Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	acadia21_318
id	acadia21_318
authors	Borhani, Alireza; Kalantar, Negar
year	2021
title	Nesting Fabrication
doi	https://doi.org/10.52842/conf.acadia.2021.318
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. 318-327.
summary	Positioned at the intersection of the computational modes of design and production, this research explains the principles and applications of a novel fabrication-informed geometric system called nesting. Applying the nesting fabrication method, the authors reimage the construction of complex forms by proposing geometric arrangements that lessen material waste and reduce production time, transportation cost, and storage space requirements. Through this method, appearance and performance characteristics are contingent on fabrication constraints and material behavior. In this study, the focus is on developing design rules for this method and investigating the main parameters involved in dividing the global geometry of a complex volume into stackable components when the first component in the stack gives shape to the second. The authors introduce three different strategies for nesting fabrication: 2D, 2.5D, and 3D nesting. Which of these strategies can be used depends on the geometrical needs of the design and available tools and materials. Next, by revisiting different fabrication approaches, the authors introduce readers to the possibility of large-scale objects with considerable overhangs without the need for nearly any temporary support structures. After establishing a workflow starting with the identification of geometric rules of nesting and ending with fabrication limits, this work showcases the proposed workflow through a series of case studies, demonstrating the feasibility of the suggested method and its capacity to integrate production constraints into the design process. Traversing from pragmatic to geometrical concerns, the approach discussed here offers an integrated approach supporting functional, structural, and environmental matters important when turning material, technical, assembly, and transportation systems into geometric parameters.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_389
id	caadria2021_389
authors	del Campo, Matias
year	2021
title	Architecture,Language and AI - Language,Attentional Generative Adversarial Networks (AttnGAN) and Architecture Design
doi	https://doi.org/10.52842/conf.caadria.2021.1.211
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 211-220
summary	The motivation to explore Attentional Generative Adversarial Networks (AttnGAN) as a design technique in architecture can be found in the desire to interrogate an alternative design methodology that does not rely on images as starting point for architecture design, but language. Traditionally architecture design relies on visual language to initiate a design process, wither this be a napkin sketch or a quick doodle in a 3D modeling environment. AttnGAN explores the information space present in programmatic needs, expressed in written form, and transforms them into a visual output. The key results of this research are shown in this paper with a proof-of-concept project: the competition entry for the 24 Highschool in Shenzhen, China. This award-winning project demonstrated the ability of GraphCNN to serve as a successful design methodology for a complex architecture program. In the area of Neural Architecture, this technique allows to interrogate shape through language. An alternative design method that creates its own unique sensibility.
keywords	Artificial Intelligence; Machine Learning; Artificial Neural Networks; Semiotics; Design Methodology
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ijac202119106
id	ijac202119106
authors	Del Campo, Matias; Alexandra Carlson, and Sandra Manninger
year	2021
title	Towards Hallucinating Machines - Designing with Computational Vision
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 88–103
summary	There are particular similarities in how machines learn about the nature of their environment, and how humans learn to process visual stimuli. Machine Learning (ML), more specifically Deep Neural network algorithms rely on expansive image databases and various training methods (supervised, unsupervised) to “make sense” out of the content of an image. Take for example how students of architecture learn to differentiate various architectural styles. Whether this be to differentiate between Gothic, Baroque or Modern Architecture, students are exposed to hundreds, or even thousands of images of the respective styles, while being trained by faculty to be able to differentiate between those styles. A reversal of the process, striving to produce imagery, instead of reading it and understanding its content, allows machine vision techniques to be utilized as a design methodology that profoundly interrogates aspects of agency and authorship in the presence of Artificial Intelligence in architecture design. This notion forms part of a larger conversation on the nature of human ingenuity operating within a posthuman design ecology. The inherent ability of Neural Networks to process large databases opens up the opportunity to sift through the enormous repositories of imagery generated by the architecture discipline through the ages in order to find novel and bespoke solutions to architectural problems. This article strives to demystify the romantic idea of individual artistic design choices in architecture by providing a glimpse under the hood of the inner workings of Neural Network processes, and thus the extent of their ability to inform architectural design.The approach takes cues from the language and methods employed by experts in Deep Learning such as Hallucinations, Dreaming, Style Transfer and Vision. The presented approach is the base for an in-depth exploration of its meaning as a cultural technique within the discipline. Culture in the extent of this article pertains to ideas such as the differentiation between symbolic and material cultures, in which symbols are defined as the common denominator of a specific group of people.1 The understanding and exchange of symbolic values is inherently connected to language and code, which ultimately form the ingrained texture of any form of coded environment, including the coded structure of Neural Networks.A first proof of concept project was devised by the authors in the form of the Robot Garden. What makes the Robot Garden a distinctively novel project is the motion from a purely two dimensional approach to designing with the aid of Neural Networks, to the exploration of 2D to 3D Neural Style Transfer methods in the design process.
