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	ascaad2021_115
id	ascaad2021_115
authors	Shams El-Din, Hend
year	2021
title	Using 3D digital technologies for the documentation and reconstruction of destroyed heritage buildings
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 581-591
summary	Egypt lacks documentation of many of its distinguished heritage treasures, such as artifacts, buildings, monuments and sites. As for the documented component, documents remain in library shelves without much access except for specialists. Much of this documentation has disappeared as a result of neglect, damage factors and various structural repercussions, or as a result of demolition. There is no doubt about the number of heritage buildings that were demolished for city planning purposes, especially in Cairo which possesses more than a third of the traces of the Islamic civilization; a transformationthat is demonstrated by comparing scholar descriptions of the French campaign to Egypt in 1798 and photos taken from the years 1899 to 1920 and beyond, leading to loss of valuable cultural heritage. Therefore, the preservation of this heritage, with the advancement in digital technologies has become one of the important priorities at the international level to confront these problems.Some of the approaches in this regard involve 3D information modeling using either photogrammetry and laser scanning, or 3D modeling and documentation using AutoCAD or 3DMax. This paper addresses the use of Building Information Modeling (BIM) technology in recording, documenting and imagining the reconstruction of heritage buildings, especially partially or completely destroyed heritage buildings, based on written descriptions, pictures or drawings, and the exploitation of technology in the application of virtual heritage, the reconstruction and composition of buildings, structures or artifacts virtually on the computer at fixed epochs. The aim of the paper is to provide a framework to preserve heritage at a lower cost than modern high cost methods, provide a library of its unique architectural elements, revive heritage documents of antiquities, as well as benefiting from their added value in maintenance and restoration operations, and offering data for further studies related to preservation of cultural heritage.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ascaad2021_044
id	ascaad2021_044
authors	Özerol, Gizem; Semra Selçuk
year	2021
title	Designing Facades Based on Daylight Parameter: A Proposal for the Production of Complex Surface Panelization
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 58-68
summary	Nowadays, due to the increasing demand for sustainable design and energy efficient buildings, “performance” is becoming a key parameter behind design decisions. Traditional design methods may be insufficient in both evaluating the energy performance and producing optimized design alternatives, as well as in understanding the relationship between design variables and performance metrics. Recently, via parametric design tools and optimization algorithms, a wide range of design methods have been formed and various performance data have been measured and optimized. In this context, this study offers a design approach to integrate sustainability principles and physical environmental conditions into the design process as a quantifiable parameter used to improve building performance. Further, this study aims to design a facade and its modules based on environmental conditions in Istanbul, Turkey. The design process focuses on daylight radiation and the analysis of environmental data using a digital model. Rhino and Grasshopper software was used as the digital medium for design and Ladybug-Honeybee plugins were utilized in the analysis. Based on Istanbul’s weather data obtained from Ladybug, optimization of the model consisting of the first diagrams was achieved during the environmental analysis process. The model underwent the analysis process created for facade panelization and the panelization process was carried out according to daylight radiation. After the design process is completed, the model will be ready for production for the 3d printed model. As a result of the study, a discussion developed on how to integrate precast concrete panels into the design of complex geometrical surfaces using computational design techniques.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ecaade2021_060
id	ecaade2021_060
authors	Antinozzi, Sara, Ronchi, Diego, Fiorillo, Fausta and Barba, Salvatore
year	2021
title	3Dino: Configuration for a Micro-Photogrammetric Survey - Applying Dino-Lite microscope for the digitalization of a cuneiform tablet
doi	https://doi.org/10.52842/conf.ecaade.2021.2.211
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 211-222
summary	Close-range photogrammetry, due to the possibilities offered by the technological evolution of acquisition tools and, above all, the relative original challenges posed to surveyors and the theory of measurements, deserve constant critical attention. The new opportunities to detect and represent reality are mostly focused on historical architecture, referring to consequent orders of magnitude and restitution scales. On the other hand, the formalization of relevant practices for very small objects is not frequently addressed. In recent tests carried out using two Dino-Lite handheld digital microscope models, polarized light digital microscopes generally used in medical and industrial fields, we proved the potential of using these imaging systems also for Cultural Heritage documentation, highlighting, however, some issues related to the depth of field and the consequent acquisition geometry. Therefore, this study aims to solve these problems, increasing the performance of microscopic photogrammetry by optimizing the acquisition procedures with the design of custom accessories for micro-photogrammetry (e.g. a calibrated plate). These developments will be carried out as part of a technology transfer agreement with the Dino-Lite company pointed to codify a protocol for high accuracy photogrammetric documentation of small artefacts.
