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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	acadia18_244
id	acadia18_244
authors	Belanger, Zackery; McGee, Wes; Newell, Catie
year	2018
title	Slumped Glass: Auxetics and Acoustics
doi	https://doi.org/10.52842/conf.acadia.2018.244
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. 244-249
summary	This research investigates the effect of curvature, at a variety of scales, on the acoustic properties of glass. Plate glass, which has predictable and uniform acoustically reflective behavior, can be formed into curved surfaces through a combination of parametrically-driven auxetic pattern generation, CNC water-jet cutting, and controlled heat forming. When curved, plate glass becomes “activated” and complex acoustically-diffusive behavior emerges. The parametrically-driven auxetic perforation pattern allows the curvature to be altered and controlled across a formed pane of glass, and a correlation is demonstrated between the level of curvature and the extent of acoustically diffusive behavior. Beyond individual panels, curved panes can be aggregated to extend acoustic influence to the entire interior room condition, and the pace at which acoustic energy is distributed can be controlled. In this work the parameters surrounding the controlled slumping of glass are described, and room-sized formal and acoustic effects are studied using wave-based acoustic simulation techniques. This paper discusses the early stages of work in progress.
keywords	work in progress, materials and adaptive systems, performance and simulation, digital fabrication
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	acadia21_380
id	acadia21_380
authors	Huang, Zhenxiang; Chiang, Yu-Chou; Sabin, Jenny E.
year	2021
title	Automating Bi-Stable Auxetic Patterns for Polyhedral Surface
doi	https://doi.org/10.52842/conf.acadia.2021.380
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. 380-391.
summary	Bi-stable auxetic structures, a novel class of architected material systems that can transform bi-axially between two stable states, offers unique research interest for designing a deployable stable structural system. The switching behavior we discuss here relies on rotations around skewed hinges at vertex rotating connectors. Different arrangements of skewing hinges lead to different local curvatures. This paper proposes a computational approach to design the self-interlocking pattern of a bi-stable auxetic system that can be switched between flat and desired curved states. We build an algorithm which takes a target synclastic polyhedral surface as input to generate the geometrical pattern with skewing hinges. Finally, we materialized prototypes to validate our proposed structures and to exhibit potential applications.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_863
id	sigradi2020_863
authors	Jalkh, Heidi
year	2020
title	Morpho-Active Materials: Fabricating auxetic structures with bioinspired behavior
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 863-869
summary	This practice-led research lies at the intersection of design, craft, materials science, and biology. Inspired by the responsive mechanism of plant’s biological actuators, and Nature's outstanding capacity of attaining maximal performances while using minimum resources. This thesis explores how to achieve a higher level of integration between the generation of form and behavior with its materialization and fabrication.This research proposes to endow a conventional laminar elastic material with unconventional behavior. Taking as inspiration plants biological actuators, which allows them to sense and adapt according to different environmental stimuli. We explored, developed, and fabricated a range of cellular structures (and in particular auxetics) that have out of the plane shape morphing capabilities, displaying a distinctive behavior in response to a design pattern (spatial cell arrangement) and an actuating force.The final design is a material/geometry-based actuator with reversible behavior, an active material with integrated tunable and responsive capacity which provides the capabilities to sense, adapt and respond to external stimuli within the structure of the material.
keywords	Bioinspired, Auxetic Materials, Shape-shifting, Active matter, Soft matter
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	acadia18_294
id	acadia18_294
authors	Kieffer, Lynn; Nicholas, Paul
year	2018
title	Pneumatically Actuated Material. Exploration of the mophospace of an adaptable system of soft actuators
doi	https://doi.org/10.52842/conf.acadia.2018.294
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. 294-301
summary	This research in progress investigates a design and fabrication method of an adaptable and programmable composite material in an embodied computation system. It develops a workflow for a behavior-based model, the exploration of the morpho-space associated with the combinatorial assembly and the actuation of soft elements. The aggregation of individually actuatable and soft units in a system creates a large potential regarding adaptability, flexibility and reconfigurability, through a non-rigid and non-mechanical system. The cells are developed through a process of prototyping on origami and auxetic pattern inspired soft robotic elements. Every soft cell is pneumatically actuated through a negative pressure environment. The computational simulation is informed by the prototyping process and its findings. The simulation-based design of such an assembled system allows prediction of the aggregated shape and outputs a sequencing table, describing the actuation status of every cell and can create a tool to communicate between material and computational system
keywords	work in progress,pneumatic actuation, adaptable soft material
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	acadia17_392
id	acadia17_392
authors	Mesa, Olga; Stavric, Milena; Mhatre, Saurabh; Grinham, Jonathan; Norman, Sarah; Sayegh, Allen; Bechthold, Martin
year	2017
title	Non-Linear Matters: Auxetic Surfaces
doi	https://doi.org/10.52842/conf.acadia.2017.392
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. 392- 403
summary	Auxetic structures exhibiting non-linear buckling are a prevalent research topic in the material sciences due to the ability to tune their reversible actuation, porosity, and negative Poisson’s ratio. However, the research is limited to feature sizes at scales below 10 mm2, and to date, there are no available efficient design and prototyping methods for architectural designers. Our study develops design principles and workflow methods to transform standard materials into auxetic surfaces at an architectural scale. The auxetic behavior is accomplished through buckling and hinging by subtracting from a homogeneous material to create perforated patterns. The form of the perforations, including shape, scale, and spacing, determines the behavior of multiple compliant "hinges" generating novel patterns that include scaling and tweening transformations. An analytical method was introduced to generate hinge designs in four-fold symmetric structures that approximate non-linear buckling. The digital workflow integrates a parametric geometry model with non-linear finite element analysis (FEA) and physical prototypes to rapidly and accurately design and fabricate auxetic materials. A robotic 6-axis waterjet allowed for rapid production while maintaining needed tolerances. Fabrication methods allowed for spatially complex shaping, thus broadening the design scope of transformative auxetic material systems by including graphical and topographical biases. The work culminated in a large-scale fully actuated and digitally controlled installation. It was comprised of auxetic surfaces that displayed different degrees of porosity, contracting and expanding while actuated electromechanically. The results provide a promising application for the rapid design of non-linear auxetic materials at scales complimentary to architectural products.
