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	ecaade2017_124
id	ecaade2017_124
authors	Pantazis, Evangelos and Gerber, David
year	2017
title	Emergent order through swarm fluctuations - A framework for exploring self-organizing structures using swarm robotics
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 75-84
doi	https://doi.org/10.52842/conf.ecaade.2017.1.075
summary	In modern architecture, construction processes are based on top down planning, yet in nature but also in vernacular architecture, the shape of shelters/nests is the result of evolutionary material processes which takes place without any global coordination or plan. This work presents a framework for exploring how self-organizing structures can be achieved in a bottom up fashion by implementing a swarm of simple robots(bristle bots). The robots are used as a hardware platform and operate in a modular 2D arena filled with differently shaped passive building blocks. The robots push around blocks and their behaviour can be programmed mechanically by changing the geometry of their body. Through physical experimentation and video analysis the relationships between the properties of the emergent patterns (size, temporal stability) and the geometry of the robot/parts are studied. This work couples a set of agent based design tools with a robust robotic system and a set of analysis tools for generating and actualising emergent 2D structures.
keywords	Multi Agent Systems; Generative Design; Swarm Robotics; Self-organizing patterns
series	eCAADe
email
last changed	2022/06/07 08:00

_id	cf2017_137
id	cf2017_137
authors	Ensari, Elif; Kobas, Bilge; Sucuo?lu, Can
year	2017
title	Computational Decision Support for an Airport Complex Roof Design: A Case Study of Evolutionary Optimization for Daylight Provision and Overheating Prevention
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 137-149.
summary	This study focuses on generating geometric design alternatives for an airport roof structure with an evolutionary design method based on optimizing solar heat gain and daylight levels. The method incorporates a parametric 3D model of the building, a multi objective genetic algorithm that was linked with the model to iteratively test for various geometric solutions, a custom module that was developed to simulate solar conditions, and external energy simulation environments that was used to validate the outcomes. The integral outcome was achieved through an iterative workflow of many software tools, and the study is significant in dealing with several space typologies at the same time, taking real-life constraints such as applicability, ease of operation, construction loads into consideration, and satisfying design and aesthetic requirements of the architectural design team.
keywords	Evolutionary algorithms, daylight and energy performance, multi-objective optimization
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	sigradi2017_043
id	sigradi2017_043
authors	Griz, Cristiana; Natália Queiroz, Carlos Nome
year	2017
title	Edificação Modular: Estudo de caso e protótipo de um sistema construtivo de código aberto utilizando prototipagem rápida [Modular Building: Case study and prototype of an open source modular system using rapid prototyping]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.293-300
summary	This paper presents the research development for a base structural module for the Casa Nordeste project. Casa Nordeste is a compact housing experiment that will participate in the Solar Decathlon Latin America competition. It consists of a modular building that houses living, cooking, and sanitizing space. Developments presented are based on digital design and fabrication principles and processes, through algorithms that allow its customization. In this sense, discussions begin with a brief theoretical discussion about the concepts that underline the project: evolutionary housing; digital technologies that improve design and construction; open source construction and generative design systems. The paper finalizes by presenting and discussing developments of three different design aspects of the structural module: (a) geometry of the frames, (b) its modulation, and (c) fittings and joining mechanisms.
keywords	Digital fabrication; Rapid prototyping; Visual programming; Compact housing.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2017_002
id	caadria2017_002
authors	Haeusler, M. Hank, Muehlbauer, Manuel, Bohnenberger, Sascha and Burry, Jane
year	2017
title	Furniture Design Using Custom-Optimised Structural Nodes
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 841-850
doi	https://doi.org/10.52842/conf.caadria.2017.841
summary	Additive manufacturing techniques and materials have evolved rapidly during the last decade. Applications in architecture, engineering and construction are getting more attention as 3D printing is trying to find its place in the industry. Due to high material prices for metal 3d printing and in-homogenous material behaviour in printed plastic, 3D printing has not yet had a very significant impact at the scale of buildings. Limitations on scale, cost, and structural performance have also hindered the advancement of the technology and research up to this point. The research presented here takes a case study for the application of 3D printing at a furniture scale based on a novel custom optimisation approach for structural nodes. Through the concentration of non-standard geometry on the highly complex custom optimised nodes, 3D printers at industrial product scale could be used for the additive manufacture of the structural nodes. This research presents a design strategy with a digital process chain using parametric modeling, virtual prototyping, structural simulation, custom optimisation and additive CAD/CAM for a digital workflow from design to production. Consequently, the digital process chain for the development of structural nodes was closed in a holistic manner at a suitable scale.