keywords	Digital Heritage; Small artefacts; Detailed 3D shape; Handheld microscope
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 351-358
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2021_280
id	sigradi2021_280
authors	Banda, Pablo, García-Alvarado, Rodrigo and Munoz-Sanguinetti, Claudia
year	2021
title	Architectural Digital Design for 3D Printing Housing: Search for 3D Printing in Construction Trends for a Design Methodology
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1409–1421
summary	This paper proposes the development of a methodology for the digital generation of valid 3D-printed houses designs and fabrication programming, in the search for an emerging architectural language of this technology. The aim is to develop a transparent, generic and variable modeling and management process, based on some parametric patterns for 3D printing, architectural and construction design knowledge. That serves as an outline or insight of what can be designing architectural 3d-printed forms in the Construction 4.0 era. Preliminary results, discussion and further work are presented.
keywords	3D Printed Buildings, Generative Design, Parametric Design, Digital Fabrication, Housing
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_305
id	caadria2021_305
authors	Keshavarzi, Mohammad, Afolabi, Oladapo, Caldas, Luisa, Yang, Allen Y. and Zakhor, Avideh
year	2021
title	GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
doi	https://doi.org/10.52842/conf.caadria.2021.1.091
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. 91-100
summary	The availability of rich 3D datasets corresponding to the geometrical complexity of the built environments is considered an ongoing challenge for 3D deep learning methodologies. To address this challenge, we introduce GenScan, a generative system that populates synthetic 3D scan datasets in a parametric fashion. The system takes an existing captured 3D scan as an input and outputs alternative variations of the building layout including walls, doors, and furniture with corresponding textures. GenScan is fully automated system that can also be manually controlled by a user through an assigned user interface. Our proposed system utilizes a combination of a hybrid deep neural network and a parametrizer module to extract and transform elements of a given 3D scan. GenScan takes advantage of style transfer techniques to generate new textures for the generated scenes. We believe our system would facilitate data augmentation to expand the currently limited 3D geometry datasets commonly used in 3D computer vision, generative design and general 3D deep learning tasks.
keywords	Computational Geometry; Generative Modeling; 3D Manipulation; Texture Synthesis
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2021_053
id	caadria2021_053
authors	Rhee, Jinmo and Veloso, Pedro
year	2021
title	Generative Design of Urban Fabrics Using Deep Learning
doi	https://doi.org/10.52842/conf.caadria.2021.1.031
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. 31-40
summary	This paper describes the Urban Structure Synthesizer (USS), a research prototype based on deep learning that generates diagrams of morphologically consistent urban fabrics from context-rich urban datasets. This work is part of a larger research on computational analysis of the relationship between urban context and morphology. USS relies on a data collection method that extracts GIS data and converts it to diagrams with context information (Rhee et al., 2019). The resulting dataset with context-rich diagrams is used to train a Wasserstein GAN (WGAN) model, which learns how to synthesize novel urban fabric diagrams with the morphological and contextual qualities present in the dataset. The model is also trained with a random vector in the input, which is later used to enable parametric control and variation for the urban fabric diagram. Finally, the resulting diagrams are translated to 3D geometric entities using computer vision techniques and geometric modeling. The diagrams generated by USS suggest that a learning-based method can be an alternative to methods that rely on experts to build rule sets or parametric models to grasp the morphological qualities of the urban fabric.
keywords	Deep Learning; Urban Fabric; Generative Design; Artificial Intelligence; Urban Morphology
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2021_287
id	ecaade2021_287
authors	Symeonidou, Ioanna
year	2021
title	Augmented Bodies - Interactive wearables for local-global synergies
doi	https://doi.org/10.52842/conf.ecaade.2021.1.213
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 213-222
summary	The paper documents the research and design of an interactive dance performance which was devised as a collective project of an interdisciplinary team comprising of architects, digital designers, musicians and dancers. The project employed methodologies of research by design and utilized a range of digital technologies for 3D body scanning, digital design, 3D printing of the wearables incorporating sensors of different types that would translate the data from the motion tracking into music and interactive video projections. The design process employed ad hoc methodologies, as there was constant feedback across designers, musicians, engineers and dancers. The design of the wearables was done on a 3D avatar, obtained through 3D scanning of the dancer's body. The wearables were designed with algorithmic tools and optimized in order to accommodate the necessary space for the sensors and microcontrollers. During the interactive dance performance the sounds are perceived to be coming from the body.