keywords	material and construction; CAM; prototyping; smart materials; auxetic
series	ACADIA
email
last changed	2022/06/07 07:58

_id	sigradi2015_3.268
id	sigradi2015_3.268
authors	Naboni, Roberto; Mirante, Lorenzo
year	2015
title	Metamaterial computation and fabrication of auxetic patterns for architecture
source	SIGRADI 2015 [Proceedings of the 19th Conference of the Iberoamerican Society of Digital Graphics - vol. 1 - ISBN: 978-85-8039-135-0] Florianópolis, SC, Brasil 23-27 November 2015, pp. 129-136.
summary	The paper investigates the potential of auxetics in architectural applications by means of computational design and additive manufacturing. This class of metamaterials expresses interesting behaviour related to the unusual characteristics of a negative Poisson’s ratio. Different patterns have been studied through a design workflow based on parametric software and the use of Particle Spring systems to support the form-finding process of bending-active auxetic structures. An advanced understanding of their bending capacity is explored with the use of variable infill patterns informed by structural analysis. Furthermore, principles for the design and fabrication of auxetic gridshells are discussed.
keywords	Auxetics, Computational Design, Form-Finding, Synclastic Shell, 3D-printing
series	SIGRADI
email
last changed	2016/03/10 09:55

_id	sigradi2016_490
id	sigradi2016_490
authors	Naboni, Roberto; Pezzi, Stefano Sartori
year	2016
title	Embedding auxetic properties in designing active-bending gridshells
source	SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.720-726
summary	Advancements in computational tools are offering designers the possibility to change their relationship with materials. The exploration of auxetic metamaterials, specifically engineered to obtain properties beyond those found in nature, is the promising field examined in this paper. The aim is to define tools and methods in order to design auxetics, and use them to create efficient active-bending structures. By programming their geometry through several parameters, it is possible to finely control curvature and structural resistance. The paper describes an original investigation into the process of programming such structures through the use of combined computational tools.
keywords	Auxetics; Active-Bending; 3D Printing; Computational Design
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	caadria2015_099
id	caadria2015_099
authors	Park, Daekwon; Juhun Lee and Alejandra Romo
year	2015
title	Poisson's Ratio Material Distributions
doi	https://doi.org/10.52842/conf.caadria.2015.735
source	Emerging Experience in Past, Present and Future of Digital Architecture, Proceedings of the 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2015) / Daegu 20-22 May 2015, pp. 735-744
summary	The Poisson’s ratio of materials describes the ratio of the transverse to axial strain. While most materials exhibit non-negative Poisson ratio, here we focus on the topological properties of negative ratio materials also known as auxetic constructs. Digital modelling and physical fabrication are employed to generate and test experimental auxetic configurations. The first set of studies employ 2D space-filling tessellations integrating both negative and positive Poisson ratio cells. The tessellations are designed through binary state transitions and gradual morphing transitions. A second set of studies explores the topological optimization of a single negative Poisson cell configuration following the logic that a cell constitutes the building block of auxetic materials. The third set of studies focuses on the translation of heterogeneous Poisson ratio 2D tessellations into 3D constructs. Here, two methods of fabrication are explored: lamination method and cellular grading. The precision of the cellular grading method renders it particularly suitable for multi-material 3D printing fabrication which is theoretically studied and proposed. Space-filling heterogeneous tessellation studies are applied to architectural and product design proposals. These proposals exhibit properties that could serve to design and develop further research on real-world applications.
keywords	Optimization; cellular structure; negative Poisson’s ratio; auxetic material; material distribution.
