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	acadia21_28
id	acadia21_28
authors	Tessmer, Lavender; Tibbits, Skylar
year	2021
title	Personalized Knit Masks
doi	https://doi.org/10.52842/conf.acadia.2021.028
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. 28-37.
summary	In this paper we outline a new workflow for textiles customization through the design and fabrication of knit shape-changing masks that contain multi-material fibers to create programmable transformation. We have created a process for producing standardized and scalable textile goods using a flatbed industrial CNC knitting machine which are then "tailored" to an individual's body measurements through a system of programmable textiles, custom multi-material fiber, and robotic heat activation. Hybridizing the efficiency of standardized textile production with unique geometric variation, the proposed strategy centers on the shape-change behavior of fibers and precise knit structures to produce personalized textiles. This work focuses on the face mask as an example of a now-ubiquitous textile good that is often ill fitting and yet can now be highly tailored to an individual’s personal fit and comfort. This paper outlines the materials, knit fabric development, mask design, digital workflow, and fabrication steps for producing truly customized masks for an individual's unique facial geometry.
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	ecaade2021_194
id	ecaade2021_194
authors	Scott, Jane, Gaston, Elizabeth and Agraviador, Armand
year	2021
title	Configured Knitting - Grafting as an assembly process for knitted architecture
doi	https://doi.org/10.52842/conf.ecaade.2021.2.473
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. 473-482
summary	There is a growing interest in knit as a material system for architectural research in a workflow that integrates computation and digital fabrication in the design and specification of highly engineered fabrics. However, the dimensional limitations of industrial machines mean that large scale work may require assembly from multiple pieces. Reconfiguring knitted fabric by joining fabric panels disrupts the performance of the material, challenging the computational model when fabric characteristics are transformed at the seams.The aim of this research is to evaluate the potential for grafting, a traditional joining method for knitted fabric, as an assembly technique for architectural scale knitted prototypes. The paper presents an overview of knitted loop geometry focusing on the impact of loop construction in textile joins. The paper presents experimental research conducted using unconventional off-machine techniques at two scales, demonstrating how grafting can be used to assemble 3D structures without compromising the integrity of the material. Findings highlight the significance of this technique and suggest how the work could translate to digital fabrication.
keywords	Knit; Grafting; Computational Form Generation; Textile Design
series	eCAADe
email
last changed	2022/06/07 07:56

_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	caadria2021_399
id	caadria2021_399
authors	Alsalman, Osama, Erhan, Halil, Haas, Alyssa, Abuzuraiq, Ahmed M. and Zarei, Maryam
year	2021
title	Design Analytics and Data-Driven Collaboration in Evaluating Alternatives
doi	https://doi.org/10.52842/conf.caadria.2021.2.101
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. 101-110
summary	Evaluation of design ideas is an important task throughout the life cycle of design development in the AEC industry. It involves multiple stakeholders with diverse backgrounds and interests. However, there is limited computational support which through this collaboration is facilitated, in particular for projects that are complex. Current systems are either highly specialized for designers or configured for a particular purpose or design workflow overlooking other stakeholders' needs. We present our approach to motivating participatory and collaborative design decision-making on alternative solutions as early as possible in the design process. The main principle motivating our approach is giving the stakeholders the control over customizing the data presentation interfaces. We introduce our prototype system D-ART as a collection of customizable web interfaces supporting design data form and performance presentation, feedback input, design solutions comparisons, and feedback compiling and presentation. Finally, we started the evaluation of these interfaces through an expert evaluation process which generally reported positive results. Although the results are not conclusive, they hint towards the need for presenting and compiling feedback back to the designers which will be the main point of our future work.