keywords	Digital fabrication; node optimisation; structural performance; 3D printing; carbon fibre.
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2017_163
id	caadria2017_163
authors	Kalantari, Saleh and Saleh Tabari, Mohammad Hassan
year	2017
title	GrowMorph: Bacteria Growth Algorithm and Design
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 479-487
doi	https://doi.org/10.52842/conf.caadria.2017.479
summary	GrowMorph is an ongoing research project that addresses the logic of bacterial cellular growth and its potential uses in architecture and design. While natural forms have always been an inspiration for human creativity, contemporary technology and scientific knowledge can allow us to advance the principle of biomimesis in striking new directions. By examining various patterns of bacterial growth, including their parametric logic, their use of responsive membranes and scaffolding structures, and their environmental fitness, this research creates new algorithmic design and construction models that can be applied through digital fabrication. Based on data from confocal microscopy, simulations were created using programming language Processing to model the environmental responses and morphology of the bacteria's growth. To demonstrate the utility of the results, the simulations created in this research were used to design an organically shaped pavilion and to suggest a new digital knitting process for material construction. The results from the study can inspire designers to make use of bacterial growth logic in their work, and provide them with practical tools for this purpose. Potential applications include novel designs for responsive surfaces, new fabrication processes, and unique spatial structures in future architectural work.
keywords	Synthetic Biology; Architecture; Bio-fabrication; Bio-constructs; Design Computation
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_144
id	ecaade2017_144
authors	Lange, Christian J.
year	2017
title	Elements \| robotic interventions II
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 671-678
doi	https://doi.org/10.52842/conf.ecaade.2017.1.671
summary	Reviewing the current research trends in robotic fabrication around the world, the trajectory promises new opportunities for innovation in Architecture and the possible redefinition of the role of the Architect in the industry itself. New entrepreneurial, innovative start-ups are popping up everywhere challenging the traditional model of the architect. However, it also poses new questions and challenges in the education of the architect today. What are the appropriate pedagogical methods to instill enthusiasm for new technologies, materials, and craft? How do we avoid the pure application of pre-set tools, such as the use of the laser cutter has become, which in many schools around the world has caused problems rather than solving problems? How do we teach students to invent their tools especially in a society that doesn't have a strong background in the making? The primary focus of this paper is on how architectural CAAD/ CAM education through the use of robotic fabrication can enhance student's understanding, passion and knowledge of materiality, technology, and craftsmanship. The paper is based on the pedagogical set-up and method of an M. Arch I studio that was taught by the author in fall 2016 with the focus on robotic fabrication, materiality, traditional timber construction systems, tool design and digital and physical craftsmanship.
keywords	CAAD Education, Digital Technology, Craftsmanship, Material Studies, Tool Design, Parametric Modeling, Robotic Fabrication
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2017_105
id	ecaade2017_105
authors	Miodragovic Vella, Irina and Kotnik, Toni
year	2017
title	Stereotomy, an Early Example of a Material System
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 251-258
doi	https://doi.org/10.52842/conf.ecaade.2017.2.251
summary	Stereotomy originated as a technique that accumulated theoretical and practical knowledge on stone material properties and construction. At its peak in the nineteenth century, by pushing the structure and construction limits, it gained the ability of using "the weight of the stone against itself by making it hover in space through the very weight that should make it fall down" (Perrault 1964, cited Etelin, 2012). The modern architectural tectonics, based on structural comprehension in architecture, found no value in stereotomy beyond its early, Gothic period. Similarly, digital architectural theory recognized in Gothic the early examples of a material systems. This paper reassesses stereotomy at its fundamental levels, as a material system based on generative processes that assimilate structure and construction through parameterization. In this way, a theoretical framework is established that exposes stereotomy's intrinsic potentials: the continuity of historic and contemporary examples, overlaps between current research endeavours, and its genuine relevance for contemporary digital architecture.
