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	ecaade2021_125
id	ecaade2021_125
authors	Heidari, Farahbod, Mahdavinejad, Mohammadjavad, Werner, Liss C. and Khayami, Sima
year	2021
title	PH Computation to Growth Prediction
doi	https://doi.org/10.52842/conf.ecaade.2021.1.095
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. 95-104
summary	Bacterial cellulose is a bio self-assembled organic material with unique features such as great tensile strength, biodegradability, and renewable potential that has made it worthwhile for different fields of industrial development research. Since the past decade, in the field of architecture also, enormous efforts were done to reach the desired guided shape of bacterial cellulose with optimized structural features. However, all these efforts are in their infancy. To reach the adaptive architectural bio-component, we need something beyond static prototyping. Therefore, we investigate the specific type "Bacterium Glucoacetobacter xylinus(BC)" cellulose growth procedure by syncing the culture medium (cellulose growth environment) to a virtual stimulating environment to introduce the computational architectural design process based on dynamic biological structures. This research presents the smart design process via the syncing of CAD environment and growth environment to create a framework that provides data analysis that the implementation of its outcomes can revolutionize the bio-digital fabrication process.
keywords	Bio-fabrication; Bio-based material; Biocomputation; Living Functional Components; Pattern Recognition; AI prediction
series	eCAADe
email
last changed	2022/06/07 07:49

_id	acadia21_470
id	acadia21_470
authors	£ochnicki, Grzegorz; Kalousdian, Nicolas Kubail; Leder, Samuel; Maierhofer, Mathias; Wood, Dylan; Menges, Achim
year	2021
title	Co-Designing Material-Robot Construction Behaviors
doi	https://doi.org/10.52842/conf.acadia.2021.470
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. 470-479.
summary	This paper presents research on designing distributed, robotic construction systems in which robots are taught construction behaviors relative to the elastic bending of natural building materials. Using this behavioral relationship as a driver, the robotic system is developed to deal with the unpredictability of natural materials in construction and further to engage their dynamic characteristics as methods of locomotion and manipulation during the assembly of actively bent structures. Such an approach has the potential to unlock robotic building practice with rapid-renewable materials, whose short crop cycles and small carbon footprints make them particularly important inroads to sustainable construction. The research is conducted through an initial case study in which a mobile robot learns a control policy for elastically bending bamboo bundles into designed configurations using deep reinforcement learning algorithms. This policy is utilized in the process of designing relevant structures, and for the in-situ assembly of these designs. These concepts are further investigated through the co-design and physical prototyping of a mobile robot and the construction of bundled bamboo structures. This research demonstrates a shift from an approach of absolute control and predictability to behavior-based methods of assembly. With this, materials and processes that are often considered too labor-intensive or unpredictable can be reintroduced. This reintroduction leads to new insights in architectural design and construction, where design outcome is uniquely tied to the building material and its assembly logic. This highly material-driven approach sets the stage for developing an effective, sustainable, light-touch method of building using natural materials.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2022_373
id	ecaade2022_373
authors	Gatóo, Ana, Koronaki, Antiopi, Chaudary, Abhinav, Gin, Yelda, Shah, Darshil U., Wiegand, Eduardo, Hesselgren, Lars, Ainoura, Midori, Bakker, Ron and Ramage, Michael H.
year	2022
title	Unfolding Timber - A future of design
doi	https://doi.org/10.52842/conf.ecaade.2022.1.057
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. 57–66
summary	“Unfolding” is a pavilion comprised of six lightweight structures designed for the London Design Biennale 2021. “UnFolding” examines the potential for using engineered timber with digital tools to produce flexible interiors. The pavilion is folded through kerfing methods into fractal-based structures. Extensive research, testing and sample fabrication to acquire optimal flexibility of different timber members through kerf patterns was accomplished for the project.
