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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Hits 1 to 20 of 431

_id acadia23_v1_166
id acadia23_v1_166
authors Chamorro Martin, Eduardo; Burry, Mark; Marengo, Mathilde
year 2023
title High-performance Spatial Composite 3D Printing
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 166-171.
summary This project explores the advantages of employing continuum material topology optimization in a 3D non-standard lattice structure through fiber additive manufacturing processes (Figure 1). Additive manufacturing (AM) has gained rapid adoption in architecture, engineering, and construction (AEC). However, existing optimization techniques often overlook the mechanical anisotropy of AM processes, resulting in suboptimal structural properties, with a focus on layer-by-layer or planar processes. Materials, processes, and techniques considering anisotropy behavior (Kwon et al. 2018) could enhance structural performance (Xie 2022). Research on 3D printing materials with high anisotropy is limited (Eichenhofer et al. 2017), but it holds potential benefits (Liu et al. 2018). Spatial lattices, such as space frames, maximize structural efficiency by enhancing flexural rigidity and load-bearing capacity using minimal material (Woods et al. 2016). From a structural design perspective, specific non-standard lattice geometries offer great potential for reducing material usage, leading to lightweight load-bearing structures (Shelton 2017). The flexibility and freedom of shape inherent to AM offers the possibility to create aggregated continuous truss-like elements with custom topologies.
series ACADIA
type project
email
last changed 2024/04/17 13:58

_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
doi https://doi.org/10.52842/conf.caadria.2017.841
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
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 ecaade2017_087
id ecaade2017_087
authors Marijnissen, Marjolein P.A.M. and van der Zee, Aant
year 2017
title 3D Concrete Printing in Architecture - A research on the potential benefits of 3D Concrete Printing in Architecture
doi https://doi.org/10.52842/conf.ecaade.2017.2.299
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. 299-308
summary This research explores the use of large-scale 3D Printing techniques in architecture and structural design. First we will analyse the various methods in large-scale 3D printing in order to choose the method with the most potential to be used to build large-scale residential buildings in the Netherlands. Then we will investigate the properties of this 3D printing technique to determine the new building process, related to building with a 3D Concrete Printer. The freedom in movement of the printer and the properties of the concrete mixture used to print will form the guidelines in the creation of a design language in which both material costs and labour costs are reduced to a minimum. The design language is later applied on the design of a house, which shows the impact 3D Concrete Printing should have on the current boundaries in architecture and structural design.
keywords Additive Manufacturing; 3D Concrete Printing; Structural Optimization; Personalization
series eCAADe
email
last changed 2022/06/07 07:59