keywords	motion capture; arduino microcontrollers; 3D scanning; 3D printing; digital fashion; cross-disciplinary design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	cdrf2021_45
id	cdrf2021_45
authors	Wen Gao, Xuanming Zhang, Weixin Huang, and Shaohang Shi
year	2021
title	Command2Vec: Feature Learning of 3D Modeling Behavior Sequence—A Case Study on “Spiral-stair”
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_5
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	In this study, we applied machine learning to mine the event logs generated in modeling process for behavior sequence clustering. The motivation for the study is to develop cognitively intelligent 3D tools through process mining which has been a hot area in recent years. In this study, we develop a novel classification method Command2Vec to perceive, learn and classify different design behavior during 3D-modeling aided design process. The method is applied in a case study of 112 participate students on a ‘Spiral-stair’ modeling task. By extracting the event logs generated in each participate student’s modeling process into a new data structures: ‘command graph’, we classified participants’ behavior sequences from final 99 valid event logs into certain groups using our novel Command2Vec. To verify the effectiveness of our classification, we invited five experts with extensive modeling experience to grade the classification results. The final grading shows that our algorithm performs well in certain grouping of classification with significant features.
series	cdrf
email
last changed	2022/09/29 07:53

_id	acadia21_238
id	acadia21_238
authors	Anifowose, Hassan; Yan, Wei; Dixit, Manish
year	2021
title	BIM LOD + Virtual Reality
doi	https://doi.org/10.52842/conf.acadia.2021.238
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. 238-245.
summary	Architectural Education faces limitations due to its tactile approach to learning in classrooms with only 2-D and 3-D tools. At a higher level, virtual reality provides a potential for delivering more information to individuals undergoing design learning. This paper investigates a hypothesis establishing grounds towards a new research in Building Information Modeling (BIM) and Virtual Reality (VR). The hypothesis is projected to determine best practices for content creation and tactile object virtual interaction, which potentially can improve learning in architectural & construction education with a less costly approach and ease of access to well-known buildings. We explored this hypothesis in a step-by-step game design demonstration in VR, by showcasing the exploration of the Farnsworth House and reproducing assemblage of the same with different game levels of difficulty which correspond with varying BIM levels of development (LODs). The game design prototype equally provides an entry way and learning style for users with or without a formal architectural or construction education seeking to understand design tectonics within diverse or cross-disciplinary study cases. This paper shows that developing geometric abstract concepts of design pedagogy, using varying LODs for game content and levels, while utilizing newly developed features such as snap-to-grid, snap-to-position and snap-to-angle to improve user engagement during assemblage may provide deeper learning objectives for architectural precedent study.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2021_28
id	sigradi2021_28
authors	Atsumi, Kei, Hanazato, Toshihiro and Kato, Osamu
year	2021
title	The Assembly and Fabrication of Double Curved Panel Structure Using Japanese wood Joints created by Desktop 3D Printers
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1245–1255
summary	This research presents a new direction for freeform structure assembly and fabrication through the collaboration of 3D printing technology and Japanese wood joining technology. Full-scale, self-build prototyping is demonstrated without glue or metal fittings. Rather than relying on digital fabrication machines to match the architectural scale, this study utilizes the Fused Filament Fabrication (FFF) with desktop 3D printers, which is the most widespread and inexpensive printing technology. By incorporating the perspectives of wood joinery and compact 3D printers, this study promotes a drastic change in 3D printed architectural production from a massive structure-oriented system to a module-oriented system. The project demonstrates how artisanal knowledge integrates with 3D printing architectural production by reconfiguring joint geometry, parametric modeling, fabrication, and assembly processes. We discuss our research process and final achievements, and we provide new ideas for architectural production using digital fabrication.
keywords	Digital fabrication, Assembly, Japanese wood joints, 3D printing, Double- curved panel structure
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	cdrf2021_359
id	cdrf2021_359
authors	Ayoub Lharchi, Mette Ramsgaard Thomsen, and Martin Tamke
year	2021
title	Joint Descriptive Modeling (JDM) for Assembly-Aware Timber Structure Design
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_33
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Joints design is an essential step in the process of designing timber structures. Complex architectural topologies require thorough planning and scheduling, as it is necessary to consider numerous factors such as structural stability, fabrication capabilities, and ease of assembly. This paper introduces a novel approach to timber joints design that embed both fabrication and assembly considerations within the same model to avoid mistakes that might cause delays and further expenses. We developed a workflow that allows us to identify the fundamental data to describe a given joint geometry, machine-independent fabrication procedures, and the assembly sequence. Based on this, we introduce a comprehensive descriptive language called Joint Descriptive Model (JDM) that leverages industry standards to convert a joint into a usable output for both fabrication and assembly simulations. Finally, we suggest a seed of a joint’s library with some common joints.
