022.1.525
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 525-534
summary	District-scale energy demand models can be powerful tools for understanding interactions in complex urban areas and optimising energy systems in new developments. The process of coupling characteristics of urban environments with simulation software to achieve accurate results is nascent. We developed a digital twin through a web map application for a 170ha district-scale university campus as a pilot. The impact on the built environment is simulated with pandemic (COVID-19) and climate change scenarios. The former can be observed through varying occupancy rates and average cooling loads in the buildings during the lockdown period. The digital twin dashboard was built with visualisations of the 3D campus, real-time data from sensors, energy demand simulation results from the City Energy Analyst (CEA) tool, and occupancy rates from WiFi data. The ongoing work focuses on formulating a resilience assessment metric to measure the robustness of buildings to these disruptions. This district-scale digital twin demonstration can help in facilities management and planning applications. The results show that the digital twin approach can support decarbonising initiatives for cities.
keywords	Digital twin, City Information Modelling, Planning Support System, energy demand model, SGD 11, SGD 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_59
id	caadria2022_59
authors	Banihashemi, Farzan, Reitberger, Roland and Lang, Werner
year	2022
title	Investigating Urban Heat Island and Vegetation Effects Under the Influence of Climate Change in Early Design Stages
doi	https://doi.org/10.52842/conf.caadria.2022.2.679
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 679-688
summary	Different criteria need to be considered for optimal strategies in the early design stages of urban developments. Under the influence of climate change, the urban heat island effect (UHI) is a phenomenon that gains importance in the early design stages. Here, different parameters, for instance, vegetation ratio in the city district and building density, play a significant role in the UHI effect. These parameters need to be quantified through different simulation tools for optimal climate adaptation and mitigation measures on the urban district scale. However, not all parameters and their influence are clear to the decision-makers and actors in the early design stages. Hence, we propose a Monte Carlo based sensitivity analysis (SA) and uncertainty analysis (UA) to show the significance of different parameters and quantify them. The SA aims to identify the major influencing parameters, whereas the UA quantifies the effect on the energy performance and indoor thermal comfort of occupants. The workflow is integrated into a collaborative design platform and applied in a case study to support decision-makers in the early design stages for new developments, densification, or refurbishment scenarios.
keywords	Monte Carlo Simulation, Sensitivity Analysis, Uncertainty Analysis, Building Energy Simulation, SDG 13, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220212
id	ijac202220212
authors	Castriotto, Caio; Felipe Tavares; Gabriela Celani; Olga Popovic Larsen; Xan Browne
year	2022
title	Clamp links: A novel type of reciprocal frame connection
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 378–399
summary	Reciprocal frames (RFs) are complex structural systems based on mutual support between elements. One of the main challenges for these structures is achieving geometrical complexity with ease for assembly. This paper describes the development of a new type of connection for RF that uses a single bolt to fix a whole fan. The method used was the Research Through Design, using algorithmic modelling and virtual and physical prototyping. After the exploration of different alternatives, the connection selected was structurally evaluated with a 3D solid finite element analysis (FEM) software and a 2D bar parametric model. Finally, a fullscale pavilion was built as a proof-of-concept. A total of 47 connections were fabricated using four 3D-printed templates combined with a hand router. The construction allowed us to draw conclusions on the connection design and the assembly method, and the process as a whole can contribute to the development of new structural links and production methods.
keywords	Reciprocal frames, connections, computational design, simulations, digital fabrication
series	journal
last changed	2024/04/17 14:29

_id	ecaade2022_170
id	ecaade2022_170
authors	Colonneau, Téva, Chenafi, Sabrina and Mastrorilli, Antonella
year	2022
title	Digital Intervention Methodologies and Robotic Manufacturing for the Conservation and the Restoration of 20th-Century Concrete Architecture Damaged by Material Loss
doi	https://doi.org/10.52842/conf.ecaade.2022.2.197
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 197–206
summary	This article deals with the characterisation of robotic manufacturing systems and digital interventions adapted for the conservation and the restoration of 20th-century concrete buildings. By exploiting the potential for analysis and implementation of robotic manufacturing technologies used in the field of heritage science, two associated non- invasive, non-destructive and integrated intervention solutions are presented here, using two research approaches. Through the use of digital recording tools, digital modelling / simulation and additive manufacturing techniques, the first approach develops a direct repair process by adding material with the help of aerial robots. The second focuses on printing recyclable plastic mouldings in order to reproduce partially degraded or completely destroyed architectural details. The results of these two diverse and complementary researches, as well as their experimental approaches applied to conservation and restoration practices, aim to test the proposed robotic manufacturing- based method, regarding the criteria of transferability and methodological feasibility.