_id caadria2017_055
id caadria2017_055
authors Caetano, In?s and Leit?o, António
year 2017
title Integration of an Algorithmic BIM Approach in a Traditional Architecture Studio
doi https://doi.org/10.52842/conf.caadria.2017.633
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. 633-642
summary Algorithmic BIM combines BIM and Generative Design (GD), merging the potentialities of both approaches. In this paper we describe the design process of a set of parametric facades developed using Algorithmic-BIM, and how this approach was integrated into the design workflow of two architectural studios. We demonstrate how the integration of GD together with BIM influenced the whole design process and also the selection of the final solution. Some of the limitations found during the entire process are also addressed in the paper, such as tight deadlines and financial constraints. Finally, we explain the pros and cons of using this design method compared to a traditional BIM approach, and we discuss the implementation of this paradigm in a traditional design practice. This work was developed using Rosetta, an IDE for Generative Design that supports scripts using different programming languages and allows the generation and edition of 3D models in a variety of CAD and BIM applications. The result of this work is an information model of three parametric facades for a residential building, from which we can extract material quantities and construction performance tests.
keywords Generative design; collaborative design; CAD-BIM portability; parametric facade design
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2019_657
id caadria2019_657
authors Chen, Zhewen, Zhang, Liming and Yuan, Philip F.
year 2019
title Innovative Design Approach to Optimized Performance on Large-Scale Robotic 3D-Printed Spatial Structure
doi https://doi.org/10.52842/conf.caadria.2019.2.451
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 451-460
summary This paper presents an innovative approach on designing large-scale spatial structure with automated robotic 3D-printing. The incipient design approach mainly focused on optimizing structural efficiency at an early design stage by transform the object into a discrete system, and the elements in this system contains unique structural parameters that corresponding to its topology results of stiffness distribution. Back in 2017, the design team already implemented this concept into an experimental project of Cloud Pavilion in Shanghai, China, and the 3D-printed spatial structure was partitioned into five zones represent different level of structure stiffness and filled with five kinds of unit toolpath accordingly. Through further research, an upgrade version, the project of Cloud Pavilion 2.0 is underway and will be completed in January 2019. A detailed description on innovative printing toolpath design in this project is conducted in this paper and explains how the toolpath shape effects its overall structural stiffness. This paper contributes knowledge on integrated design in the field of robotic 3D-printing and provides an alternative approach on robotic toolpath design combines with the optimized topological results.
keywords 3D-Printing; Robotic Fabrication; Structural Optimization; Discrete System; Toolpath Design
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2017_031
id caadria2017_031
authors Crolla, Kristof, Williams, Nicholas, Muehlbauer, Manuel and Burry, Jane
year 2017
title SmartNodes Pavilion - Towards Custom-optimized Nodes Applications in Construction
doi https://doi.org/10.52842/conf.caadria.2017.467
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. 467-476
summary Recent developments in Additive Manufacturing are creating possibilities to make not only rapid prototypes, but directly manufactured customised components. This paper investigates the potential for combining standard building materials with customised nodes that are individually optimised in response to local load conditions in non-standard, irregular, or doubly curved frame structures. This research iteration uses as a vehicle for investigation the SmartNodes Pavilion, a temporary structure with 3D printed nodes built for the 2015 Bi-City Biennale of Urbanism/Architecture in Hong Kong. The pavilion is the most recent staged output of the SmartNodes Project. It builds on the findings in earlier iterations by introducing topologically constrained node forms that marry the principals of the evolved optimised node shape with topological constraints imposed to meet the printing challenges. The 4m high canopy scale prototype structure in this early design research iteration represents the node forms using plastic Fused Deposition Modelling (FDM).
keywords Digital Fabrication; Additive Manufacturing; File to Factory; Design Optimisation; 3D printing for construction
series CAADRIA
email
last changed 2022/06/07 07:56

_id caadria2017_149
id caadria2017_149
authors Dickey, Rachel
year 2017
title Soft Systems - Rethinking Indeterminacy in Architecture as Opportunity Driven Research
doi https://doi.org/10.52842/conf.caadria.2017.811
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. 811-820
summary The research projects in this paper examine the notion of soft systems relative to machine induced material consequences. It asks, how might we integrate processes and methods which leave tolerances for indeterminacy and flexibility into design and construction? The two projects outlined investigate change of state materials paired with automation strategies, focusing on additive processes with thermally induced material configurations and programmable matter with magnetically controlled formations.
keywords robotics; 3d printing; digital fabrication; automation; indeterminacy
series CAADRIA
email
last changed 2022/06/07 07:55

_id cf2017_419
id cf2017_419
authors Dickey, Rachel
year 2017
title Soft Computing in Design: Developing Automation Strategies from Material Indeterminacies
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. 419-430.
summary Integrating concepts of soft computation into advanced manufacturing and architecture means perceiving the element of chance not as a hindrance, but as an opportunity. The projects examined in this manuscript explore opportunities for integrating material indeterminacy into advanced manufacturing by pairing a certain degree material unpredictability with the rigid order of machine control. The three projects described investigate three common categories of automated tooling including additive processes, subtractive processes and molding / casting processes. Each project begins with the question, what opportunities might arise from the mediation between material volition and computational control? By embracing indeterminate material results and taking an optimistic stance on chance and uncertainty, which are usually treated as problems rather than values, the intent is to provide ways for automating unique material effects and explore the opportunities for integrating soft computing in design.
keywords Robotics, 3d Printing, Digital Fabrication, Automation, Indeterminacy
series CAAD Futures
email
last changed 2017/12/01 14:38