series	cdrf
email
last changed	2022/09/29 07:53

_id	cdrf2021_368
id	cdrf2021_368
authors	B. Bala Murali Kumar, Yun Chung Hsueh, Zhuoyang Xin, and Dan Luo
year	2021
title	Process and Evaluation of Automated Robotic Fabrication System for In-Situ Structure Confinement
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_34
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	The additive manufacturing process is gaining momentum in the construction industry with the rapid progression of large-scale 3D printed technologies. An established method of increasing the structural performance of concrete is by wrapping it with Fibre Reinforced Polymer (FRP). This paper proposes a novel additive process to fabricate a FRP formwork by dynamic layer winding of the FRP fabric with epoxy resin paired with an industrial scale robotic arm. A range of prototypes were fabricated to explore and study the fabrication parameters. Based on the systemic exploration, the limitations, the scope, and the feasibility of the proposed additive manufacturing method is studied for large scale customisable structural formworks.
series	cdrf
email
last changed	2022/09/29 07:53

_id	sigradi2021_302
id	sigradi2021_302
authors	Bueno, Ernesto, Reis Balsini, André and Verde Zein, Ruth
year	2021
title	Analysis by Algorithmic Modeling of Historiographical Data on Modern and Contemporary Brazilian Architecture
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 737–748
summary	Are historiographic diagrams valid instruments for gauging the main constituent aspects of historiographic documentation of a body of architectural production? The paper aims to discuss the results obtained by algorithmic modeling and three-dimensional visualization of historiographic data. The analysis method proposes a diagrammatic approach to the research object, established from the fundamentals originally described by Zein (2020). The diagrams were created using the algorithmic modeling software Grasshopper, which allowed us to combine a precise recording of data with an original approach to its interpretation. From the data collected, Cartesian coordinates were established for the generation of curves and interpolation surfaces representative of the computed aspects of certain historiographic narratives. With wide application possibilities, the resulting algorithmic diagrams establish a new model for data analysis and visualization, which stands as a consistent alternative to other more commonly used digital bibliometric tools.
keywords	Análise de dados, Big Data, Visualizaçao de dados, Historiografia, Arquitetura moderna brasileira
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ecaade2021_202
id	ecaade2021_202
authors	Campos, Tatiana, Cruz, Paulo J. S. and Figueiredo, Bruno
year	2021
title	The Use of Natural Materials in Additive Manufacturing of Buildings Components - Towards a more sustainable architecture
doi	https://doi.org/10.52842/conf.ecaade.2021.1.355
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 355-364
summary	The demand for sustainable building materials is currently a major concern of society. It is known that the traditional construction industry requires a high consumption of inorganic materials, which is associated with the excessive production of waste. Thus, this article intends to demonstrate the possibility of using the Additive Manufacturing (AM) technique Paste Extrusion Modeling (PEM) in the production of reusable, biodegradable and recyclable construction systems, using a combination of different natural materials that have created multiple pastes with different additives.Cellulose is a natural material - biodegradable, recyclable and low cost - and its implementation aims to change some aspects of the current state of the construction sector and can have a real impact on the exploration of innovative solutions and more sustainable alternative building systems. The integration of AM techniques, PEM method, supported by computational modelling tools, will allow the definition of a building system and its components. Depending on the material used - natural materials or biomaterials - the constraints and limitations of AM will be considered.
keywords	Cellulose; Natural Fibers; Additive Manufacturing; Sustainable Construction
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia21_160
id	acadia21_160
authors	Cao, Shicong; Zheng, Hao
year	2021
title	A POI-Based Machine Learning Method in Predicting Health
doi	https://doi.org/10.52842/conf.acadia.2021.160
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. 160-169.