keywords	Artificial intelligence, design agency, neural networks, machine learning, machine vision
series	journal
email
last changed	2021/06/03 23:29

_id	cdrf2021_275
id	cdrf2021_275
authors	E. Özdemir, L. Kiesewetter, K. Antorveza, T. Cheng, S. Leder, D. Wood, and A. Menges
year	2021
title	Towards Self-shaping Metamaterial Shells: A Computational Design Workflow for Hybrid Additive Manufacturing of Architectural Scale Double-Curved Structures
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_26
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Double curvature enables elegant and material-efficient shell structures, but their construction typically relies on heavy machining, manual labor, and the additional use of material wasted as one-off formwork. Using a material’s intrinsic properties for self-shaping is an energy and resource-efficient solution to this problem. This research presents a fabrication approach for self-shaping double-curved shell structures combining the hygroscopic shape-changing and scalability of wood actuators with the tunability of 3D-printed metamaterial patterning. Using hybrid robotic fabrication, components are additively manufactured flat and self-shape to a pre-programmed configuration through drying. A computational design workflow including a lattice and shell-based finite element model was developed for the design of the metamaterial pattern, actuator layout, and shape prediction. The workflow was tested through physical prototypes at centimeter and meter scales. The results show an architectural scale proof of concept for self-shaping double-curved shell structures as a resource-efficient physical form generation method.
series	cdrf
email
last changed	2022/09/29 07:53

_id	sigradi2021_134
id	sigradi2021_134
authors	Uzun, Can
year	2021
title	What can Colors and Shapes Tell about Generative Adversarial Networks?
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 161–171
summary	The study aims to understand the how’s and what’s of creating an architectural dataset for generative adversarial nets through the evaluation of the effects of colors and shapes in image datasets on generative adversarial nets. Throughout the paper, six generative adversarial network training sessions are conducted on DCGAN and context-encoder algorithms with three different datasets having different complexities for colors and shapes. Firstly the color and shape complexities are analyzed for datasets. For color complexity, heuristic analyze is applied and for shape complexity, gray level occurrence matrix entropy which gives the textural complexity is utilized. In the end, the complexities and the training results are evaluated. Results show that color complexity has an important role for generative adversarial networks to generate colors correctly. Regularity in shape complexity /gray level co-occurrence matrix entropy distribution facilitates the algorithm training and shape generating processes.