_id caadria2017_069
id caadria2017_069
authors Dritsas, Stylianos, Chen, Lujie and Sass, Lawrence
year 2017
title Small 3D Printers / Large Scale Artifacts - Computation for Automated Spatial Lattice Design-to-Fabrication with Low Cost Linear Elements and 3D Printed Nodes
doi https://doi.org/10.52842/conf.caadria.2017.821
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. 821-830
summary The presented process enables users to design, fabricate and assemble spatial lattices comprised of linear stock materials such as round section timber, aluminum or acrylic dowels and complex 3D printed joints. The motivation for the development of this application is informed by the incredible availability of low cost 3D printers which enable anyone to produce small scale artifacts; deploying rapid prototyping to achieve larger scale artifacts than the machine's effective work envelope is a challenge for additive manufacturing; and the trend in the design computing world away highly technical specialized software towards general public applications.
keywords Design Computation; Digital Fabrication; 3D Printing; Spatial Lattices; Design to Production
series CAADRIA
email
last changed 2022/06/07 07:55

_id acadia17_260
id acadia17_260
authors Goldman, Melissa; Myers, Carolina
year 2017
title Freezing the Field: Robotic Extrusion Techniques Using Magnetic Fields
doi https://doi.org/10.52842/conf.acadia.2017.260
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. 260-265
summary The introduction of robotics into the field of 3D printing allows designers and fabricators to truly print in three dimensions, focusing more on the volumetric properties of the extrusion rather than two-dimensional slicing and, furthermore, introducing forces that can defy gravity. This paper introduces a new method of robotic extrusion using magnetic fields to construct ferrostructures. Using a custom tool and ferromagnetic material, the research develops a construction process utilizing the off-plane toolpaths of a 6-axis industrial robotic arm to pull, attract, and repel material into a hardened structure. The ferromagnetic liquid forms spikes and connections around the invisible magnetic fields, and upon hardening, freezes the field into a new physical artifact. This extrusion process allows a fabrication that defies gravity. The robotic fabrication process allows microextrusions to build off of one another, scaling the result to approach an architectural scale and bringing a new freedom to the designer and the fabricator.
keywords material and construction; fabrication; construction/robotics
series ACADIA
email
last changed 2022/06/07 07:51

_id cf2017_431
id cf2017_431
authors Gonzalez, Paloma; Sass, Larry
year 2017
title Constructive Design: Rule Discovery for 3D Printing Decomposed Large Objects
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. 431-442.
summary This paper presents a rule discovery process for designers that work with physically large 3D printed models. After a period of discovery, rules were formalized, then developed into operations and programmable functions used in a generative design system. Past examples of generative systems are built based on visual constraints leading to graphical outcomes. With the emergence of 3D printing, we introduce ideas for rule building based on physical constraints and outcomes. The decomposition rules are: curved surface slicing, freestanding attribute, interval patterning, edge mating, and pneumatic attribute. The freestanding attribute, the most novel rule, is based on Chilean anti-earthquake building techniques. This rule provides the greatest degree of structural stability to a model. We conclude with a discussion of results from the case study used to generate the set constructive rules. We believe this method of module generation, 3D Printing and assembles can support design prototyping and model manufacturing across scales.
keywords Decomposition, Large Objects, 3D Printing.
series CAAD Futures
email
last changed 2017/12/01 14:38

