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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	caadria2021_194
id	caadria2021_194
authors	Sun, Chengyu, Li, MengTing and Jiang, Hanchen
year	2021
title	Developing an Automatic Code Checking System for the Urban Planning Bureau of Huangpu District in Shanghai
doi	https://doi.org/10.52842/conf.caadria.2021.1.291
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. 291-300
summary	As Chinese cities entering a so-called organic renewal era, building projects runs with much more constraints from high-density and high-rise surroundings. Such a situation makes the technical review in any urban planning bureau time-consuming and error-prone, which conflicts with the developers profits and citizens rights. This study introduces a preliminary system being developed for the planning bureau of Huangpu District, Shanghai. It has covered 21 code items among 44 computational ones of the local planning codes last year, which automatically generates technical reviews upon developers submissions. Due to the feasible level of BIM application in domestic projects, a set of strategic approaches, such as the standardization of CAD drawings and the reconstruction of an internal building information model, are adopted rather than developing the system on any BIM platform directly. Two examples of technical reviews about distance-checking between buildings and length-checking of facades are demonstrated, in which officers reached confidential judgments in seconds rather than several days conventionally.
keywords	Planning Constraints; Code Checking; 3D Reconstruction; Design Automation; Building Information Model
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia21_112
id	acadia21_112
authors	Kahraman, Ridvan; Zechmeister, Christoph; Dong, Zhetao; Oguz, Ozgur S.; Drachenberg, Kurt; Menges, Achim; Rinderspacher, Katja
year	2021
title	Augmenting Design
doi	https://doi.org/10.52842/conf.acadia.2021.112
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. 112-121.
summary	In recent years, generative machine learning methods such as variational autoencoders (VAEs) and generative adversarial networks (GANs) have opened up new avenues of exploration for architects and designers. The presented work explores how these methods can be expanded by incorporating multiple abstract criteria directly into the formulation of the algorithm that negotiates these complex criteria and proposes a fitting design. It draws inspiration from the works of several design theorists who have developed such goal-oriented approaches to design, and sets up multiple-objective VAE and GAN frameworks with this idea in mind. The research demonstrates that by incorporating multiple constraints using auxiliary discriminator networks, the developed algorithms are able to generate innovative solutions to two example problems: the design of 2D digits, and the design of 3D voxel chairs. By speculating and examining the role of the designer in data based generative computational design workflows, the research aims to provide an approach for solving design tasks in the age of big data.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_116
id	caadria2021_116
authors	Yenardi, Anna Claudia and Janssen, Patrick
year	2021
title	Mass Participatory Design on the Web - A Voxel-Based 3D Modelling Approach
doi	https://doi.org/10.52842/conf.caadria.2021.2.031
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 31-40
summary	The traditional participatory design approach has its physical limitations regarding the number of workshop participants and visualisation tools used. In order to get the input from more people and to enable three-dimensional design visualisation, an online web-game is developed as a mass participatory design tool. For the purpose of this research, a specific social issue regarding the 'Not In My BackYard' (NIMBY) attitude in Singapore was chosen as a vehicle. The results from a small pilot test group of a prototype shows that the participants find this approach engaging. The game also has a potential in terms of recording participants' design and attitude inputs.
keywords	Mass Participatory Design; Citizen Participation; Web-game Design; three.js; WebGL
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia21_48
id	acadia21_48
authors	Nahmad Vazquez, Alicia; Chen, Li
year	2021
title	Automated Generation of Custom Fit PPE Inserts
doi	https://doi.org/10.52842/conf.acadia.2021.048
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. 48-57.