keywords	Context-Encoder, GAN, Colors, Shapes
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	ecaade2022_175
id	ecaade2022_175
authors	Di Carlo, Raffaele, Mittal, Divyae and Vesely, Ondrej
year	2022
title	Generating 3D Building Volumes for a Given Urban Context using Pix2Pix GAN
doi	https://doi.org/10.52842/conf.ecaade.2022.2.287
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 287–295
summary	Our ability to delegate the most intellectually demanding tasks to machines improves with each passing day. Even in the fields of architecture and design, which were previously thought to be exclusive domain of human creativity and flare, we are moving the first steps towards developing models that can capture the patterns, invisible to the naked eye, embedded in the creative process. These patterns reflect ideas and traditions, imprinted in the collective mind over the course of history, that can be improved upon or serve as a cautionary tale for the new generation of designers in their work of designing an equitable, more inclusive future. Generative Adversarial Networks (GANs) give us the opportunity to turn style and design into learnable features that can be used to automatically generate blueprints and layouts. In this study, we attempt to apply this technology to urban design and to the task of generating a building footprint and volume that fits within the surrounding built environment. We do so by developing a Pix2Pix model composed of a ResNet-6 generator and a Patch discriminator, applying it to satellite views of neighborhoods from across the Netherlands, and then turning the resulting 2D generated building footprint into a reusable 3D model. The model is trained using the national cadastral data and TU Delft 3D BAG dataset. The results show that it is possible to predict a building shape compatible in style and height with the surroundings. Although the model can be used for different applications, we use it as an evaluation tool to compare the design alternatives fitting the desired contextual patterns.
keywords	Generative Adversarial Networks, Urban Design, Pix2Pix, Raster Vectorization, 3D Rendering
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2024_234
id	ecaade2024_234
authors	Mueller, Lisa-Marie; Andriotis, Charalampos; Turrin, Michela
year	2024
title	Using Generative Adversarial Networks to Create 3D Building Geometries
doi	https://doi.org/10.52842/conf.ecaade.2024.1.479
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 479–488
summary	Generative Artificial Intelligence (AI) promises to make a vast impact across disciplines, including transforming the architectural design process by autonomously generating full building geometries. One form of generative deep learning that has been used to create 2D and 3D representations of objects is Generative Adversarial Networks (GANs). Existing literature, however, has limited applications that utilize 3D data for building geometry generation, with previous studies focused on low-scale 3D geometries suitable for objects such as chairs or cars. This paper develops a new GAN architecture to produce high-resolution feasible building geometry. The training dataset used is a selection of 3D models of single-family homes from an existing database, pre-processed for the specific application. State-of-the-art GAN models are initially tested to establish baseline performance and applicability potential. Then, a systematic study is performed to identify the structure and hyperparameters necessary to successfully fit a GAN to this design task. The successful architecture, named 3DBuildingGAN, uses a combination of Wasserstein loss with gradient penalty, leaky rectified linear units for neuron activation in the generator and the critic, and the root mean squared propagation optimizer with a fixed learning rate. The proposed model generates outputs similar in size, shape, and proportion to the training data with minimal noise in the output. Evaluation of memorization properties indicates open research directions, such as incorporating memorization rejection and training on larger data sets. Finally, the study reflects on how AI algorithms can reshape creativity through data-driven design solutions.
keywords	3D Generative Adversarial Networks, Deep Learning, Artificial Intelligence
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ascaad2021_151
id	ascaad2021_151
authors	Allam, Samar; Soha El Gohary, Maha El Gohary
year	2021
title	Surface Shape Grammar Morphology to Optimize Daylighting in Mixed-Use Building Skin
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 479-492
summary	Building Performance simulation is escalating towards design optimization worldwide utilizing computational and advanced tools. Egypt has its plan and agenda to adopt new technologies to mitigate energy consumption through various sectors. Energy consumption includes electricity, crude oil, it encompasses renewable and non-renewable energy consumption. Egypt Electricity (EE) consumption by sector percentages is residential (47%), industrial (25%) and commercial (12%), with the remainder used by government, agriculture, public lighting and public utilities (4%). Electricity building consumption has many divisions includes HVAC systems, lighting, Computers and Electronics and others. Lighting share of electricity consumption can vary from 11 to 15 percent in mixed buildings as in our case study which definitely less that the amount used for HVAC loads. This research aims at utilizing shape morphogenesis on facades using geometric shape grammar to enhance daylighting while blocking longwave radiations causing heat stress. Mixed-use building operates in daytime more than night which emphasizes the objective of this study. Results evaluation is referenced to LEED v4.1 and ASHRAE 90.1-2016 window-to-wall ratio calibration and massive wall description. Geometric morphogenesis relies on three main parameters; Pattern (Geometry Shape Grammar: R1, R2, and R3), a reference surface to map from, and a target surface to map to which is the south-western façade of the case study. Enhancing Geo-morph rule is to guarantee flexibility due to the rotation of sun path annually with different azimuth and altitude angles and follow LEED V4.1 enhancements of opaque wall percent for building envelope.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ecaade2021_060