_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
doi https://doi.org/10.52842/conf.acadia.2020.1.382
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.
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 ecaade2017_210
id ecaade2017_210
authors Jimenez Garcia, Manuel, Soler, Vicente and Retsin, Gilles
year 2017
title Robotic Spatial Printing
doi https://doi.org/10.52842/conf.ecaade.2017.2.143
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. 143-150
summary There has been significant research into large-scale 3D printing processes with industrial robots. These were initially used to extrude in a layered manner. In recent years, research has aimed to make use of six degrees of freedom instead of three. These so called "spatial extrusion" methods are based on a toolhead, mounted on a robot arm, that extrudes a material along a non horizontal spatial vector. This method is more time efficient but up to now has suffered from a number of limiting geometrical and structural constraints. This limited the formal possibilities to highly repetitive truss-like patterns. This paper presents a generalised approach to spatial extrusion based on the notion of discreteness. It explores how discrete computational design methods offer increased control over the organisation of toolpaths, without compromising design intent while maintaining structural integrity. The research argues that, compared to continuous methods, discrete methods are easier to prototype, compute and manufacture. A discrete approach to spatial printing uses a single toolpath fragment as basic unit for computation. This paper will describe a method based on a voxel space. The voxel contains geometrical information, toolpath fragments, that is subsequently assembled into a continuous, kilometers long path. The path can be designed in response to different criteria, such as structural performance, material behaviour or aesthetics. This approach is similar to the design of meta-materials - synthetic composite materials with a programmed performance that is not found in natural materials. Formal differentiation and structural performance is achieved, not through continuous variation, but through the recombination of discrete toolpath fragments. Combining voxel-based modelling with notions of meta-materials and discrete design opens this domain to large-scale 3D printing. Please write your abstract here by clicking this paragraph.
keywords discrete; architecture; robotic fabrication; large scale printing; software; plastic extrusion
series eCAADe
email
last changed 2022/06/07 07:52

_id sigradi2017_055
id sigradi2017_055
authors Jipa, Andrei; Mathias Bernhard, Nicolas Ruffray, Dr. Timothy Wangler, Prof. Dr. Flatt, Robert; Benjamin Dillenburger
year 2017
title SkelETHon Formwork - 3D Printed Plastic Formwork for Load-Bearing Concrete Structures
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.379-387
summary The imperative need for complex geometries in architecture is driving innovation towards an unconstrained fabrication freedom in building components. Fabrication constraints are a critical obstacle when material efficiency through complex, optimized topologies is sought. To address this constraint, this research investigates the use of 3D printed plastic formwork for fibre reinforced concrete at large scale. This novel construction method makes complex topologies and precise details possible for full-scale, load bearing structures. To demonstrate its potential applications, SkelETHon —a functional four-meter-long concrete canoe— was designed, built and raced in a regatta on the Rhine river (Figure 1).
keywords Concrete; 3D Printing; Formwork; Digital Fabrication; Canoe;
series SIGRADI
email
last changed 2021/03/28 19:58

_id ecaade2020_184
id ecaade2020_184
authors Kycia, Agata and Guiducci, Lorenzo
year 2020
title Self-shaping Textiles - A material platform for digitally designed, material-informed surface elements
doi https://doi.org/10.52842/conf.ecaade.2020.2.021
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 21-30
summary Despite the cutting edge developments in science and technology, architecture to a large extent still tends to favor form over matter by forcing materials into predefined, often superficial geometries, with functional aspects relegated to materials or energy demanding mechanized systems. Biomaterials research has instead shown a variety of physical architectures in which form and matter are intimately related (Fratzl, Weinkamer, 2007). We take inspiration from the morphogenetic processes taking place in plants' leaves (Sharon et al., 2007), where intricate three-dimensional surfaces originate from in-plane growth distributions, and propose the use of 3D printing on pre-stretched textiles (Tibbits, 2017) as an alternative, material-based, form-finding technique. We 3D print open fiber bundles, analyze the resulting wrinkling phenomenon and use it as a design strategy for creating three-dimensional textile surfaces. As additive manufacturing becomes more and more affordable, materials more intelligent and robust, the proposed form-finding technique has a lot of potential for designing efficient textile structures with optimized structural performance and minimal usage of material.
keywords self-shaping textiles; material form-finding; wrinkling; surface instabilities; bio-inspired design; leaf morphogenesis
series eCAADe
email
last changed 2022/06/07 07:52