keywords	20th-Century Concrete Built Heritage, Conservation and Restoration Practices, Digital Modelling, Robotic Manufacturing, Democratisation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_152
id	caadria2022_152
authors	Deshpande, Rutvik, Nisztuk, Maciej, Cheng, Cesar, Subramanian, Ramanathan, Chavan, Tejas, Weijenberg, Camiel and Patel, Sayjel Vijay
year	2022
title	Synthetic Machine Learning for Real-time Architectural Daylighting Prediction
doi	https://doi.org/10.52842/conf.caadria.2022.1.313
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 313-322
summary	"Synthetic Machine Learning‚ offers a revolutionary leap in real-time environmental analysis for conceptual architectural design. By integrating automatic synthetic data generation, artificial neural network (ANN) training and online deployment, Synthetic Machine Learning offers two main advantages over conventional simulation; First, it reduces the analysis time for a reference simulation from minutes to seconds; Second, it is possible to deploy ANN as a web service in an online design environment, which therein increases accessibility, significantly reducing simulation costs and setup time. The application of Synthetic Machine Learning to perform Daylight Autonomy (DA) and Spatial Daylight Autonomy (sDA) studies to maximise building daylighting for a given use, window to wall ratio, and floorplan arrangement is showcased through a preliminary demonstration work. Comparatively the use of algorithmically generated synthetic data versus real-world data is becoming ubiquitous in other disciplines, the advantages of this approach to the building design process are further discussed.
keywords	Daylight Autonomy, machine learning, building energy performance, synthetic data-sets, SDG 7, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_352
id	caadria2022_352
authors	Duran, Ayca, Iseri, Orcun Koral, Meral Akgul, Cagla, Kalkan, Sinan and Gursel Dino, Ipek
year	2022
title	Compiling Open Datasets to Improve Urban Building Energy Models with Occupancy and Layout Data
doi	https://doi.org/10.52842/conf.caadria.2022.2.669
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 669-678
summary	Urban building energy modelling (UBEM) has great potential for assessing the energy performance of the existing building stock and exploring various actions targeting energy efficiency. However, the precision and completeness of UBEM models can be challenged due to the lack of available and reliable datasets related to building occupant and layout information. This study presents an approach that aims to augment UBEM with open-data sources. Data collected from open data sources are integrated into UBEM in three steps. Step (1) involves the generation of occupant profiles from census data collected from governmental institutions. Step (2) relates to the automated generation of building plan layouts by extracting data on building area and number of rooms from an online real-estate website. Results of Steps (1) and (2) are incorporated into Step (3) to generate residential units with layouts and corresponding occupant profiles. Finally, we make a comparative analysis between data-augmented and standard UBEM based on building energy use and occupant thermal comfort. The initial results point to the importance of detailed, precise energy models for reliable performance analysis of buildings at the urban scale. 0864108000
keywords	urban building energy modelling, occupancy, residential building stock, unit layout Information, open-source datasets, energy demand, indoor thermal comfort, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220105
id	ijac202220105
authors	Fischer, Thomas; Thomas Wortmann
year	2022
title	Algebraic analysis and reconstruction of the Philips Pavilion’s hyperbolic paraboloid surfaces
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 61–75
summary	In this article, we present a procedure to derive algebraic descriptions from geometric descriptions of trimmed hyperbolic paraboloid (or ‘hypar’) surfaces. We contextualise this procedure historically, and we illustrate its application using the 1958 Philips Pavilion by Le Corbusier and Iannis Xenakis as a case study. The procedure uses parametric modelling and computational optimisation to converge on close algebraic ap- proximations of hyperbolic paraboloid geometry through a successive breakdown of vast search spaces. It departs from coordinate data of three or four vertices of a geometrically described hyperbolic paraboloid and yields the surface’s two quadratic coefficients, the coordinates of its centroid location and the rotation angles of its spatial orientation. The procedure exemplifies the under-explored analytical (as opposed to generative) use of computational optimisation and parametric modelling in the field of architectural computing.