keywords	Engineered Timber, Unfolding Timber, Flexible Housing, Folding Structures, Timber Pavilion
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ascaad2021_083
id	ascaad2021_083
authors	El-Dabaa, Rana; Islam Salem, Sherif Abdelmohsen
year	2021
title	Digitally Encoded Wood: 4D Printing of Hygroscopic Actuators for Architectural Responsive Skins
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. 241-252
summary	This paper exploits passive responsive actuators as a passive approach for adaptive façades. The study encodes the embedded hygroscopic parameters of wood through 4D printing of laminated wooden composites as a responsive wooden actuator. Several experiments focus on controlling the printed hygroscopic parameters based on the effect of 3D printing patterns and infill height on the wooden angle of curvature. We present a set of controlled printed hygroscopic parameters that stretch the limits in controlling the response of wood to humidity instead of the typical natural properties of wood. The results show a passive programmed self-actuated mechanism that can enhance responsive façade design with zero energy consumption through utilizing both material science and additive manufacturing mechanisms. This passive responsive mechanism can be utilized in adaptive facades for dynamic shading configurations.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ascaad2021_028
id	ascaad2021_028
authors	Fahmy, Marwa
year	2021
title	Applying Urban Parametricism in the Design of Dynamic Neighborhoods
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. 646-660
summary	Neighborhoods are considered basic spatial units of an urban area. Their forms have complex and hierarchical structures that contain building layouts, street segments, street networks and etc.. The traditional ways of computationally producing neighborhoods have proven incompetence. Some of these conventional ways focus on the morphological approaches, but they do not include all urban features. Meanwhile, other models that can design urban features have limited formulation flexibility. Besides the absence of dynamic generation behavior as they don’t use parametric techniques. They lack interactivity with the surroundings as they don’t use streets as the main generator of neighborhoods. Additionally, they don’t have the ability of automatically analyzing the site. Other models are generated for a specific location and miss the interactivity with other sites. This study implements parametric techniques to generate an urban model with wide design varieties. Furthermore, the model has dynamic morphological behavior, capable of interacting with the designer's modifications. This study focuses on the streets and grid as the dominant element of neighborhoods. The study also presents a predefined function in the scripting process. The model also proposes a python switcher to allow easy accessing all the inputs. Also, the research converts the elements to be more interactive, responsive, flexible, and dynamic. Therefore, all the neighborhood elements are simultaneously created according to user requirements. The study method is divided into three stages: Decomposition, Formulation, Modeling, and evaluation. Each process is defined with its tools, inputs, and parameters.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	caadria2021_085
id	caadria2021_085
authors	FÃ¶rster, Nick, Bratoev, Ivan, Fellner, Jakob, Schubert, Gerhard and Petzold, Frank
year	2021
title	Designing Crowd Safety - Agent-Based Pedestrian Simulations in the Early,Collaborative Design Stages
doi	https://doi.org/10.52842/conf.caadria.2021.2.729
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. 729-738
summary	Contemporary agent-based pedestrian simulations offer great potential to evaluate architectural and urban design proposals in terms of medical risks, crowd safety, and visitor comfort. Nevertheless, due to their relative computational heaviness and complicated input-parameters, pedestrian simulations are not employed during the design process commonly. Simulation results significantly impact planning decisions, especially when they are already available in the early design phases. This paper analyzes the requirements of pedestrian simulations for early planning stages, such as seamless integration into iterative and collaborative design processes, interactivity, and appropriate visualization of results. For this purpose, we combine two existing projects: a high-accuracy pedestrian simulation and the CDP//Collaborative Design Platform. To adapt the simulation method to the requirements of early planning stages, we investigate interactions that blend intuitively with the design process and enable multiple users to interact simultaneously. We simplify simulations input parameters to match the level of detail of the early design phases. The simulation model is adapted to facilitate continuous and spontaneous interactions. Furthermore, we develop visualization techniques to support initial design negotiations and present strategies for compensating computation time and giving constant feedback to a dynamic design process.
keywords	Pedestrian Simulation; Agent-Based Simulation; Early Design Stages; Collaborative Design; Human Computer Interaction
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	acadia21_92
id	acadia21_92
authors	Imai, Nate; Conway, Matthew
year	2021
title	Data Waltz
doi	https://doi.org/10.52842/conf.acadia.2021.092
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. 92-99.