keywords	stereotomy, material system, Abeille vault, parametric design
series	eCAADe
email
last changed	2022/06/07 07:58

_id	caadria2017_134
id	caadria2017_134
authors	Schwartz, Mathew and Zarzycki, Andrzej
year	2017
title	Efficacy of Localization Through Magnets Embedded in Infrastructure
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 735-744
doi	https://doi.org/10.52842/conf.caadria.2017.735
summary	This paper investigates localization and guidance systems as important future considerations for autonomous mobility within the built environment. Specifically, it looks at embedding magnets within building construction assemblies, using magnetic sensors for autonomous navigation, and understanding the impact construction materials may have on magnetic-field-based localization and guidance systems of autonomous agents.
keywords	Autonomous Car; Localization; Infrastructure; Robotics
series	CAADRIA
email
last changed	2022/06/07 07:57

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
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	acadia17_582
id	acadia17_582
authors	Staback, Danniely; Nguy?n, M?Dung; Addison, James; Angles, Zachary; Karsan, Zain; Tibbits, Skylar
year	2017
title	Aerial Pop-Up Structures
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 582- 589
doi	https://doi.org/10.52842/conf.acadia.2017.582
summary	Research into self-assembly systems has been growing in recent years, focusing on the design and engineering of materials to react to environmental factors, which trigger a chain of reactions promoting the components to build themselves. This paper attempts to expand this field with the design and testing of a full-scale structure that could be dropped high above the ground, self-assemble in the air in a matter of seconds, and form an inhabitable space on the ground. This system uses spline-based fiberglass rods, folded in specific configurations and connected with parachute surfaces as the main material system, enabling the global aerial performance. A series of drop tests were conducted from a 100? crane to investigate the unfolding sequence, the release mechanisms, and the parachute configurations, leading to its successful aerial assembly.
keywords	paper material and construction; physics; smart materials; smart assembly; construction; form finding
series	ACADIA
email
last changed	2022/06/07 07:56

_id	caadria2017_009
id	caadria2017_009
authors	Yang, Xuyou, Koh, Shawn Jyh Shen, Loh, Paul and Leggett, David
year	2017
title	Robotic Variable Fabric Formwork
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 873-882
doi	https://doi.org/10.52842/conf.caadria.2017.873
summary	Casting is one of the most widely used construction techniques. Complex geometries produced via computational design processes are not easily achievable through traditional rigid formwork and are subject to increase material waste. More suitable casting techniques are required to efficiently represent digital design output. This paper presents a variable fabric formwork developed to work in conjunction with a 6-axis robotic arm for casting doubly curved panels based on hyperbolic paraboloid geometry. The variable formwork is designed to be extendable in length and width so it is able to produce a wide range of outcome within a single formwork. The interface established in the workflow allows the physical formwork and digital design to influence each other. This variable fabric formwork reduces construction waste and is a more sustainable method of casting complex geometries.
keywords	Digital fabrication; Robotic production; fabric casting
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2017_208
id	ecaade2017_208
authors	Beaudry Marchand, Emmanuel, Han, Xueying and Dorta, Tomás
year	2017
title	Immersive retrospection by video-photogrammetry - UX assessment tool of interactions in museums, a case study
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 729-738
doi	https://doi.org/10.52842/conf.ecaade.2017.2.729
summary	Studying interactions in museums often omits to consider the complexity of the space and the visitors' behaviors. Visitors' walking paths do not provide enough insight of their user experience (UX) since they are distant from the experiential realities. Videogrammetry can convey such dimensions of an environmental experience. Because of limitations of real-time playback, a twofold approach is suggested: "immersive videos" combined with "photogrammetric models". A granular optimal experience assessment method using retrospection interviews is also applied providing a finer evaluation of the perceived experience through time. This method permits to characterize museum interactive installations, according to the perceived challenges and skills of the interaction's task, based this time on immersive retrospection. This paper proposes the "Immersive retrospection" by "Immersive video-photogrammetry" as a UX assessment tool of interactions in museums. A hybrid virtual environment was used in this study, allowing social VR without the use of headsets, through a life-sized projection of interactive 3D content. The study showed that Immersive video-photogrammetry facilitates the recall of memories and allows a deepened self-observation analysis.