id	ecaade2021_060
authors	Antinozzi, Sara, Ronchi, Diego, Fiorillo, Fausta and Barba, Salvatore
year	2021
title	3Dino: Configuration for a Micro-Photogrammetric Survey - Applying Dino-Lite microscope for the digitalization of a cuneiform tablet
doi	https://doi.org/10.52842/conf.ecaade.2021.2.211
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. 211-222
summary	Close-range photogrammetry, due to the possibilities offered by the technological evolution of acquisition tools and, above all, the relative original challenges posed to surveyors and the theory of measurements, deserve constant critical attention. The new opportunities to detect and represent reality are mostly focused on historical architecture, referring to consequent orders of magnitude and restitution scales. On the other hand, the formalization of relevant practices for very small objects is not frequently addressed. In recent tests carried out using two Dino-Lite handheld digital microscope models, polarized light digital microscopes generally used in medical and industrial fields, we proved the potential of using these imaging systems also for Cultural Heritage documentation, highlighting, however, some issues related to the depth of field and the consequent acquisition geometry. Therefore, this study aims to solve these problems, increasing the performance of microscopic photogrammetry by optimizing the acquisition procedures with the design of custom accessories for micro-photogrammetry (e.g. a calibrated plate). These developments will be carried out as part of a technology transfer agreement with the Dino-Lite company pointed to codify a protocol for high accuracy photogrammetric documentation of small artefacts.
keywords	Digital Heritage; Small artefacts; Detailed 3D shape; Handheld microscope
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2021_28
id	sigradi2021_28
authors	Atsumi, Kei, Hanazato, Toshihiro and Kato, Osamu
year	2021
title	The Assembly and Fabrication of Double Curved Panel Structure Using Japanese wood Joints created by Desktop 3D Printers
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1245–1255
summary	This research presents a new direction for freeform structure assembly and fabrication through the collaboration of 3D printing technology and Japanese wood joining technology. Full-scale, self-build prototyping is demonstrated without glue or metal fittings. Rather than relying on digital fabrication machines to match the architectural scale, this study utilizes the Fused Filament Fabrication (FFF) with desktop 3D printers, which is the most widespread and inexpensive printing technology. By incorporating the perspectives of wood joinery and compact 3D printers, this study promotes a drastic change in 3D printed architectural production from a massive structure-oriented system to a module-oriented system. The project demonstrates how artisanal knowledge integrates with 3D printing architectural production by reconfiguring joint geometry, parametric modeling, fabrication, and assembly processes. We discuss our research process and final achievements, and we provide new ideas for architectural production using digital fabrication.
keywords	Digital fabrication, Assembly, Japanese wood joints, 3D printing, Double- curved panel structure
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_005
id	caadria2021_005
authors	Bedarf, Patrick, Martinez Schulte, Dinorah, Åženol, AyÃ§a, Jeoffroy, Etienne and Dillenburger, Benjamin
year	2021
title	Robotic 3D Printing of Mineral Foam for a Lightweight Composite Facade Shading Panel
doi	https://doi.org/10.52842/conf.caadria.2021.1.603
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 603-612
summary	This paper presents the design and fabrication of a lightweight composite facade shading panel using 3D printing (3DP) of mineral foams. Albeit their important role in industrial construction practice as insulators and lightweight materials, only little research has been conducted to use foams in 3DP. However, the recent development of highly porous mineral foams that are very suitable for extrusion printing opens a new chapter for development of geometrically complex lightweight building components with efficient formwork-free additive manufacturing processes. The work documented in this paper was based on preliminary material and fabrication development of a larger research endeavor and systematically explored designs for small interlocking foam modules. Furthermore, the robotic 3D Printing setup and subsequent processing parameters were tested in detail. Through extensive prototyping, the design space of a final demonstrator shading panel was mapped and refined. The design and fabrication process is documented and shows the potential of the novel material system in combination with fiber-reinforced ultra-high performance concrete (UHPC). The resulting composite shading panel highlights the benefits of using mineral foam 3DP to fabricate freeform stay-in-place formwork for lightweight facade applications. Furthermore, this paper discusses the challenges and limitations encountered during the project and gives a conclusive outlook for future research.