keywords	Design Analytics; Collaboration; Visualizations
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	cdrf2021_92
id	cdrf2021_92
authors	Ana Zimbarg
year	2021
title	Bio-Design Intelligence
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_9
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Architecture has a substantial influence worldwide as it shapes our cities, and it is made to last. Urban areas are also responsible for 70% of the world’s carbon emissions. Consequently, architects are responsible for minimising the destructive effects of construction on the environment. How can biological intelligence be inserted in architecture as a possibility to increase environmental performance? Bio-design goes further than biology-inspired approaches. Biodesign refers to incorporating living organisms as an essential component of a system, changing the natural and built environment boundaries. It contains living and machine intelligence, whether embedded in the design process or in the building itself. This paper seeks to give an overview of bio-design and how it can be seen as a strategy of thinking of new research pathways.
series	cdrf
email
last changed	2022/09/29 07:53

_id	ascaad2021_074
id	ascaad2021_074
authors	Belkaid, Alia; Abdelkader Ben Saci, Ines Hassoumi
year	2021
title	Human-Computer Interaction for Urban Rules Optimization
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. 603-613
summary	Faced with the complexity of manual and intuitive management of urban rules in architectural and urban design, this paper offers a collaborative and digital human-computer approach. It aims to have an Authorized Bounding Volume (ABV) which uses the best target values of urban rules. It is a distributed constraint optimization problem. The ABV Generative Model uses multi-agent systems. It offers an intelligent system of urban morphology able to transform the urban rules, on a given plot, into a morphological delimitation permitted by the planning regulations of a city. The overall functioning of this system is based on two approaches: construction and supervision. The first is conducted entirely by the machine and the second requires the intervention of the designer to collaborate with the machine. The morphological translation of urban rules is sometimes contradictory and may require additional external relevance to urban rules. Designer arbitration assists the artificial intelligence in accomplishing this task and solving the problem. The Human-Computer collaboration is achieved at the appropriate time and relies on the degree of constraint satisfaction with fitness function. The resolution of the distributed constraint optimization problem is not limited to an automatic generation of urban rules, but involves also the production of multiple optimal-ABV conditioned both by urban constraints as well as relevance, chosen by the designer.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	caadria2021_368
id	caadria2021_368
authors	Cheng, Fang-Che, Yen, Chia-Ching and Jeng, Tay-Sheng
year	2021
title	Object Recognition and User Interface Design for Vision-based Autonomous Robotic Grasping Point Determination
doi	https://doi.org/10.52842/conf.caadria.2021.1.633
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. 633-642
summary	The integration of Robot Operating System (ROS) with Human-Machine Collaboration (HMC) currently represents the future tendency toward Autonomous Robotic In-Situ Assembly on Construction Sites. In comparison with the industrial environment, construction sites nowadays are extremely complex and unpredictable, due to the different building components and customized design.This paper presents a visual-based object recognition method and user interface enabling on-site robot arms to autonomously handle building components, to build specific designs without the influence of material, shape, and environment. The implementation is an object recognition approach that serves with KUKA industrial robotic manipulator along with an RGB-depth stereo camera in an eye-in-hand configuration to grasp and manipulate found elements to build the desired structure. Opportunities for using vision-based autonomous robotic in-situ assembly on construction sites are reviewed.
keywords	computer vision; robot operating system; object recognition; pose estimate; grasping point determination; human-robot collaboration
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ijac202119102
id	ijac202119102
authors	Doe, Robert Melvin
year	2021
title	An open, integrated modular format: For flexible and intelligible architecture, engineering and construction design and production
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 23–36
summary	The architecture, engineering and construction sector is fragmented, and its computer-aided design systems suffer data loss and errors in workflow between design and realisation. An open source, integrated, modular format is proposed to address the technological nature of these problems. Accordingly, this research updates the notion of the modular format as a more flexible and intelligible computational design method by leveraging knowledge from the computer science and manufacturing sectors where the design and realisation process is intentional and explicit. The research design of this article comprises a theoretical approach combined with an empirical case study. Principles of modularity are extracted from the computer science and manufacturing sectors to assist with a better definition of architecture, engineering and construction computer-aided design processes that use materials and resources more efficiently and sustainably. The methodology of the modular format contributes to the emerging concept of a building lifecycle management system for the architecture, engineering and construction sector.