_id ecaade2018_427
id ecaade2018_427
authors Matcha, Heike, Ljubas, Ante and Gueldemet, Harun
year 2018
title Printing a Coffee Bar - An investigation into mid-scale 3D printing
doi https://doi.org/10.52842/conf.ecaade.2018.2.059
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 59-68
summary We present and discuss an exploration of the possibilities and properties of 3D printing with a printing space of 1 cubic meter, and how those can be integrated into architectural education through an experimental design and research course with students of architecture.We expand on issues presented at the eCAADe conference 2017 in Rome [Ref 6] by increasing the complexity and size of our prints, printing not a model to scale, but a full scale funtional prototype of a usable architectural object: A coffee bar.
keywords 3D Printing; Parametric Modelling; Full Scale Project
series eCAADe
email
last changed 2022/06/07 07:59

_id ecaade2017_151
id ecaade2017_151
authors Moloney, Jules, Twose, Simon, Jenner, Ross, Globa, Anastasia and Wang, Rui
year 2017
title Lines from the Past - Non-photorealistic immersive virtual environments for the historical interpretation of unbuilt architectural drawings
doi https://doi.org/10.52842/conf.ecaade.2017.2.711
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. 711-720
summary The trajectory of virtual reality for architecture is towards photo-realism. While this may be effective for some contexts, we propose that abstraction is more appropriate for the purposes of a historian interpreting drawings of unbuilt works of architecture. The case study we are using to explore this proposition is the Palazzo Littorio competition set in 1934 Rome. We present two prototype immersive virtual reality (iVR) applications developed in Unity for Oculus Rift: the first uses an etching aesthetic to produce a quasi-realistic site context and an interface that enables the comparative evaluation of competition entries from key viewing positions; the second application takes an even more abstract approach, where the aim is to immerse the historian within a 3D drawing, along with other historical material (drawings, photos, paintings, narrations of texts) and uses spatialized sound to evoke the ambience of the period.
keywords Virtual Reality; Non-Photorealism; Architectural History
series eCAADe
email
last changed 2022/06/07 07:58

_id lasg_whitepapers_2019_291
id lasg_whitepapers_2019_291
authors Sabin, Jenny
year 2019
title Lumen
source Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.291 - 318
summary This paper documents the computational design methods, digital fabrication strategies, and generative design process for [Lumen], winner of MoMA & MoMA PS1’s 2017 Young Architects Program. The project was installed in the courtyard at MoMA PS1 in Long Island City, New York, during the summer of 2017. Two lightweight 3D digitally knitted fabric canopy structures composed of responsive tubular and cellular components employ recycled textiles, photo-luminescent and solar active yarns that absorb and store UV energy, change color, and emit light. This environment offers spaces of respite, exchange, and engagement as a 150 x 75-foot misting system responds to visitors’ proximity, activating fabric stalactites that produce a refreshing micro-climate. Families of robotically prototyped and woven recycled spool chairs provide seating throughout the courtyard. The canopies are digitally fabricated with over 1,000,000 yards of high tech responsive yarn and are supported by three 40+ foot tensegrity towers and the surrounding matrix of courtyard walls. Material responses to sunlight as well as physical participation are integral parts of our exploratory approach to the 2017 YAP brief. The project is mathematically generated through form-finding simulations informed by the sun, site, materials, program, and the material morphology of knitted cellular components. Resisting a biomimetic approach, [Lumen] employs an analogic design process where complex material behavior and processes are integrated with personal engagement and diverse programs. The comprehensive installation was designed by Jenny Sabin Studio and fabricated by Shima Seiki WHOLEGARMENT, Jacobsson Carruthers, and Dazian with structural engineering by Arup and lighting by Focus Lighting.
keywords living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed 2019/07/29 14:02

