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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Reformat results as: short short into frame detailed detailed into frame

_id	acadia18_312
id	acadia18_312
authors	Ariza, Inés; Mirjan, Ammar; Gandia, Augusto; Casas, Gonzalo; Cros, Samuel; Gramazio, Fabio; Kohler, Matthias.
year	2018
title	In Place Detailing. Combining 3D printing and robotic assembly
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 312-321
doi	https://doi.org/10.52842/conf.acadia.2018.312
summary	This research presents a novel construction method that links robotic assembly and in place 3D printing. Rather than producing custom joints in a separate prefabrication process, our approach enables creating highly customized connection details that are 3D printed directly onto off-the-shelf building members during their assembly process. Challenging the current fashion of highly predetermined joints in digital construction, detailing in place offers an adaptive fabrication method, enabling the expressive tailoring of connection details addressing its specific architectural conditions. In the present research, the in place detailing strategy is explored through robotic wire arc additive manufacturing (WAAM), a metal 3D printing technique based on MIG welding. The robotic WAAM process coupled with localization and path-planning strategies allows a local control of the detail geometry enabling the fabrication of customized welded connections that can compensate material and construction tolerances. The paper outlines the potential of 3D printing in place details, describes methods and techniques to realize them and shows experimental results that validate the approach.
keywords	work in progress, fabrication & robotics, robotic production, materials/adaptive systems, architectural detailing
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	sigradi2018_1302
id	sigradi2018_1302
authors	Côco Júnior, Verley Henry; Celani, Gabriela
year	2018
title	From the automated generation of layouts to fabrication with the use of BIM: a new agenda for Architecture in the 21st century
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 23-30
summary	Scripting, BIM and Digital Fabrication are already recognized as important skills in education and practice in Architecture in the 21st century. However, they are not always applied together to generate innovative results for the industry. This paper starts from the observation of the difficulty that prefabricated bathroom factories have in meeting a demand for mass customization and proposes a workflow that goes from the generation of layouts to modeling in BIM and the automated production of documents for manufacturing. The preliminary results demonstrate the possibility of changing the mass production culture of an industry, by means of applying the proposed workflow.
keywords	Building Information Modeling; Process algorithm; Automation; Modular bathrooms; Prefabrication
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2018_287
id	caadria2018_287
authors	Herr, Christiane M., Lombardi, Davide and Galobardes, Isaac
year	2018
title	Parametric Design of Sculptural Fibre Reinforced Concrete Facade Components
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 319-328
doi	https://doi.org/10.52842/conf.caadria.2018.2.319
summary	This paper presents the first stage of a study examining the digital design and fabrication of a parametrically defined sculptural concrete façade element employing fibre reinforced concrete. On the background of a literature review of related precedent studies, the paper extends the scope of previous studies by offering a detailed insight into the process of integrating architectural considerations with material properties of fibre reinforced concrete, detailed structural analysis and construction constraints. The paper offers technical details with a focus on material to similar on-going studies.
keywords	parametric design; digital fabrication; digital prototyping; fibre reinforced concrete; prefabrication
series	CAADRIA
email
last changed	2022/06/07 07:51