keywords	Modular format, open source, integrated, computational design, building lifecycle management
series	journal
email
last changed	2021/06/03 23:29

_id	caadria2021_118
id	caadria2021_118
authors	Huang, Chien-hua
year	2021
title	Reinforcement Learning for Architectural Design-Build - Opportunity of Machine Learning in a Material-informed Circular Design Strategy
doi	https://doi.org/10.52842/conf.caadria.2021.1.171
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. 171-180
summary	This paper discusses the potentials of reinforcement learning in game engine for design, implementation, and construction of architecture. It inaugurates a new design tool that promotes a material-informed design-build workflow for architectural design and construction industries that achieves a comprehensive circular economy. As a proof of concept, it uses the project Reform Standard, a machine-learning-based searching system that designs new shell structures composed of existing wasted materials, as a demonstration to discuss how reinforcement learning, machine vision and automated searching algorithm in the game engine can promote a material-aware design and converts wastes into construction materials. The demonstrator project sorts and transforms irregular chunks of wasted broken plastics into a new form. Instead of recycling those wastes in an energy-intensive process, the game engine is capable of finding the intricacy and new machine-oriented aesthetics in those otherwise neglected wastes. Furthermore, future research directions such as robotic-aided construction are discussed by exposing the potentials and problems in the demonstrated project. Finally, the future circular strategy is discussed beyond the demonstrated tests and local uses. The standardization of material, legislation and material lifecycle needs to be comprehensively considered and designed by architects and designers during conceptual design phase.
keywords	Reinforcement Learning; ML-Agents; Unity3D; circular design; geometric analysis
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2021_157
id	caadria2021_157
authors	Huang, Xiaoran, Kimm, Geoff and Burry, Mark
year	2021
title	Exploiting game development environments for responsive urban design by non-programmers - melding real-time ABM pedestrian simulation and form modelling in Unity 3D
doi	https://doi.org/10.52842/conf.caadria.2021.2.689
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. 689-698
summary	Precinct-level pedestrian simulation often requires moderate to high-level modelling skills with a steep learning curve, and is usually non-flexible, time-consuming and exclusive of the broader public community. Confronting these problems, our research investigates a novel and agile workflow to test precinct pedestrian behaviours by melding agent-based simulation (ABM) and responsive real-time form modelling mechanisms within accessible visualisation of city and precinct environments in a game engine, Unity 3D. We designed an agent system prototype of configurable and interoperable nodes that may be placed in an urban modelling scenario. Realtime CSG, a fast polygon-based modelling plugin, is also introduced to our workflow where users can use the evidence observed when running a scenario to quickly adjust the street morphology and buildings in response. In this process, end users are kept in the design loop and may make critical adjustments, whereby a responsive, collective, informed design agenda for our built environments can inform more detailed outcomes of pedestrian behaviour and action and promote more efficient collaborations for both professionals and local communities.
keywords	Agent-based pedestrian simulation; responsive modelling; computer-aided urban design; public participation
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	acadia21_372
id	acadia21_372
authors	Kang, Donghwi Chris; Hoban, Nicholas; Yablonina, Maria
year	2021
title	Discrete Quasicrystal Assembly
doi	https://doi.org/10.52842/conf.acadia.2021.372
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. 372-379.