keywords	robotic 3d-printing; mineral foam; lightweight construction; concrete formwork; facade shading panel
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2021_37
id	sigradi2021_37
authors	Bevilacqua, Flavio
year	2021
title	Augmented Reality and cardboard models: new possibilities for the design of interior spaces and furniture based on the link between analog and digital
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 501–510
summary	The purpose of this experience consisted of linking two methodologies usually used exclusively in the study of the design operation in the university academic environment: working with cardboard models and augmented reality. The methodology used consisted of work in groups based on skills to build cardboard models, to model in 3D, and to work with augmented reality. They developed interior space designs through the interaction of physical models (made of cardboard) and observed models on those physical models through systems equipped with applications to view augmented reality. Among the main results of this experience are the possibility of interacting with dynamic objects modeled in 3D in the physical field of the cardboard model, and the successful integration of two work methodologies (analog and digital), at least in one of the stages of the design operation.
keywords	REALIDAD AUMENTADA. OPERACIÓN DE DISEnO. DISEnO DE INTERIORES. MAQUETAS.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	acadia21_400
id	acadia21_400
authors	Bruce, Mackenzie; Clune, Gabrielle; Xie, Ruxin; Mozaffari, Salma; Adel, Arash
year	2021
title	Cocoon: 3D Printed Clay Formwork for Concrete Casting
doi	https://doi.org/10.52842/conf.acadia.2021.400
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. 400-409.
summary	Concrete, a material widely used in the construction industry today for its low cost and considerable strength as a composite building material, allows designers to work with nearly any form imaginable; if the technology to build the formwork is possible. By combining two historic and widely used materials, clay and concrete, our proposed novel process, Cocoon, integrates robotic clay three-dimensional (3D) printing as the primary formwork and incrementally casting concrete into this formwork to fabricate nonstandard concrete elements. The incremental casting and printing process anchors the concrete and clay together, creating a symbiotic and harmonious relationship. The concrete’s fluidity takes shape from the 3D printed clay formwork, allowing the clay to gain structure from the concrete as it cures. As the clay loses moisture, the formwork begins to shrink, crack, and reveal the concrete below. This self-demolding process produces easily removable formwork that can then be recycled by adding water to rehydrate the clay creating a nearly zero-waste formwork. This technique outlines multiple novel design features for complex concrete structures, including extended height limit, integrated void space design, tolerable overhang, and practical solutions for clay deformation caused by the physical stress during the casting process. The novelty of the process created by 3D printing clay formwork using an industrial robotic arm allows for rapid and scalable production of nearly zero-waste customizable formwork. More significant research implications can impact the construction industry, integrating more sustainable ways to build, enabled by digital fabrication technologies.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_333
id	ecaade2021_333
authors	Burger, Joris, Wangler, Timothy, Chiu, Yu-Hung, Techathuvanun, Chanon, Gramazio, Fabio, Kohler, Matthias and Lloret-Fritschi, Ena
year	2021
title	Material-informed Formwork Geometry - The effects of cross-sectional variation and patterns on the strength of 3D printed eggshell formworks
doi	https://doi.org/10.52842/conf.ecaade.2021.2.199
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. 199-208
summary	Fused deposition modelling (FDM) 3D printing of formworks for concrete has the potential to increase geometric freedom in concrete construction. However, one major limitation of FDM printed formworks is that they are fragile and often cannot support the hydrostatic pressure exerted by the concrete. The research project 'Eggshell' combines robotic 3D printing of formwork with the casting of a fast-hardening concrete to reduce hydrostatic pressure to a minimum. Eggshell can be used to fabricate architectural-scale building components; however, knowledge of the influence formwork geometry has on the hydrostatic pressure resistance is still sparse, resulting in unexpected breakages of the formwork. This paper presents an empirical study into the breakage behaviour of FDM printed formworks when subjected to hydrostatic pressure. Firstly, the study aims to give a first insight into the breakage behaviour of formworks with a constant cross-section by casting a self-compacting concrete into the formwork until breakage. Then, we investigate if three-dimensional patterning of the formwork can have a beneficial effect on the breakage behaviour. Finally, the preliminary results are validated through the fabrication of two full-scale columns. The empirical results point towards the fact that sharp corners in formworks are weaker compared to rounded corners. Although the presented results are still preliminary, they mark an important step in the development of reliable design and fabrication strategies using 3D printed formworks.