summary	This research presents a machine learning-based interactive design method for the creation of customized inserts that improve the fit of the PPE 3M 1863 and 3M 8833 respiratory face masks. These two models are the most commonly used by doctors and professionals during the recent covid19 pandemic. The proper fit of the mask is crucial for their performance. Characteristics and fit of current leading market brands were analyzed to develop a parametric design software workflow that results in a 3D printed insert customized to specific facial features and the mask that will be used. The insert provides a perfect fit for the respirator mask. Statistical face meshes were generated from an anthropometric database, and 3D facial scans and photos were taken from 200 doctors and nurses on an NHS trust hospital. The software workflow can start from either a 2D image of the face (picture) or a 3D mesh taken from a scanning device. The platform uses machine learning and a parametric design workflow based on key performance facial parameters to output the insert between the face and the 3M masks. It also generates the 3d printing file, which can be processed onsite at the hospital. The 2D image approach and the 3D scan approach initializing the system were digitally compared, and the resultant inserts were physically tested by 20 frontline personnel in an NHS trust hospital. Finally, we demonstrate the criticality of proper fit on masks for doctors and nurses and the versatility of our approach augmenting an already tested product through customized digital design and fabrication.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia21_246
id	acadia21_246
authors	Safley, Nick
year	2021
title	Reconnecting...
doi	https://doi.org/10.52842/conf.acadia.2021.246
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. 246-255.
summary	This design research reimagines the architectural detail in a postdigital framework and proposes digital methods to work upon discrete tectonics. Drawing upon Marco Frascari's writing The Tell-the-Tale Detail, the study aims to reimagine tectonic thinking for focused attention after the digital turn. Today, computational tools are powerful enough to perform operations more similar to physical tools than in the earlier digital era. These tools create a "digital materiality," where architects can manipulate digital information in parallel and overlapping ways to physical corollaries. (Abrons and Fure, 2018) To date, work in this area has focused on materiality specifically. This project reinterprets tectonics using texture map editing and point cloud information, particularly reconceptualizing jointing using images. Smartphone-based 3D digital scanning was used to captured details from a series of Carlo Scarpa's influential works, isolating these details from their physical sites and focusing attention upon individual tectonic moments. As digital scans, these details problematize the rhetoric of smoothness and seamlessness prevalent in digital architecture as they are discretely construed loci yet composed of digital meshes. (Jones 2014) Once removed from their contexts, reconnecting the digital scans into compositions of "compound details" necessitated a series of new mechanisms for constructing and construing not native to the material world. Using Photoshop editing of texture-mapped images, digital texturing of meshes, and interpretation of the initial material constructions, new joints within and between these the digital scanned details were created to reframe the original detail for the post-digital.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_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	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	caadria2021_225
id	caadria2021_225
authors	Cao, Shuqi and Ji, Guohua
year	2021
title	Automatically generating layouts of large-scale office park using position-based dynamics
doi	https://doi.org/10.52842/conf.caadria.2021.1.021
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. 21-30
summary	In this paper we propose an automatic layout algorithm using PBD (Position-Based Dynamic) for large-scale office park planning. Typically, the organization of buildings into a layout is a labor-intensive problem, and takes up most of designers working time. Unlike Evolutionary Algorithms who has high computational cost, and GAN (Generative Adversarial Networks) whose constraints are not explicit, PBD can handle complex geometric constraints fast enough to be used in interactive environments. The high efficiency will not only accelerate the design iteration from draft to drawings, but also provide precious feasible sample for performance optimization. Furthermore, PBD is intuitive and flexible to be implemented which makes it a potential technique to be used in real design workflow.
keywords	Generative Design; Automated Layout Generation; Position-Based Dynamics; Real-time Design Tool; Exploratory Design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2021_037
id	ecaade2021_037
authors	Kikuchi, Takuya, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Automatic Diminished Reality-Based Virtual Demolition Method using Semantic Segmentation and Generative Adversarial Network for Landscape Assessment
doi	https://doi.org/10.52842/conf.ecaade.2021.2.529
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. 529-538
summary	In redevelopment projects in mature cities, it is important to visualize the future landscape. Diminished reality (DR) based methods have been proposed to represent the future landscape after the structures are removed. However, two issues remain to be addressed in previous studies. (1) the user needs to prepare 3D models of the structure to be removed and the background structure to be rendered after removal as preprocessing, and (2) the user needs to specify the structure to be removed in advance. In this study, we propose a DR method that detects the objects to be removed using semantic segmentation and completes the removal area using generative adversarial networks. With this method, virtual removal can be performed without preparing 3D models in advance and without specifying the removal target in advance. A prototype system was used for verification, and it was confirmed that the method can represent the future landscape after removal and can run at an average speed of about 8.75 fps.