summary	The research presented in this paper proposes a bespoke digital machine-material system for architectural assembly. The research aims to contribute to the body of work in digital material systems and single-task construction and fabrication robotics. Specifically, the system proposes a digital material system based on the icosahedral quasicrystals accompanied with a bespoke assembling robot capable of locomotion along the material as well as manipulation of discrete material units. Through a set of locomotion and pick and place routines, the robotic system is capable of construction and reconfiguration of the material system. In proposing a digital machine-material system, the presented research argues for the development of design, fabrication, and robotics strategies wherein hardware, geometry, material, and software are developed in parallel in an interdependent co-design process. Such approach of considering parameters across the spectrum of design tasks allows to develop systems that are well suited for their specified application while maintaining minimum complexity and increasing accessibility of fabrication systems.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ascaad2021_054
id	ascaad2021_054
authors	Kontovourkis, Odysseas; Andreas Konstantinou, Nikos Kyrizi, Panagiota Tziourrou,
year	2021
title	Built-In Immersive VR Technology for Decision-Making in Design and Simulation of a Flexible Shading Device
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. 190-200
summary	This paper discusses the potential offered by Virtual Reality (VR) and accompanied gesture-based devices as tools for architectural design and simulation. This is done by outlining a workflow and by demonstrating an experimental study for the development of an interactive, flexible and parametric shading device consisting of bending-active wooden strips. More specifically, the project focuses on the relationship between physical inputs acquisition and virtual experience of two users in space. Through the use of Kinect and VR headset, the first user is responsible to check and control the shading system regarding the shape and sun direction. The aim is to create configurations that serves his/her shading needs by moving his/her hand in order to hide the sun in a game like procedure until satisfactory shading is acquired. The second user, through the use of a leap motion sensor and a projection screen, is able to check and control the efficiency of structure in terms of bending behavior and environmental impact, also in a loop of possibilities. Using the thump and pointer fingers he/she controls the bending behavior by watching a screen that shows in different colours the bending factor of each element. At the same time, the distance between his/her hands controls the number of elements in order to achieve the optimal rate between material consumption and shading. The two users can intervene sequentially or concurrently during the process. A series of investigations related to shading rate and bending behavior as well as minimum material consumption leading to lower environmental impact are conducted. This attempts to offer useful conclusions as regard the potential application of immersive VR technology as mechanism for decision-making in architecture and simulation but also in the fabrication of the suggested shading device.
series	ASCAAD
email
last changed	2021/08/09 13:11

_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	ascaad2021_095
id	ascaad2021_095
authors	Najafi, Ali; Peiman Pilechiha
year	2021
title	Energy and Daylight Performance Optimization of Butterfly Inspired Intelligent Adaptive Façade
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. 99-112
summary	The Adaptive Solar Façade (ASF) as an integrated dynamic and flexible building facade could be a hopeful design tool to provide residents comfort and energy efficiency by applying relevant integrated parametric design. Based on that, in this study, we investigated a designing process and optimization of ASF concentrating on providing the visual comfort and energy efficiency. We start with an extended summary of previous studies which has been done for developing a dynamic system correspond to origami and butterfly wings. Afterwards, we design 10 movement patterns for façade at the next stage, we simulate the Illuminance uniformity distribution and amount of energy consumption in the interior area. It should be noted that this simulation is done hourly. Therefore, 52 base models were investigated in Hamedan without using intelligent façade. It should be considered that these models are offices and they are investigated in the cold tundra in four days of the year between 6 A.M. to 6 P.M. Afterwards, 520 façade affected proposed models simulated for comparing to the base model. We have done the latter simulation using Colibri plugin while it optimized linearly. All of the datasets have been processed in an algorithm circulation for analyzing the simulations results.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	caadria2021_272
id	caadria2021_272
authors	Naruse, Masashi, Bileguutee, Ulemjjargal and Mizutani, Akihiro
year	2021
title	A study on chair design by interactive three-dimensional modeling using sketching interface
doi	https://doi.org/10.52842/conf.caadria.2021.2.263
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. 263-272
summary	This paper discusses the potential derived by developing a sketching interface to achieve an intuition-oriented design process for beginners, focusing on fabrication. Using experiments and a questionnaire, we evaluate both the method developed and the change in the consciousness of participation in full-scale 3D (Three Dimensional) design. A specific feature of the developed sketching interface is that it is not fully packaged; it means designers can modify and customize a tool to their needs. However, there was no difference between the sketching interface and ordinary 3D CAD (Computer-Aided Design) in increasing the motivation to use computers to fabricate; including a customizable feature (not fully packaged) could open up the possibilities of increasing motivation for the subjects to participate in the fabrication. The experiment results demonstrated that the sketching interface input system has equivalent reproducibility to existing 3D CAD, and even beginners can intuitively and immediately realize fabrication.