keywords	3D Printing; Formwork; Fused Deposition Modelling; Digital Concrete; Hydrostatic pressure; Eggshell
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2021_136
id	caadria2021_136
authors	Carallo, Marinella
year	2021
title	Office building design in Hong Kong Island through shape optimization
doi	https://doi.org/10.52842/conf.caadria.2021.1.441
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 441-450
summary	Dealing with crucial decision-making process has led to the development of many different methods of multicriteria assessments, especially optimization methodologies. This work is mainly focused on the integration of advanced computational design and digital methods, to design a complex building shape resulting in a performance-based approach through optimization methodologies. The project consists of the design of a skyscraper in Hong Kong Island made through parametrically controlled shape and evaluated respect to light and wind to reduce Urban Heat Island phenomena and enhance liveability. The aim is to find out a unique methodology that can be applied to different cases by making small adaptations regarding the parametrization and the parameters involved. The design is divided into two stages that need to arrange the methodology at different levels throughout the workflow. For this reason, it is mandatory to adapt inputs to the algorithm according to the goal. The result is a skyscraper placed in the financial district of Hong Kong, which has both the features of a Grade A Office building and can mitigate the UHI effect thanks to its particular and optimized shape.
keywords	shape optimization; Computational design; Genetic Algorithm; UHI effect; ventilation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2021_279
id	ecaade2021_279
authors	Coraglia, Ugo Maria, Zhu, Zhelun, Fioravanti, Antonio, Simeone, Davide and Cursi, Stefano
year	2021
title	A new Relation Matrix as a Fruitful Meta-Design Tool - How to overcome typological limits
doi	https://doi.org/10.52842/conf.ecaade.2021.1.295
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 295-302
summary	The use of meta-design tools to support the early stages of the design process is widely proven in literature. Among these tools, the adjacency matrix and the bubble diagram provided the various professionals involved - not only in the AEC sector - with some useful information mainly regarding the connection types between spaces and the sizing of their dimensions. With the evolution of design and the change of architectural aims (e.g. sustainability, refurbishment), it is not fruitful, especially related to complex buildings (e.g. hospital, airport), to manage spaces and their connections through the traditional Adjacency Matrix and its dual (Bubble Diagram). These tools, used as they were originally designed, do not consider other characteristics but basic topological ones and are still linked to 2D geometry. For this reason, this research aims to increase the unexplored design potential of these tools considering huge advances in building object representation and links with knowledge. The first research steps led to a 3D analysis capable of providing knowledge on the connections and adjacencies between spaces and its environments located on different floors. Therefore, we decided to define further goals, breaking limits of the "adjacency" concept for a more extendable and general concept of "relation" between spaces and environments.
keywords	Relation Matrix; Meta-design; Architectural design theory; Tool
series	eCAADe
email
last changed	2022/06/07 07:56

_id	sigradi2021_29
id	sigradi2021_29
authors	Delgado, Maria and Collins, Jeffrey
year	2021
title	Otavalo Textile Grammar: Patterns and Dialogues
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 669–683
summary	This paper focuses on the woven textiles of Otavalo, Ecuador, as a case study for improved cultural representation in architectural design. A shape grammar methodology is used to identify specific geometry and elucidate relationship rules found in existing artifacts. These geometry and relationships are subsequently used to produce patterns; both replicas of traditional tapestries as well as new configurations. Extending from 2D to 3D and from digital to physical, sets of modular prototypes are developed based on patterns produced using the defined Otavalo Textile Grammar. Model parts are supplied to study participants; new building blocks for architecture as a spatial and social undertaking.