_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	acadia18_434
id	acadia18_434
authors	Meibodi, Mania Aghaei ; Jipa, Andrei; Giesecke, Rena; Shammas, Demetris; Bernhard, Mathias; Leschok, Matthias; Graser, Konrad; Dillenburger, Benjamin
year	2018
title	Smart Slab. Computational design and digital fabrication of a lightweight concrete slab
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 434-443
doi	https://doi.org/10.52842/conf.acadia.2018.434
summary	This paper presents a computational design approach and novel digital fabrication method for an optimized lightweight concrete slab using a 3D-printed formwork. Smart Slab is the first concrete slab fabricated with a 3D-printed formwork. It is a lightweight concrete slab, displaying three-dimensional geometric differentiation on multiple scales. The optimization of slab systems can have a large impact on buildings: more compact slabs allow for more usable space within the same building volume, refined structural concepts allow for material reduction, and integrated prefabrication can reduce complexity on the construction site. Among the main challenges is that optimized slab geometries are difficult to fabricate in a conventional way because non-standard formworks are very costly. Novel digital fabrication methods such as additive manufacturing of concrete can provide a solution, but until now the material properties and the surface quality only allow for limited applications. The fabrication approach presented here therefore combines the geometric freedom of 3D binderjet printing of formworks with the structural performance of fiber reinforced concrete. Using 3D printing to fabricate sand formwork for concrete, enables the prefabrication of custom concrete slab elements with complex geometric features with great precision. In addition, space for building systems such as sprinklers and Lighting could be integrated in a compact way. The design of the slab is based on a holistic computational model which allows fast design optimization and adaptation, the integration of the planning of the building systems, and the coordination of the multiple fabrication processes involved with an export of all fabrication data. This paper describes the context, design drivers, and digital design process behind the Smart Slab, and then discusses the digital fabrication system used to produce it, focusing on the 3D-printed formwork. It shows that 3D printing is already an attractive alternative for custom formwork solutions, especially when strategically combined with other CNC fabrication methods. Note that smart slab is under construction and images of finished elements can be integrated within couple of weeks.
keywords	full paper, digital fabrication, computation, generative design, hybrid practices
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	caadria2018_180
id	caadria2018_180
authors	Mekawy, Mohammed and Petzold, Frank
year	2018
title	BIM-Based Model Checking in the Early Design Phases of Precast Concrete Structures
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 71-80
doi	https://doi.org/10.52842/conf.caadria.2018.2.071
summary	Designers often carry out their work in the early design stages with disregard to prefabrication requirements, leading to poorly thought out design decisions in terms of precast concrete planning efficiency. If precast expertise could be integrated early into design schemes, this would improve design efficiency, reduce errors and misalignments, and save time at every design iteration. The objective is not to replace precast domain experts, but to help architects make better-informed design decisions. This research is part of a wider investigation that aims to develop a rule-based expert system to support an automated review of precast concrete requirements in BIM models in the early design stages, proactively providing feedback for design decision support. This specific paper summarizes the theoretical part of the research and proposes a way to formalize precast expert knowledge as rule-sets in a tabular form that can be later programmed and integrated in a BIM platform for automated checking of BIM models.
keywords	Precast Concrete; Rule-based checking; BIM-based model checking; Expert system; Decision tables
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2018_193
id	ecaade2018_193
authors	Ostrowska-Wawryniuk, Karolina and Nazar, Krzysztof
year	2018
title	Generative BIM Automation Strategies for Prefabricated Multi-Family Housing Design
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 247-256
doi	https://doi.org/10.52842/conf.ecaade.2018.1.247
summary	The increasing housing shortage in contemporary Poland calls for efficient ways of design and construction. In the context of time efficiency and shrinking manpower, prefabrication is considered as one of the means of introducing low and middle income housing to the market. The article presents the process of developing an experimental tool for aiding multi-family housing architectural design with the use of prefabrication. We use the potential of BIM technology as a flexible environment for comparing multiple design options and, therefore, supporting the decision-making process. The presented experiment is realized in the Autodesk Revit environment and incorporates custom generative scripts developed in Dynamo-for-Revit and Grasshopper. The prototype tool analyzes an input Revit model and simulates a prefabricated alternative based on the user-specified boundary conditions. We present our approach to the analyzing and the splitting of the input model as well as five different strategies of performing the simulation within the Revit environment.
keywords	Building Information Modeling; generative BIM; residential building design; prefabrication; design automation; Dynamo
series	eCAADe
email
last changed	2022/06/07 08:00

_id	sigradi2018_1322
id	sigradi2018_1322
authors	Pereira Stehling, Miguel; Coeli Ruschel, Regina
year	2018
title	Proposal of a Process of Mass Customization of Kitchen Cabinetry
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 397-407
summary	Digital Fabrication has been widely used for the production of standardized building components, but not so in the engineered-to-order fabrication strategy, a system in which the customer’s needs are fulfilled in the design stage. Mass Customization meets the demands of a customer at a cost near that of Mass Production. This study presents the current stage of an Action Research dealing with Mass Customization, design and BIM adoption challenges, proposing the adoption of BIM aiming Mass Customization at engineered-to-order systems for Small and Medium Enterprises. It uses Web-based User Interface and Revit and Dynamo models exported to Computer Numerical Control machines.
keywords	Mass customization; Engineered-to-order; Digital fabrication; Prefabrication; BIM
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	ecaade2018_402
id	ecaade2018_402
authors	Ron, Gili, Shallaby, Sara and Antonako, Theofano
year	2018
title	On-Site Fabrication and Assembly for Arid Region Settlements
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 801-810
doi	https://doi.org/10.52842/conf.ecaade.2018.1.801
summary	With fast growing population rates and the further desertification of the global climate, desert regions, covering one fifth of the world's surface, provide an opportunity for future habitats. However, their extreme climatic conditions and remoteness pose a planning challenge, currently addressed with prefabrication and layered design; wasteful and costly solutions. This article proposes a bespoke design, fabrication and assembly process: performed in-situ with using local resources and novel automation. The research addresses challenges in on-site robotic forming and assembly of mono-material discrete elements, made in waterless concrete of sand-Sulphur composite. The formed components are examined in formwork-free assembly of wall and arch, with Pick & Place tool-path. The component's design incorporates topological and osteomorphic interlocking, facilitating structural integrity, as well as self-shading and passive cooling, to fit with local climate. This work culminates in a design proposal for constructing desert habitats, climatically adapted for Zagora oasis in the Moroccan Sahara: a remote site of hyper-arid climate.
keywords	Material System; Vernacular Architecture; Digital Morphogenesis; Topological Interlocking; Robotic Fabrication; Robotic Assembly
series	eCAADe
email
last changed	2022/06/07 07:56

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