keywords	3D CAD; sketching interface; fabrication support; digital fabrication
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_043
id	caadria2021_043
authors	Ng, Provides
year	2021
title	21E8: Coupling Generative Adversarial Neural Networks (GANS) with Blockchain Applications in Building Information Modelling (BIM) Systems
doi	https://doi.org/10.52842/conf.caadria.2021.2.111
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. 111-120
summary	The ability of GANs to synthesize large sets of data is ideal for coupling with BIM to formulate a multi-access system that enables users to search and browse through a spectrum of articulated options, all personalised to design specificity - an 'Architecture Machine'. Nonetheless, due to challenges in proprietary incompatibility, BIM systems currently lack a secured yet transparent way of freely integrating with crowdsourced efforts. This research proposes to employ blockchain as a means to couple GANs and BIM, with e8 networking topology to facilitate communication and distribution. It consists of a literature review and a design research that proposes a tech stack design and UML (unified modeling language) use cases, and presents preliminary design results obtained using GANs and e8.
keywords	21e8; GANs; Blockchain; BIM; Architecture Machine
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_213
id	caadria2021_213
authors	Oghazian, Farzaneh and Vazquez, Elena
year	2021
title	A Multi-Scale Workflow for Designing with New Materials in Architecture: Case Studies across Materials and Scales - Case studies across materials and scales
doi	https://doi.org/10.52842/conf.caadria.2021.1.533
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. 533-542
summary	In this paper, we present a workflow developed for designing with and scaling-up new materials in architecture through an iterative cycle of materialization and testing. The framework establishes a connection between design requirements and form, taking advantage of different scales in new materials known as micro, meso, and macroscale in the process of design/manufacture. Different scales when dealing with material systems-especially in those that possess some level of uncertainty in their behavior from the formation process-make it challenging to deal with the different material variables controlled at each scale. This paper presents a brief review of existing design workflows centered on material properties. We then discuss case studies and argue for a multi-scale approach for design. Finally, we present the workflow. By implementing the workflow on two case studies, we answer how we can include material scales and their embedded properties as the central part of the design/manufacture process to aid in implementing new materials in architecture. The case studies are a responsive skin system and a free-standing tensile structure incorporating 3D printed wood filament and knitted yarn as the primary material.
keywords	material computation; material-based design; wood 3D printing; knitting; multi-scale workflow
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2021_049
id	ecaade2021_049
authors	Oral, Hülya and Çolakoglu, Meryem Birgül
year	2021
title	The reconfiguration of tool parameters in clay extruder
doi	https://doi.org/10.52842/conf.ecaade.2021.2.161
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. 161-170
summary	Reconfigurable manufacturing systems (RMS), which have emerged with mass customization in the industry, allow the tool or system parameters to be adjusted in a controlled manner to produce customized products. Although the reconfigurable manufacturing systems have been applied in building and construction for waste, time, and cost reduction in producing specific mold forms at a prototype level, their utilization in additive manufacturing (extrusion) has not been explored. This paper presents, initial steps of ongoing research on the development of reconfigurable tools and workflow by transforming the tool's rigid parts with controlled parametric movable parts. The clay extruder tool used in crafts is transformed into a reconfigurable extruder tool that allows making customized forms. In the experimental setup, die combinations and tool head rotations are examined with the proposed Extrusion-based Making Grammar (EbMG). Produced forms illustrate the variations of the design space in relation to the rule sets. Here, a rule-based approach is found to be efficient for controlling the making parameters. This study explored the potentials of transforming a rigid craft tool into a customizable tool that allow the generation of product variation. It presents the preliminary stage of transforming craft tools into further digital craft tools.
keywords	Hands-on making; craft; reconfigurable tools; extrusion; tool making
series	eCAADe
email
last changed	2022/06/07 08:00

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