keywords	maker culture, design computation, shape grammars, digital craft
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_160
id	caadria2021_160
authors	Ding, Jie and Xiang, Ke
year	2021
title	The influence of spatial geometric parameters of Glazed-atrium on office building energy consumption in the hot summer-warm winter region of China
doi	https://doi.org/10.52842/conf.caadria.2021.1.391
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 391-400
summary	To investigate the influence of the spatial geometric parameters of glazed-atrium on building energy consumption, this study established a prototypical office building model in the hot summer-warm winter region in China, and simulated the effect of energy consumption of six selected factors based on orthogonal experimental design (OED). Through the statistical analysis, the results showed that the floor height and the skylight-roof ratio were the most important parameters affecting the total energy consumption, with the contribution rates of 55.5% and 18.2%, followed by the section shape parameter and the plane orientation. In addition, the floor height and the section shape parameter were closely related to the cooling load and the lighting load, respectively, and both energy consumption could be reduced to a lower degree when the atrium inner interface window-wall ratio was 60%. Finally, the optimized parameter combination and energy-saving design strategies were proposed. This study provides architects with a simplified energy evaluation of atrium spatial geometric parameters in the early design stage, and it has an important guiding significance for the sustainable development of office buildings in the future.
keywords	Energy consumption; Spatial geometric factors; Glazed atrium; Office building; Hot summerâ€“warm winter region
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ascaad2021_083
id	ascaad2021_083
authors	El-Dabaa, Rana; Islam Salem, Sherif Abdelmohsen
year	2021
title	Digitally Encoded Wood: 4D Printing of Hygroscopic Actuators for Architectural Responsive Skins
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 241-252
summary	This paper exploits passive responsive actuators as a passive approach for adaptive façades. The study encodes the embedded hygroscopic parameters of wood through 4D printing of laminated wooden composites as a responsive wooden actuator. Several experiments focus on controlling the printed hygroscopic parameters based on the effect of 3D printing patterns and infill height on the wooden angle of curvature. We present a set of controlled printed hygroscopic parameters that stretch the limits in controlling the response of wood to humidity instead of the typical natural properties of wood. The results show a passive programmed self-actuated mechanism that can enhance responsive façade design with zero energy consumption through utilizing both material science and additive manufacturing mechanisms. This passive responsive mechanism can be utilized in adaptive facades for dynamic shading configurations.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	sigradi2021_176
id	sigradi2021_176
authors	Escaleira, Cláudia, Morais, António, Figueiredo, Bruno and Cruz, Paulo
year	2021
title	Reuse of Ceramic Roof Tiles: Enhancing New Functional Design Possibilities Through the Integration of Digital Tools for Simulation, Manufacture and Assembly
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1475–1486
summary	The material qualities of ceramic roof tiles have provided new formal interpretations that induced a new functional use—a wall. By disassembling ceramic roof tiles from roofs and assembling them into walls, its circularity potential was enlarged. This paper explores the potential use of ceramic roof tiles, as a single element type, in the definition of wall design systems and patterns of composition that comply with design for manufacture, assembly and disassembly (DfMA-D) requirements, through the development of a shape grammar and implementation through parametric models. The new shape grammar extends the compositional patterns already produced and the redefinition of the connection systems by incorporating DfMA-D requirements into the shape grammar rules sets new combinatorial patterns aligned with European Union goals for building circularity. The parametric models automate the generation of design solutions and extend the design process to the assembly and disassembly stages using robotic fabrication techniques.
keywords	circular building, component reuse, computational design, ceramic roof tiles, robotics in architecture
series	SIGraDi
email
last changed	2022/05/23 12:11

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