_id acadia18_444
id acadia18_444
authors Sabin, Jenny; Pranger, Dillon; Binkley, Clayton; Strobel, Kristen; Liu, Jingyang (Leo)
year 2018
title Lumen
doi https://doi.org/10.52842/conf.acadia.2018.444
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. 444-455
summary This paper documents the computational design methods, digital fabrication strategies, and generative design process for Lumen, winner of MoMA & MoMA PS1’s 2017 Young Architects Program. The project was installed in the courtyard at MoMA PS1 in Long Island City, New York, during the summer of 2017. Two lightweight 3D digitally knitted fabric canopy structures composed of responsive tubular and cellular components employ recycled textiles, photo-luminescent and solar active yarns that absorb and store UV energy, change color, and emit light. This environment offers spaces of respite, exchange, and engagement as a 150 x 75-foot misting system responds to visitors’ proximity, activating fabric stalactites that produce a refreshing micro-climate. Families of robotically prototyped and woven recycled spool chairs provide seating throughout the courtyard. The canopies are digitally fabricated with over 1,000,000 yards of high tech responsive yarn and are supported by three 40+ foot tensegrity towers and the surrounding matrix of courtyard walls. Material responses to sunlight as well as physical participation are integral parts of our exploratory approach to the 2017 YAP brief. The project is mathematically generated through form-finding simulations informed by the sun, site, materials, program, and the material morphology of knitted cellular components. Resisting a biomimetic approach, Lumen employs an analogic design process where complex material behavior and processes are integrated with personal engagement and diverse programs. The comprehensive installation was designed by Jenny Sabin Studio and fabricated by Shima Seiki WHOLEGARMENT, Jacobsson Carruthers, and Dazian with structural engineering by Arup and lighting by Focus Lighting.
keywords full paper, materials & adaptive systems, digital fabrication, flexible structures, performance + simulation
series ACADIA
type paper
email
last changed 2022/06/07 07:56

_id acadia17_52
id acadia17_52
authors Ajlouni, Rima
year 2017
title Simulation of Sound Diffusion Patterns of Fractal-Based Surface Profiles
doi https://doi.org/10.52842/conf.acadia.2017.052
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. 52-61
summary Acoustical design is one of the most challenging aspects of architecture. A complex system of competing influences (e.g., space geometry, size, proportion, material properties, surface detail, etc.) contribute to shaping the quality of the auditory experience. In particular, architectural surfaces affect the way that sound reflections propagate through space. By diffusing the reflected sound energy, surface designs can promote a more homogeneous auditory atmosphere by mitigating sharp and focused reflections. One of the challenges with designing an effective diffuser is the need to respond to a wide band of sound wavelengths, which requires the surface profile to precisely encode a range of detail sizes, depths and angles. Most of the available sound diffusers are designed to respond to a narrow band of frequencies. In this context, fractal-based surface designs can provide a unique opportunity for mitigating such limitations. A key principle of fractal geometry is its multilevel hierarchical order, which enables the same pattern to occur at different scales. This characteristic makes it a potential candidate for diffusing a wider band of sound wavelengths. However, predicting the reflection patterns of complicated fractal-based surface designs can be challenging using available acoustical software. These tools are often costly, complicated and are not designed for predicting early sound propagation paths. This research argues that writing customized algorithms provides a valuable, free and efficient alternative for addressing targeted acoustical design problems. The paper presents a methodology for designing and testing a customized algorithm for predicting sound diffusion patterns of fractal-based surfaces. Both quantitative and qualitative approaches were used to develop the code and evaluate the results.
keywords design methods; information processing; simulation & optimization; data visualization
series ACADIA
email
last changed 2022/06/07 07:54

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