summary	This paper explores the impacts of the Internet of Things (IoT) on the field of interactive architecture and the ways this novel technology enables realignments toward inclusive and critical practices in the design of computational systems across different scales. Specifically, it examines how the integration of IoT in the design of architectural surfaces can encourage interaction between local and remote users and increase accessibility amongst contributors. Beginning with a survey of media facades and the superimposition of architectural surfaces with projected images, the paper outlines a historical relationship between buildings and the public realm through advancements in technology. The paper next reveals ways in which IoT can transform the field of interactive architecture through the documentation and analysis of a project that stages an encounter between local and remote Wikipedia contributors. The installation creates a feedback loop for engaging Wikipedia in real-time, allowing visitors to follow and produce content from their interactions with the gallery’s physical environment. Light, sound, and fabric contextualize the direction and volume of real-time user-generated event data in relation to the gallery’s location, creating an interface that allows participants to dance with dynamic bodies of knowledge. By incorporating IoT with the field of interactive architecture, this project creates a framework for designing computational systems responsive to multiple scales and expanding our understanding of computational publics.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_132
id	caadria2021_132
authors	Nodado, Cheska Daclag, Yogiaman, Christine and Tracy, Kenneth
year	2021
title	Towards Wind-Induced Architectural Systematization - Demonstrating the Collective Behaviour of Urban Blocks as a Design Asset
doi	https://doi.org/10.52842/conf.caadria.2021.2.447
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. 447-456
summary	This paper presents the premise of collective behaviour of singular units as a design asset in an urban environment. The collaborative effect of building shapes, surface texture and the order of buildings on wind patterns in the urban were explored and analysed. The results revealed that these three factors are imperative to effectively design airflow and air velocity to create cooling effects in warm urban environments. This study intends to solve the problem of compact building blocks which create stagnant air in outdoor urban spaces that worsens outdoor urban thermal comfort. As the study involves a large scale urban area which requires tremendous simulation time, this paper would also demonstrate an attempt for an alternative workflow in studying computational fluid dynamic (CFD) through utilizing Houdini, which is an animation software to predict wind flow patterns in an urban context in a faster way which is highly beneficial for conceptual design stage. The paper explains the setup of Houdini working interface which enables the researcher to compare simulation results of varying models with ease via the switch button, and further improve simulation speed by disabling the need of remeshing the original model.
keywords	collaborative behaviour; urban blocks; wind pattern; computational fluid dynamics (CFD)
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2021_330
id	ecaade2021_330
authors	Vazquez, Elena, Evrim, Berfin and Duarte, Jose
year	2021
title	Towards a Digital Workflow for Designing Bistable Kinetic Façades
doi	https://doi.org/10.52842/conf.ecaade.2021.1.365
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. 365-372
summary	New engineered materials present an excellent opportunity for architects and researchers to reimagine traditionally static building components as dynamic and shape-changing. Bistable materials show two zero energy states and can transition between them with the input of a small force. These engineered materials have yet to be explored for large-scale architectural applications. This study presents a digital workflow for designing a kinetic shading system for facades with bistable laminates. The workflow includes an FEA model that predicts the curved shape of bistable laminates and a digital simulation model that predicts the natural light performance of the resulting kinetic screens. We describe the workflow and demonstrate its use with a case study of a manually operated bistable facade. The study forms part of a larger research agenda to develop kinetic architectural systems using bistable and smart materials.
keywords	Compliant mechanisms; bistable laminates; kinetic facades; snap-through; dynamic shadings; carbon fiber laminates
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ascaad2021_053
id	ascaad2021_053
authors	Vegas, Gonzalo; Francisco Calvo, Marcelo Bernal
year	2021
title	Dynamic Aggregation: Merging Aggregation and Particle-Spring Systems in a Form-Finding Approach
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. 661-671
summary	We present the Dynamic Aggregation model: a form-finding tool to generate volumes with an active interior from a set of surfaces. We offer a novel approach to form-finding by combining two models: Particle-Spring Systems and Discrete Aggregation. Dynamic Aggregation allows the designer to generate emergent results while granting real-time control of the general topology in an interactive physics system. To do so, we built our model from a graph structure composed of Nodes and Links with a local notion of orientation. It allows the model to aggregate, bifurcate, link, and unlink continuously, starting from an initial Node configuration until reaching a target surface, while keeping the Node organization in the process. We test the model in two abstract scenarios and three architectural typologies with distinct topological and geometric features to display differentiation, adaptation, and control capabilities.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	sigradi2021_287
id	sigradi2021_287
authors	Zauk, Fernando, Luz, Louise, Pires, Janice and Silva, Adriane Borda Almeida da
year	2021
title	(Parametric) Cinematography of Kogan’s Architecture: A Learning Object
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. 713–724
summary	This study describes the development of a learning object to introduce parametric design techniques together with design action. It identifies in Kogan's architecture appropriate design strategies to configure parametric exercises, such as controlling the types of dynamic textures derived from the effects of light and shadows produced by cobogós. An exercise that considers time and movement, references associated with the architect's cinematographic practices. To develop the object, we started with the interpretation of the knowledge structures involved: from knowledge itself (theories and technologies that identify connections between architecture, cinema, and the concept of parametry) to know-how (a visual programming capable of instrumentalizing for the referred control, by means of parametric design techniques). It was about making available and experiencing this structure, in a teaching/learning process, interpreted as a game that allows us to highlight Kogan's purposes in promoting multisensory experiences with the space of architecture.