summary	This research aims to explore the quantitative relationship between urban planning decisions and the health status of residents. By modeling the Point of Interest (POI) data and the geographic distribution of health-related outcomes, the research explores the critical factors in urban planning that could influence the health status of residents. It also informs decision-making regarding a healthier built environment and opens up possibilities for other data-driven methods. The data source constitutes two data sets, the POI data from OpenStreetMap, and the PLACES: Local Data for Better Health dataset from CDC. After the data is collected and joined spatially, a machine learning method is used to select the most critical urban features in predicting the health outcomes of residents. Several machine learning models are trained and compared. With the chosen model, the prediction is evaluated on the test dataset and mapped geographically. The relations between factors are explored and interpreted. Finally, to understand the implications for urban design, the impact of modified POI data on the prediction of residents' health status is calculated and compared. This research proves the possibility of predicting resident's health from urban conditions with machine learning methods. The result verifies existing healthy urban design theories from a different perspective. This approach shows vast potential that data could in future assist decision-making to achieve a healthier built environment.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ascaad2021_069
id	ascaad2021_069
authors	Cheddadi, Aqil; Kensuke Hotta, Yasushi Ikeda
year	2021
title	Exploring the Self-Organizing Structure of the Moroccan Medina: A Simulation Model for Generating Urban Form
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 672-685
summary	This research explores the use of generative design and computational simulations in the exploration of urban compositions based on traditional urban forms from North Africa. Upon the examination of these urban settlements, we discuss the relationship between traditional urban form and generative urbanism theory. We investigate several factors that allow these self-generated urban tissues to be highly adaptive to social, spatial, and environmental change. Following this, we formulate guidelines to reinterpret some of the characteristics of these urban forms. Built on these features, the simulation seeks to explore the generation of abstract urban forms and their optimization. In this regard, this experiment utilizes 3D and parametric design tools (Rhinoceros 3D and Grasshopper) to define a generative urban simulation and optimization model. It explores the use of algorithmic design methodology in the definition and optimization of the generated urban form. For this purpose, grid-based operations with base modules are used in conjunction with introverted urban blocks. We employ evolutionary algorithms and Pareto front methodology to visualize and rank a multitude of optimized results that are evaluated using three different and conflicting design objectives: sun exposure, physical accessibility, and urban density. The results are ranked and analyzed by comparing the outcomes of these different objective functions. The result of this study shows that it is possible to allow a degree of diversification of a myriad of urban configurations with a generative form-finding algorithm while still maintaining a rather commendable adaptability to various design constraints in the case of high-density settings. In this research, it is anticipated that an algorithmic design model is a fitting contemporary solution that can simulate the philosophy of a design made without a designer and offer a wide range of objective-based spatial solutions. It sets the stage for a discussion about the relevance of reinterpreting traditional urban forms from north Africa by designing a generative model that allows for self-organization.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	cdrf2021_252
id	cdrf2021_252
authors	Chengyu Sun, Shuyang Li , Yinshan Lin, and Weilin Hu
year	2021
title	From Visual Behavior to Signage Design: A Wayfinding Experiment with Eye-Tracking in Satellite Terminal of PVG Airport
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_24
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Passengers principally rely on signage to making wayfinding decisions in transportation buildings. Most existing research focuses on the analysis of the wayfinding trajectory, but there is less attention on the process of how passengers make the wayfinding decision. So, it is hard to accurately locate the causes of the wrong wayfinding decision. Taking the Satellite Terminal of Shanghai Pudong International Airport (PVG Airport) as an example, we adopted the eye-tracking technology and recorded the eye-tracking data of passengers observing the signage and making wayfinding decisions. Then, we compared and analyzed the data, presenting it by data visualization. This study found the causes of passengers making wrong wayfinding decisions and the visual behavior of wayfinding: the reconfirmation behavior, the priority of attention, and the clockwise observation. Finally, corresponding suggestions for signage design optimization are put forward regarding some wayfinding decision points. As a result, the optimized signage system in the satellite terminal is welcomed by the passengers two months later according to monthly questionnaires.
series	cdrf
last changed	2022/09/29 07:53

_id	ecaade2021_279
id	ecaade2021_279
authors	Coraglia, Ugo Maria, Zhu, Zhelun, Fioravanti, Antonio, Simeone, Davide and Cursi, Stefano
year	2021
title	A new Relation Matrix as a Fruitful Meta-Design Tool - How to overcome typological limits
doi	https://doi.org/10.52842/conf.ecaade.2021.1.295
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 295-302
summary	The use of meta-design tools to support the early stages of the design process is widely proven in literature. Among these tools, the adjacency matrix and the bubble diagram provided the various professionals involved - not only in the AEC sector - with some useful information mainly regarding the connection types between spaces and the sizing of their dimensions. With the evolution of design and the change of architectural aims (e.g. sustainability, refurbishment), it is not fruitful, especially related to complex buildings (e.g. hospital, airport), to manage spaces and their connections through the traditional Adjacency Matrix and its dual (Bubble Diagram). These tools, used as they were originally designed, do not consider other characteristics but basic topological ones and are still linked to 2D geometry. For this reason, this research aims to increase the unexplored design potential of these tools considering huge advances in building object representation and links with knowledge. The first research steps led to a 3D analysis capable of providing knowledge on the connections and adjacencies between spaces and its environments located on different floors. Therefore, we decided to define further goals, breaking limits of the "adjacency" concept for a more extendable and general concept of "relation" between spaces and environments.
keywords	Relation Matrix; Meta-design; Architectural design theory; Tool
series	eCAADe
email
last changed	2022/06/07 07:56

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