keywords	Parametric analysis, optimisation, ruled surfaces, hyperbolic paraboloids, geometry reconstruction
series	journal
last changed	2024/04/17 14:29

_id	caadria2022_102
id	caadria2022_102
authors	Gardner, Nicole, Haeusler, Matthias Hank, Yu, Daniel, Barton, Jack, Dunn, Kate and Huang, Tracy
year	2022
title	Revisiting Shoei Yoh: Developing a Workflow for a Browser-Based 3D Model Environment to Create an Immersive Digital Archive
doi	https://doi.org/10.52842/conf.caadria.2022.1.687
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 687-696
summary	The digitisation of architecturally significant buildings and sites creates opportunities to innovate methods of analysis, interpretation, representation, and audience engagement. To illustrate this potential, but also examine the attendant challenges, this paper outlines a research project that has digitised archival assets and living buildings designed by the Japanese architect Shoei Yoh to create an immersive 3D Spatial Archive. It focuses particularly on the creation of a browser-based 3D environment using WebGL technology that connects to and displays a repository of digitised archival assets. This includes the use of 3D scan data of Yoh's Naiju Community Centre project to accurately model the 3D immersive environment and a Grasshopper / Rhino into the glTF. File format (graphics library Transmission Format) workflow to render Naiju‚s complex geometry and detailed outdoor scenery. The paper demonstrates how using the .glTF File, which is an open format specifically for transmitting processed and pre-calculated 3D models, can improve the processing efficiency of web-browser based 3D environments. Improving the stability and processing speed of 3D browser-based environments is significant to enhancing how audiences can connect with and experience culturally significant sites remotely. The digital recreation and repurposing of Naiju (which is currently unoccupied and in a state of disrepair) as an immersive archival exhibition space operates to simultaneously protect the real building from over visitation, but also raise awareness of its cultural significance to support preservation efforts. In so doing, the paper makes a further contribution to the developing field of digital cultural heritage.
keywords	Digital Cultural Heritage, Browser-based Modelling, glTF File, Architectural Visualisation, Shoei Yoh, SDG 9, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_55
id	ecaade2022_55
authors	Kazak, Jelena, De Luca, Francesco and Partanen, Jenni
year	2022
title	Wind Comfort Analysis and Design of Small Scale Elements for Improving Urban Space Livability - A case study in Talinn, Estonia
doi	https://doi.org/10.52842/conf.ecaade.2022.2.247
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 247–256
summary	Wind comfort plays a central role in improving the safety, livability, and resilience of urban environments. The modification of wind patterns by buildings can cause physical discomfort to pedestrians and danger to vulnerable populations. The height, size, location and shape of buildings and urban features have a significant effect on wind acceleration or mitigation. A study was performed on the potential for small-scale elements of enhancing wind comfort within three pedestrian areas in Tallinn’s Ülemiste district, which suffers from high urban wind discomfort. The investigation combined parametric design and CFD simulations to test a variety of wind shelter types and sizes and urban layout design to incorporate them into open spaces. A Lawson wind comfort criterion was used to evaluate wind discomfort in the actual situation and the possibility of improving comfort with the shelters. Based on initial results, the area in the state of comfort improved from 40% to 83 %. The methods and results are presented in detail in the paper.
keywords	Wind Comfort, Urban Comfort, Wind Simulations, Mitigation Strategies, Shelter Design Evaluation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_162
id	ecaade2022_162
authors	Kremer, Noemi, Bangratz, Martin, Beetz, Jakob and Förster, Agnes
year	2022
title	GIS-Box Improving Data Literacy in Spatial Disciplines - Integrating spatial data modeling, processing and visualization in spatial study programs
doi	https://doi.org/10.52842/conf.ecaade.2022.2.525
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 525–534
summary	Data modelling, processing, and visualization are crucial competencies for geospatial study programs. Students of different geospatial study programs need to be strengthened in the use and application of digital tools of spatial analysis and visualization within the digitization of teaching. This paper presents an approach on how digital tools for spatial analysis and visualization can be introduced into the curricula of architecture, urban planning and geography studies, strengthening the interdisciplinary exchange and students’ data literacy. As a result, an interdisciplinary methodological teaching format for spatial analysis, the "GIS-Box" is introduced. The GIS-Box is developed as a modular toolbox to provide material for collaborative and self-taught learning in different Master and Bachelor degree programs. It offers video lectures as well as practical tutorials, including an introduction to data modelling and programming, with the aim of improving students' data literacy. Students also learn to use QGIS to create maps for applied spatial research. In order to provide a uniform technical basis for teaching Python programming, Jupyter Notebooks are used. The integration of Jupyter Notebooks allows combining theoretical and practical programming content interactively. In this paper, we present the implementation of the class, statistically assess student results and experiences from teaching. In addition, positive and negative aspects of integrating GIS-Box with digital tools in teaching are discussed and further opportunities to improving data literacy in teaching are outlined.