keywords	representaçao, projeto, Marcio Kogan, cobogó, objeto de aprendizagem, desenho paramétrico
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_001
id	caadria2021_001
authors	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.)
year	2021
title	CAADRIA 2021: Projections, Volume 2
doi	https://doi.org/10.52842/conf.caadria.2021.2
source	PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, 764 p.
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

_id	caadria2021_000
id	caadria2021_000
authors	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.)
year	2021
title	CAADRIA 2021: Projections, Volume 1
doi	https://doi.org/10.52842/conf.caadria.2021.1
source	PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, 768 p.
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

_id	ijac202119404
id	ijac202119404
authors	Ghandi, Mona; Blaisdell, Marcus; Ismail, Mohamed
year	2021
title	Embodied empathy: Using affective computing to incarnate human emotion and cognition in architecture
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 4, 532–552
summary	This research aims to develop a cyber-physical adaptive architectural space capable of real-time responses topeople’s emotions, based on biological and neurological data. To achieve this goal, we integrated artificialintelligence (AI), wearable technology, sensory environments, and adaptive architecture to create anemotional bond between a space and its occupants and encourage affective emotional interactions betweenthe two. The project’s objectives were to (1) measure and analyze biological and neurological data to detectemotions, (2) map and illustrate that emotional data, and (3) link occupants’emotions and cognition to a builtenvironment through a real-time emotive feedback loop. Using an interactive installation as a case study, thiswork examines the cognition-emotion-space interaction through changes in volume, color, and light as ameans of emotional expression. It contributes to the current theory and practice of cyber-physical design andthe role AI plays, as well as the interaction of technology and empathy.
keywords	Places and awareness, artificial intelligence and machine learning in design, intelligent responsive spaces,affective computing in architecture, cognition-emotion-space interaction, embodied empathy, neuromorphicdesign, cyber-physical neurospaces
series	journal
email
last changed	2024/04/17 14:29

_id	sigradi2021_97
id	sigradi2021_97
authors	Pires, Júlio César Pinheiro, Avalone Neto, Olavo and Cenci, Laline Elisângela
year	2021
title	Color Selection System Based on Linear Regression and ANN
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. 327–338
summary	Color selection is one of several abilities necessary for architectural design. This study presents a web-based JavaScript application capable of foreseeing a color scheme combination that matches a client’s choice pattern based on previous choices made by them. It uses linear regression and Adapted Artificial Neural Network (ANN) for color and shade selection. First, it estimates users’ choice patterns through least mean squares and applies that in the generation of other patterns. It then considers the least square means through a weight factor for the training stage. This study presents the validation of the first process and the correlation between the application’s estimated results and users’ color match expectations. 81.9% of participants found estimated responses to be similar or very similar to the choices they would make; 88% found usage intuitive or very intuitive, and 88.6% agrees the application has some utility to their professional life.
keywords	Cores, regressao linear, sistema de informaçao, análise estatística, moodboard.