keywords	landscape visualization; virtual demolition; diminished reality (DR); deep learning; generative adversarial network (GAN); semantic segmentation
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2021_038
id	ecaade2021_038
authors	Nakabayashi, Mizuki, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Mixed Reality Landscape Visualization Method with Automatic Discrimination Process for Dynamic Occlusion Handling Using Instance Segmentation
doi	https://doi.org/10.52842/conf.ecaade.2021.2.539
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. 539-546
summary	Mixed reality (MR), which blends real and virtual worlds, has attracted attention as a visualization method in landscape design. MR-based landscape visualization enables stakeholders to examine landscape changes at actual scale in real-time at the actual project site. One challenge in MR-based landscape visualization is occlusion, which occurs when virtual objects obscure physical objects that are in the foreground. Previous research proposed an MR-based landscape visualization method with dynamic occlusion by using semantic segmentation of deep learning. However, this method has two problems. The first is that the same kind of objects that are grouped into one or overlapped types are classified as the same object, and the other is that the foreground objects have to be defined in pre-processing. In this study, we developed a system for large-scale MR landscape visualization that enables the recognition of each physical object individually using instance segmentation, and it is possible to accurately represent the positional relationship by comparing the coordinate information of the 3D virtual model and all physical objects.
keywords	landscape visualization; mixed reality; instance segmentation; dynamic occlusion handling; deep learning
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2021_040
id	ecaade2021_040
authors	Zhan, Qiang, Wu, Hao, Zhang, Liming, Yuan, Philip F. and Gao, Tianyi
year	2021
title	3D Concrete Printing with Variable Width Filament
doi	https://doi.org/10.52842/conf.ecaade.2021.2.153
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. 153-160
summary	Traditional mold-based concrete construction methods are inefficient, poor quality, and labor-intensive. Concrete 3D printing technology is expected to replace traditional methods as an emerging intelligent construction method due to its flexible, automatic, fast, and mold-free features. Concrete 3D printing is a method by extruding and selectively laminating construction materials onto a specific path, relying on fine-grained control of the printing material and the printing device. However, the maximum printing resolution is limited by the width of the toolpath. Filament width and printing resolution are two main factors that need to balance. In this paper, a variable width printing method is proposed using the active nozzle speed control method. The width of the print path can be adjusted according to the model details. A width control algorithm is proposed. The general workflow of variable width printing, including model preparation, toolpath planning, robotic fabrication, is also introduced, and a concrete bench is printed for experimental validation. The result shows great application potential for surface decoration and structural reinforcement. The efficiency, feasibility, and problems encountered in printing are analyzed and summarized.
keywords	3D concrete printing; variable filament width; robotic fabrication
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2021_328
id	caadria2021_328
authors	Wells, Cameron, Schnabel, Marc Aurel, Moleta, Tane and Brown, Andre
year	2021
title	Beauty is in the Eye of the Beholder - Improving the Human-Computer Interface within VRAD by the active and two-way employment of our visual senses
doi	https://doi.org/10.52842/conf.caadria.2021.2.355
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 355-364
summary	Whether it is via traditional methods with pen and paper or contemporary techniques such as 3D digital modelling and VR drawing, the eye typically plays a mostly passive or consuming role within the design process. By incorporating eye-tracking deeper within these methods, we can begin to discern this technologys possibilities as a method that encompasses the visual experience as an active input. Our research, however, developed the Eye-Tracking Voxel Environment Sculptor (EVES) that incorporates eye-tracking as there design actor. Through EVES we can extend eye-tracking as an active design medium. The eye-tracking data garnered from the designer within EVES is directly utilised as an input within a modelling environment to manipulate and sculpt voxels. In addition to modelling input, eye-tracking is also explored in its usability in the Virtual Reality User Interface. Eye-tracking is implemented within EVES to this extent to test the limits and possibilities of eye-tracking and the Human-Computer Interface within the realm of Virtual Reality Aided Design.