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	acadia19_72
id	acadia19_72
authors	Pertigkiozoglou, Eliza
year	2019
title	Pattern Mapping
doi	https://doi.org/10.52842/conf.acadia.2019.072
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 72-80
summary	Current computer-aided-design tools tend to focus on technical descriptions of objects and processes, while disregarding the agency of the designer in the creative process. This research shifts the focus to explore how computational tools could embrace the designer’s perception and trigger design exploration. In this direction, Pattern Mapping is presented as a prototypical software for the designing, making, and learning of a geometric material system: free-form surfaces created by the deformation of thin aluminum with auxetic-pattern slits. Along with the development of the software, the paper reports on a new methodology towards visual exploration in computational tools. Texture mapping—a computer-graphics algorithm—is utilized to bridge intuitive visualizations of form and materiality with geometric analysis. Informed by recent studies on design creativity, visual perception, and a precedent of an artist’s workflow, the proposed software facilitates learning through multiple modes of representations and drawing-like operations. Ultimately, Pattern Mapping is a provocation for the fusion of computational analysis with perception, drawing, and making.
keywords
series	ACADIA
type	normal paper
email
last changed	2022/06/07 08:00

_id	cdrf2023_114
id	cdrf2023_114
authors	Simin Nasiri
year	2023
title	Auxetic Grammars: An Application of Shape Grammar Using Shape Machine to Generate Auxetic Metamaterial Geometries for Fabricating Sustainable Kinetic Panels
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_10
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	Auxetic materials are materials with a peculiar mechanical behavior compared to other regular materials. Its main difference exists in its reaction to tension. Most materials exhibit a positive Poisson’s ratio [1], that is, they laterally shrink when stretched or expand when compressed. On the contrary, auxetic materials exhibit a negative Poisson’s ratio (NPR), that is, they laterally expand when stretched or laterally shrink when compressed [2]. In this paper, the significance and role of geometry in auxetic materials’ behavior will be investigated. For this purpose, we will be using shape grammar rules with a strong generative tool called Shape Machine [3] to create auxetic geometries with their complex behavior out of simple rules. These geometries’ applications can be fabricating sustainable kinetic panels for buildings to interact with and adapt to the environment.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2013_261
id	caadria2013_261
authors	Themistocleous, Theodoros
year	2013
title	Modelling, Simulation and Verification of Pneumatically Actuated Auxetic Systems
doi	https://doi.org/10.52842/conf.caadria.2013.395
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 395-404
summary	This paper presents the development of an SLS 3D printed auxetic structure actuated to a predefined form by an embedded pneumatic network through an iterative process of feedback between digital simulation and physical testing. This feedback process is critical to the development of a more accurate predictive model, and to compose the geometry of the suggested structure. An approach based on the emergence of the final structure from the convergence of the behaviour of sub-structures and a methodology based on the analysis and synthesis of the simplest sub-system is the core of this research. The results indicate a promising simulation environment and a novel methodology for the design and fabrication of auxetic structures with embedded pneumatic actuation. This exploratory research suggests a fertile space for investigation within the field of adaptive architecture and soft kinetic design.
wos	WOS:000351496100039
keywords	Auxetic, Fabrication, Simulation, Pneumatic, Kinetic
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	acadia20_188
id	acadia20_188
authors	Tian, Runjia; Wang, Yujie; Yüce Gün, Onur
year	2020
title	Data-Driven Midsole
doi	https://doi.org/10.52842/conf.acadia.2020.2.188
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. 188-197.
summary	With the advancement of additive manufacturing, computational approaches are gaining popularity in midsole design. We develop an experimental understanding of the midsole as a field and develop designs that are informed by running data. We streamline two data types, namely underfoot pressure and surface deformation, to generate designs. Unlike typical approaches in which certain types of lattices get distributed across the midsole according to average pressure data, we use ARAMIS data, reflecting the distinct surface deformation characteristics, as our primary design driver. We analyze both pressure and deformation data temporally, and temporal data patterns help us generate and explore a design space to search for optimal designs. First, we define multiple zones across the midsole space using ARAMIS data clustering. Then we develop ways to blend and distribute auxetic and isosurface lattices across the midsole. We hybridize these two structures and blend data-determined zones to enhance visual continuity while applying FEA simulations to ensure structural integrity. This multi-objective optimization approach helps enhance the midsole’s structural performance and visual coherence while introducing a novel approach to 3D-printed footwear design.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	cdrf2022_488
id	cdrf2022_488
authors	Tomás Vivanco, Juan Eduardo Ojeda, Philip Yuan
year	2022
title	Regression-Based Inductive Reconstruction of Shell Auxetic Structures
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_42
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	This article presents the design process for generating a shell-like structure from an activated bent auxetic surface through an inductive process based on applying deep learning algorithms to predict a numeric value of geometrical features. The process developed under the Material Intelligence Workflow applied to the development of (1) a computational simulation of the mechanical and physical behaviour of an activated auxetic surface, (2) the generation of a geometrical dataset composed of six geometric features with 3,000 values each, (3) the construction and training of a regression Deep Neuronal Network (DNN) model, (4) the prediction of the geometric feature of the auxetic surface's pattern distance, and (5) the reconstruction of a new shell based on the predicted value. This process consistently reduces the computational power and simulation time to produce digital prototypes by integrating AI-based algorithms into material computation design processes.
series	cdrf
email
last changed	2024/05/29 14:03

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