keywords	GIS-Box, Digital Tools, Spatial Analysis, Data Literacy, Teaching
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_32
id	caadria2022_32
authors	Lin, Han-Ting and Hou, June-Hao
year	2022
title	Exploring the Topological System of Dougong
doi	https://doi.org/10.52842/conf.caadria.2022.1.667
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 667-676
summary	The large-span wooden construction project uses a sophisticated tenon joinery system to overcome the limitation on the size of the material. However, making a clear layout and knowledge transfer is an important issue under the complex structure. This research takes "Dougong‚ as an example to sort out the possible knowledge graph of Dougong. Through the geometric feature classification and the relationship between the joints, we found that the structural relationship of traditional Dougong is like the branch system of the L-system. But it has the characteristic of horizontal connections that make Dougong restrain one another more firmly. Besides a graphical representation of the complex joinery system, it can quickly visualize and adjust the type changes and therefore provide another network related to the building model. Besides computational geometry to traditional wood structure analysis and automation, we also explored two new types of Dougong from a perspective of the traditional wooden structure. So, in this research, we developed automatic digital tools for Dougong and propose new applications of Space Syntax, attempting to break through the existing limitations of Dougong.
keywords	Dougong joint, Knowledge Graph Visualization, Parametric design, Space Syntax, SDG 4, SDG 9, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_62
id	sigradi2022_62
authors	Mateus, Daniel; Henriques, Gonçalo Castro; Eskinazi, Mara; Menna, Ronaldo Lee; Nepomuceno, Taiane Melo
year	2022
title	Carioca modern facades: expanding passive shading systems through computational methods
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. 127–138
summary	In the 1940s, modern Rio de Janeiro architects developed passive systems to improve buildings performance, without resorting to air conditioning systems. This research studies the performance of a set of eight buildings, from the Carioca School, investigating in a prospective sense how to improve their performance through computational methods. The authors modelled the eight buildings and analysed as a case study the Nova Cintra building performance, regarding insolation and illuminance, using the environmental software Ladybug and Honeybee. Based on the simulation data, they used combinatorial modeling to change the position of each of the three shading type’s modules of the north facade of Nova Cintra, to improve their overall performance. Results confirm that is possible to continue to improve the buildings performance, as already accomplished by the modern buildings, using computational methods to improve, reducing also energy consumption through natural systems and diminishing the need for artificial air conditioning systems.
keywords	Generative Design, Shading performance, Insolation and illuminance analysis, Combinatorial modeling, Carioca modern facades
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	ecaade2022_264
id	ecaade2022_264
authors	Sanatani, Rohit Priyadarshi
year	2022
title	Democratizing Urban Data - A smartphone-based framework for rapid cataloging of geolocated street-level imagery and visual content analysis
doi	https://doi.org/10.52842/conf.ecaade.2022.1.511
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 511–516
summary	The commercial availability of high-resolution street view imagery, most notably Google Street View, has led to its widespread use in urban analytics research over the past couple of years. Recent developments in computer vision, most notably semantic segmentation and object detection, have made it possible to extract and map the visual features of streetscapes (such as buildings, automobiles, green cover, pedestrians etc.) using geo-located street level photographs. However, the absence of such detailed imagery in many parts of the world stands as a significant deterrent to these research methodologies. A majority of countries in Africa, the Middle East, as well as some parts of Asia currently have limited coverage by street view image providers. The cost component and equipment involved in manual data collection stands as a barrier to accessible urban visual data. This paper demonstrates a quick and inexpensive smartphone-based framework for rapid and inexpensive collection and cataloging of geolocated street-level imagery. The user walks/drives down the streets to be mapped with a smartphone, as a first-person egocentric hyper-lapse video is recorded with a fixed frame interval, along with location information for the path taken. The video frames are then automatically extracted, geo-referenced and stored in a readily retrievable format. This data can then easily be used for urban feature extraction through computer vision workflows. For demonstration, imagery has been cataloged for a ~1.5 sq.km urban area in New Delhi, and then processed through a semantic segmentation workflow for visual feature mapping. It is hoped that this framework plays a role in democratizing access to street level data for students and researchers regardless of national boundaries.