keywords	Human-Computer Interface (HCI); Eye-Tracking; Virtual Reality; modelling; sketching
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_250
id	caadria2021_250
authors	Aghaei Meibodi, Mania, Odaglia, Pietro and Dillenburger, Benjamin
year	2021
title	Min-Max: Reusable 3D printed formwork for thin-shell concrete structures - Reusable 3D printed formwork for thin-shell concrete structures
doi	https://doi.org/10.52842/conf.caadria.2021.1.743
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. 743-752
summary	This paper presents an approach for reusable formwork for thin-shell, double-sided highly detailed surfaces based on binder jet 3D printing technology. Using binder jetting for reusable formwork outperforms the milled and 3D printed thermoplastic formwork in terms of speed and cost of fabrication, precision, and structural strength against deformation. The research further investigated the synergy of binder jetting sandstone formwork with glass-fiber reinforced concrete (GFRC) to fabricate lightweight, durable, and highly detailed facade elements.We could demonstrate the feasibility of this approach by fabricating a minimal surface structure assembled from 32 glass-fiber reinforced concrete elements, cast with 4 individual formwork elements, each of them reused 8 times. By showing that 3D printed (3DP) formwork cannot only be used once but also for small series production we increase the field of economic application of 3D printed formwork. The presented fabrication method of formwork based on additive manufacturing opens the door to more individualized, freeform architecture.
keywords	Binder Jet 3D Printing; 3D Printed Formwork; Reusable Formwork; Minimal Surface; GFRC (GRC)
series	CAADRIA
email
last changed	2022/06/07 07:54

_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	sigradi2021_29
id	sigradi2021_29
authors	Delgado, Maria and Collins, Jeffrey
year	2021
title	Otavalo Textile Grammar: Patterns and Dialogues
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. 669–683
summary	This paper focuses on the woven textiles of Otavalo, Ecuador, as a case study for improved cultural representation in architectural design. A shape grammar methodology is used to identify specific geometry and elucidate relationship rules found in existing artifacts. These geometry and relationships are subsequently used to produce patterns; both replicas of traditional tapestries as well as new configurations. Extending from 2D to 3D and from digital to physical, sets of modular prototypes are developed based on patterns produced using the defined Otavalo Textile Grammar. Model parts are supplied to study participants; new building blocks for architecture as a spatial and social undertaking.
keywords	maker culture, design computation, shape grammars, digital craft
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	cdrf2021_129
id	cdrf2021_129
authors	Fuyuan Liu, Min Chen, Lizhe Wang, Xiang Wang, and Cheng-Hung Lo
year	2021
title	Custom-Fit and Lightweight Optimization Design of Exoskeletons Using Parametric Conformal Lattice
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_12
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	This paper presents an integrated design method for the customization and lightweight design of free-shaped wearable devices, illustrated by a lower limb exoskeleton. The customized design space is derived from the 3D scanning models. Based on the finite element analysis, the structural framework is determined through topology optimization with allowable strength. By means of generative design, the lattice library is constructed to fill the frames under different conformal algorithms. Finally, the proposed method is illustrated by the exoskeleton design case.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2021_382
id	caadria2021_382
authors	Heidari, Farahbod, Saleh Tabari, Mohammad Hassan, Mahdavinejad, Mohammadjavad, Werner, Liss C. and Roohabadi, Maryam
year	2021
title	Bio-Energy Management from Micro-Algae Bio-Computational Based Reactor
doi	https://doi.org/10.52842/conf.caadria.2021.1.401
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. 401-410
summary	Microalgae are a sustainable source of unique properties with potential for various applications. Biofuel production has led to the use of them as bioreactors on an architectural scale. Most of these efforts cannot manage the output due to the lack of intelligent control and monitoring over environmental micro-scale growth. This research presents the possibility of control and monitoring over the bio-energy retrieved through micro-organisms in bio-reactors, specifically the growth environments computation. To achieve monitoring, three dimensions of the medium culture captured by cameras, and with the advantage of image processing, the picture frames pixel values measured. In this process, we use the Python OpenCV Library as an image processing reference. Finally, a specifically developed algorithm analyses the calculated 3d-matrix. By changing the environmental parameters, control happens by directly recognizing changes in density and outputs. This researchs computational process has proposed a novel approach for controlling particle-based environments to reach the desired functions of microorganisms, This approach can use in a wide range of cases as a method.