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	acadia21_170
id	acadia21_170
authors	Xydis, Achilleas; Perraudin, Nathanaël; Rust, Romana; Lytle, Beverly Ann; Gramazio, Fabio; Kohler, Matthias
year	2021
title	Data-Driven Acoustic Design of Diffuse Soundfields
doi	https://doi.org/10.52842/conf.acadia.2021.170
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. 170-181.
summary	The paper demonstrates a novel approach to performance-driven acoustic design of architectural diffusive surfaces. It uses unsupervised machine learning techniques to analyze and explore the GIR Dataset, an extensive collection of real impulse responses and acoustically diffusive surfaces. The presented approach enables designers to explore many alternative acoustically-informed material patterns with various diffusive properties without requiring expert knowledge in acoustics. The paper introduces the computational pipeline, describes the used methods, and presents two use-cases in the form of design experiments. Finally, the paper discusses the challenges of developing such a method, its advantages, limitations, and future work.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_225
id	ecaade2021_225
authors	Anishchenko, Maria and Paoletti, Ingrid
year	2021
title	Yarn-Level Modeling of Non-Uniform Knitted Fabric for Digital Analysis of Textile Characteristics - From a bitmap to the yarn-level model
doi	https://doi.org/10.52842/conf.ecaade.2021.1.253
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. 253-262
summary	Modern CNC weft knitting machines are capable to produce textiles with complex non-uniform structures and shapes in a single operation with minimum human intervention. The type of knit structure and the settings of the knitting machine significantly influence the fabric characteristics and its role in architectural comfort. However, there is still no open-access tool for fast and efficient analysis of textiles with consideration of their knit structure, especially if they are knitted non-uniformly. Moreover, the existing methodologies of digital modeling of the knit structure are not linked to the actual production of textiles on flat-bed knitting machines. This paper presents a tool that "reads" a bitmap image that can be as well imported into a knitting machine software and generates a yarn-level geometry of the knitted textiles, that can be further integrated into the behavior analysis software within the rhino-grasshopper environment. This methodology helps to preview and analyze knitted textiles before production and can help to optimize the programming of bespoke knitted textiles for large-scale architectural applications.
keywords	knitting; computational knitting; digital simulation; textile characteristics; textiles for architecture
series	eCAADe
email
last changed	2022/06/07 07:54

_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	ecaade2021_222
id	ecaade2021_222
authors	Azambuja Varela, Pedro, Sousa, José Pedro and Silva Dias, Joana
year	2021
title	Drawing-to-Factory Process - Using freehand drawing to drive robotic assembly of brick walls
doi	https://doi.org/10.52842/conf.ecaade.2021.1.189
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. 189-194
summary	The developments of digital technology applied to architecture in the recent decades has allowed for direct communication from the studio to fabrication. However, this process is typically dependent on complicated computational processes, enlarging the distance from the benefits of the traditional drawing approaches employed by architects. This research intends to explore possibilities of reenacting the drawing as a means of computational generative design which feeds automated systems of construction. By using a Cobot directed by an algorithm which reads a simple drawn curve on paper, an automated brick wall is built, as demonstrated in two exhibitions. This mixed approach allows for technology in architectural design and construction to be more accessible to a wider audience, while blurring the boundaries between concept and materialization.
keywords	robotic assembly; human-robot collaboration; non-standard structures; digital fabrication; computational design; interactive fabrication
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2021_110
id	caadria2021_110
authors	Bao, Ding Wen, Yan, Xin, Snooks, Roland and Xie, Yi Min
year	2021
title	SwarmBESO: Multi-agent and evolutionary computational design based on the principles of structural performance
doi	https://doi.org/10.52842/conf.caadria.2021.1.241
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. 241-250
summary	This paper posits a design approach that integrates multi-agent generative algorithms and structural topology optimisation to design intricate, structurally efficient forms. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency. Both multi-agent algorithms and Bi-directional evolutionary structural optimisation (BESO) (Huang and Xie 2010), are emerging techniques that have significant potential in the design of form and structure.This research proposes a structural behaviour feedback loop through encoding BESO structural rules within the logic of multi-agent algorithms. This hybridisation of topology optimisation and swarm intelligence, described here as SwarmBESO, is demonstrated through two simple structural models. The paper concludes by speculating on the potential of this approach for the design of intricate, complex structures and their potential realisation through additive manufacturing.
keywords	Swarm Intelligence; Multi-agent; BESO (bi-directional evolutionary structural optimisation); Intricate Architectural Form; Efficient Structure
series	CAADRIA
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last changed	2022/06/07 07:54

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