keywords	Street View Imagery, Democratizing Data, Hyperlapse Photography, Smartphone, Urban Analytics
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_431
id	ecaade2022_431
authors	Sieder-Semlitsch, Jakob and Nicholas, Paul
year	2022
title	Self-Serveying Multi-Robot System for Remote Deposition Modelling
doi	https://doi.org/10.52842/conf.ecaade.2022.1.233
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 233–240
summary	The need for increased automation of the AEC sector has been extensively documented within the architectural discipline over recent years. Far beyond economic perspectives, current advances in technology offer an increased and more direct implementation of sustainable materials. Within this research, the potential for the re-use of material with low embodied energy within automated construction will be examined. Herefore, Remote Material Deposition (RDM, firstly described in Dörfler et al., 2014) is utilized as main fabrication method, deploying varying compositions of local building debris, lime mortar, and sand, via a throwing arm. This research explores a method of continuous verification of material deployment and removal of material oversaturation to guarantee accuracy. Herefore, all instances of the robot ecology are in direct communication with one another and the user for verification, adaptation, and information. The proposed framework is examined through experimentation by designing, building, and implementing an inter-communicative network of bespoke semi-autonomous robots with all proposed parts of the system.
keywords	Construction Automation, Material Reuse, Onsite Construction, Self Verifying System, Robot Ecology, Additive Manufacturing
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_272
id	ecaade2022_272
authors	Soman, Aditya, Azadi, Shervin and Nourian, Pirouz
year	2022
title	DeciGenArch - A generative design methodology for participatory architectural configuration via multi-criteria decision analysis
doi	https://doi.org/10.52842/conf.ecaade.2022.1.459
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 459–468
summary	Our approach to Generative Design converts the problems of design from the geometrical drawing of shapes in a continuous setting to topological decision making about spatial configurations in a discrete setting. The paper presents a comprehensive formulation of the zoning problem as a sub-problem of architectural 3D layout configurations. This formulation focuses on the problem of zoning as a location-allocation problem in the context of Operations Research. Specifically, we propose a methodology for solving this problem by combining a well-known Multi-Criteria Decision-Analysis (MCDA) method called 'Technique for Order of Preference by Similarity to Ideal Solution' (TOPSIS) with a Multi-Agent System (MAS) operating in a discrete design space.
keywords	3D Layout problem, Participatory Design, Multi-Agent System, Multi-Criteria Decision Analysis, TOPSIS
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2022_220
id	sigradi2022_220
authors	Torreblanca-Díaz, David A.
year	2022
title	Biodigital Product Design Through Additive Fabrication Technologies: Beer Tap Handles Project
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. 1225–1236
summary	Biomimicry is a new transdisciplinary science that studies the models of nature to solve human problems with a systemic approach; design based on nature has had a significant evolution in recent decades thanks to digital technologies advantage, especially digital fabrication and parametric software. This text presents the process of design, experimentation and fabrication of beer tap handles series based on morphological patterns from nature. The project followed this methodological sequence (1) Design problem (2) Selection of biological referents (3) Morphologic synthesis (4) Analysis of thicknesses and stress (5) Detailed design (6) Fabrication of 1:1 scale prototype through Fused Deposition Modelling technology -FDM- (7) User testing (8) Conclusions and improvement proposal. The digital design and fabrication process were effective, the prototypes worked and reached the project goals, the users perceived that the beer tap handles are comfortable, functional and have an attractive appearance.
keywords	Biomimicry, Bio-informed disciplines, Parametric design, Additive fabrication technologies, Fused deposition modelling technology
series	SIGraDi
email
last changed	2023/05/16 16:57

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