keywords	Bio-Computation; Monitoring; Image Processing; Pattern Recognition; Multi-Functional Bio-Materials
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ascaad2021_082
id	ascaad2021_082
authors	Ishac, Mina
year	2021
title	Parametric Simulation and Sensitivity of Light Shelf on Daylighting and Shading: Light Shelf Performance Map
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. 84-98
summary	The design of the optimal light shelf to maximize daylighting performance in a space is governed by many factors which change simultaneously. The dynamic characteristics inherited in such factors range from: temporal changes of daylight over the course of the year and the change of daylighting conditions from one country to another to variable factors that are informed by the design process and functional programmatic use. The lack of a comprehensive study that links all these factors together to find out the near-optimal light shelf adapted to different conditions and locations, and moreover devise performance map that could be used to predict the performance. Given the constrains of light shelf’s dimensions endorsed by previous literature, this paper develops a map to predict daylighting in unexamined geographical locations, based on annual daylight profile in 3 cities (Stockholm, Cairo, and Nairobi) using quadratic regression method. The aim is to find the approximate dimensions for the needed near-optimal light shelf that optimizes daylighting and shading in any location. The paper uses a parametric approach to simulate daylighting using Radiance, in which 11 models of light shelves will be varied in a hypothetical typical room. The studied variables are: geographical latitude and their respective climatic conditions, and window-to-wall ratio (20-60%). The examined aspects: seasonal hourly illuminance, annual daylighting using UDI and DAV, average annual uniformity, and control of direct sunlight. The data are analyzed in MATLAB to present plot radar diagrams which can provide insights into the performance sensitivities of the models, with respect to daylighting. The performance curves are a preliminary design tool, that is based on approximation of dynamic daylighting.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ecaade2021_036
id	ecaade2021_036
authors	Kikuchi, Naoki, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Landscape Visualization by Integrating Augmented Reality and Drones with Occlusion Handling to Link Real and Virtual Worlds - Towards city digital twin realization
doi	https://doi.org/10.52842/conf.ecaade.2021.2.521
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. 521-528
summary	In the field of urban architecture and design, augmented reality (AR)-based landscape visualization is useful for building consensus among stakeholders at the design stage. An integrated AR and drone method can visualize future and past landscapes from an aerial perspective but has to address the problem of occlusion, where a 3D virtual model is displayed in front of the real-world objects. In this study, we propose an AR and drone integrated landscape visualization method to handle occlusion by linking the drone's location information in the real world and the camera in the virtual world. The method uses a 3D model of an existing building, which is part of the city model, to represent the 3D model of the design target as if the target were behind the existing building in the real world. Users can use the perspective of the drone, which flies along a set route, to examine the future landscape with high accuracy, as visualized using AR with occlusion handling.
keywords	Digital twin; Occlusion handling; Landscape visualization; Web-based augmented reality (web AR); Drone; Urban design
series	eCAADe
email
last changed	2022/06/07 07:52

_id	sigradi2021_83
id	sigradi2021_83
authors	Kim, Taeyong, Guida, George and Kim, Dongyun
year	2021
title	VitruviAR: Interactive Augmented Reality for Early Design Stage Applications
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. 1101–1112
summary	The increasing development of Augmented Reality (AR) applications have found prevalence within construction stages of architectural projects. The workflows developed within digital fabrication and assembly processes provide insights on how the design cycle could be completed through mixed reality. In this paper we present VitruviAR, an AR prototype for handheld devices which focuses on the design ideation stages of a project through an intuitive user interface and multi-functional toolset. Three design methodologies relating to the act of sketching digitally are proposed: freeform 3D sketching in point-based meshes, additive 3D sketching with primitive and scanned objects, and computational 3D sketching via a User Datagram Protocol (UDP). These each demonstrate engaging ways of designing and visualizing new spaces and interacting with urban contexts in real-time.
keywords	Augmented Reality, Design, Accessibility, Interaction
series	SIGraDi
email
last changed	2022/05/23 12:11

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