keywords	immersive retrospection; photogrammetry; videogrammetry; UX assessment; museum environments
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2017_044
id	ecaade2017_044
authors	Fernando, Shayani, Reinhardt, Dagmar and Weir, Simon
year	2017
title	Simulating Self Supporting Structures - A Comparison study of Interlocking Wave Jointed Geometry using Finite Element and Physical Modelling Methods
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 177-184
doi	https://doi.org/10.52842/conf.ecaade.2017.2.177
summary	Self-supporting modular block systems of stone or masonry architecture are amongst ancient building techniques that survived unchanged for centuries. The control over geometry and structural performance of arches, domes and vaults continues to be exemplary and structural integrity is analysed through analogue and virtual simulation methods. With the advancement of computational tools and software development, finite and discrete element modeling have become efficient practices for analysing aspects for economy, tolerances and safety of stone masonry structures. This paper compares methods of structural simulation and analysis of an arch based on an interlocking wave joint assembly. As an extension of standard planar brick or stone modules, two specific geometry variations of catenary and sinusoidal curvature are investigated and simulated in a comparison of physical compression tests and finite element analysis methods. This is in order to test the stress performance and resilience provided by three-dimensional joints respectively through their capacity to resist vertical compression, as well as torsion and shear forces. The research reports on the threshold for maximum sinusoidal curvature evidenced by structural failure in physical modelling methods and finite element analysis.
keywords	Mortar-less; Interlocking; Structures; Finite Element Modelling; Models
series	eCAADe
email
last changed	2022/06/07 07:50

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia17_18
id	acadia17_18
authors	Abdel-Rahman, Amira; Michalatos, Panagiotis
year	2017
title	Magnetic Morphing
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 18-27
doi	https://doi.org/10.52842/conf.acadia.2017.018
summary	In an attempt to design shape-morphing multifunctional objects, this thesis uses programmable matter to design self-organizing multi-agent systems capable of morphing from one shape into another. The research looks at various precedents of self-assembly and modular robotics to design and prototype passive agents that could be cheaply mass-produced. Intelligence will be embedded into these agents on a material level, designing different local interactions to perform different global goals. The initial exploratory study looks at various examples from nature like plankton and molecules. Magnetic actuation is chosen as the external actuation force between agents. The research uses simultaneous digital and physical investigations to understand and design the interactions between agents. The project offers a systemic investigation of the effect of shape, interparticle forces, and surface friction on the packing and reconfiguration of granular systems. The ability to change the system state from a gaseous, liquid, then solid state offers new possibilities in the field of material computation, where one can design a "material" and change its properties on demand.
keywords	material and construction; construction/robotics; smart materials; smart assembly/construction; simulation & optimization
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_38
id	acadia17_38
authors	Ahlquist, Sean; McGee, Wes; Sharmin, Shahida
year	2017
title	PneumaKnit: Actuated Architectures Through Wale- and Course-Wise Tubular Knit-Constrained Pneumatic Systems
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 38-51
doi	https://doi.org/10.52842/conf.acadia.2017.038
summary	This research explores the development of seamless pneumatically actuated systems whose motion is controlled by the combination of differentially knitted textiles and standardized thin-walled silicone tubing. This work proposes a fundamental material strategy that addresses challenges ranging from soft robotics to pneumatic architecture. Research in soft robotics seeks to achieve complex motions through non-mechanical monolithic systems, comprised of highly articulated shapes molded with a combination of elastic and inelastic materials. Inflatables in architecture focus largely on the active structuring of static forms, as facade systems or as structured envelopes. An emerging use of pneumatic architecture proposes morphable, adaptive systems accomplished through differentiated mechanically interconnected components. In the research described in this paper, a wide array of capabilities in motion and geometric articulation are accomplished through the design of knitted sleeves that generate a series of actuated “elbows.” As opposed to molding silicone bladders, differentiation in motion is generated through the more facile ability of changing stitch structure, and shaping of the knitted textile sleeve, which constrains the standard silicone tubing. The relationship between knit differentiation, pneumatic pressure, and the resultant motion profile is studied initially with individual actuators, and ultimately in propositions for larger seamless assemblies. As opposed to a cellular study of individual components, this research proposes structures with multi-scalar articulation, from fiber and stitch to overall form, composed into seamless, massively deformable architectures.
keywords	material and construction; fabrication; construction/robotics
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_92
id	acadia17_92
authors	Anzalone, Phillip; Bayard, Stephanie; Steenblik, Ralph S.
year	2017
title	Rapidly Deployed and Assembled Tensegrity System: An Augmented Design Approach
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 92-101
doi	https://doi.org/10.52842/conf.acadia.2017.092
summary	The Rapidly Deployable and Assembled Tensegrity (RDAT) project enables the efficient automated design and deployment of differential-geometry tensegrity structures through computation-driven design-to-installation workflow. RDAT employs the integration of parametric and solid-modeling methods with production by streamlining computer numerically controlled manufacturing through novel detailing and production techniques to develop an efficient manufacturing and assembly system. The RDAT project emerges from the Authors' research in academia and professional practice focusing on computationally produced full-scale performative building systems and their innovative uses in the building and construction industry.
keywords	design methods; information processing; AI; machine learning; form finding; VR; AR; mixed reality
series	ACADIA
email
last changed	2022/06/07 07:54

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

_id	acadia17_164
id	acadia17_164
authors	Brugnaro, Giulio; Hanna, Sean
year	2017
title	Adaptive Robotic Training Methods for Subtractive Manufacturing
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 164-169
doi	https://doi.org/10.52842/conf.acadia.2017.164
summary	This paper presents the initial developments of a method to train an adaptive robotic system for subtractive manufacturing with timber, based on sensor feedback, machine-learning procedures and material explorations. The methods were evaluated in a series of tests where the trained networks were successfully used to predict fabrication parameters for simple cutting operations with chisels and gouges. The results suggest potential benefits for non-standard fabrication methods and a more effective use of material affordances.
keywords	design methods; information processing; construction; robotics; ai & machine learning; digital craft; manual craft
series	ACADIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_244
id	ecaade2017_244
authors	Chaltiel, Stephanie, Bravo, Maite and Chronis, Angelos
year	2017
title	Digital fabrication with Virtual and Augmented Reality for Monolithic Shells
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 211-218
doi	https://doi.org/10.52842/conf.ecaade.2017.2.211
summary	The digital fabrication of monolithic shell structures is presenting some challenges related to the interface between computational design and fabrication techniques, such as the methods chosen for the suitable parametrization of the geometry based on materiality characteristics and construction constrains, the digital optimization criteria of variables, and the translation of the relevant code used for digital fabrication. Specifically, the translation from the digital to the physical when a definite materiality appears during the digital fabrication process proves to be a crucial step, which is typically approached as a linear and predetermined sequence. This often-difficult step offers the potential of embedding a certain level of interactivity between the fabricator and the materialized model during the fabrication process in order to allow for real time adjustments or corrections. This paper features monolithic shell construction processes that promote a simple interface of live interaction between the fabricator and the tool control during the digital fabrication process. The implementation of novel digital and physical methods will be explored, offering the possibility of being combined with automated fabrication actions controlled by real time inputs with virtual reality [VR] influenced by 3d scanning and 3d CAD programs, and the possibility of incorporating augmented reality [AR].
keywords	virtual reality; augmented reality; monolithic shells
series	eCAADe
email
last changed	2022/06/07 07:55

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