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

PDF papers
References

Hits 1 to 20 of 109

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

_id	acadia16_270
id	acadia16_270
authors	Korner, Axel; Mader, Anja; Saffarian, Saman; Knippers, Jan
year	2016
title	Bio-Inspired Kinetic Curved-Line Folding for Architectural Applications
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp.270-279
doi	https://doi.org/10.52842/conf.acadia.2016.270
summary	This paper discusses the development of a bio-inspired compliant mechanism for architectural applications and explains the methodology of investigating movements found in nature. This includes the investigation of biological compliant mechanisms, abstraction, and technical applications using computational tools such as finite element analysis (FEA). To demonstrate the possibilities for building envelopes of complex geometries, procedures are presented to translate and alter the disclosed principles to be applicable to complex architectural geometries. The development of the kinetic façade shading device flectofold, based on the biological role-model Aldrovanda vesiculosa, is used to demonstrate the process. The following paper shows results of FEA simulations of kinetic curved-line folding mechanisms with pneumatic actuation and provides information about the relationship between varying geometric properties (e.g. curved-line fold radii) and multiple performance metrics, such as required actuation force and structural stability.
keywords	composite forming process, form-finding, biomimetics and biological design, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ecaade2016_098
id	ecaade2016_098
authors	Bia³kowski, Sebastian
year	2016
title	Structural Optimisation Methods as a New Toolset for Architects
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 255-264
doi	https://doi.org/10.52842/conf.ecaade.2016.2.255
wos	WOS:000402064400025
summary	The paper focuses on possibilities of already known engineering procedures such as Finite Element Method or Topology Optimisation for effective implementation in architectural design process. The existing attempts of complex engineering algorithms implementation, as a form finding approach will be discussed. The review of architectural approaches utilising engineering methods will be supplemented by the author's own solution for that particular problem. By intersecting architectural form evaluation with engineering analysis complemented by optimisation algorithms, the new quality of contemporary architecture design process may appears.
keywords	topology optimization; design support tools; complex geometries; finite element method; CUDA
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2016_637
id	sigradi2016_637
authors	Castro Arenas, Cristhian; Miralles, Monica
year	2016
title	Naturaleza, Sinergia, Tensegridad y Biotensegridad, ?es 1 + 1 = 4? [Nature, Sinergy, Tensegrity and Biotensegrity, ?is 1 + 1 = 4?]
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.118-122
summary	The optimization of resources in nature has stimulated the creation of strategies to facilitate the interchange of energy, matter and information. Observation of these natural phenomena allowed Fuller to develop the concept of Tensegrity Systems in the 50's, generating a growing integration of multidisciplinary views on this subject. In this paper Tensegrity is postulated, given its peculiar synergistic qualities, as a paradigmatic and emergent concept in the projectual disciplines, both as a type of system displaying reciprocal interactions between a given number of nodes, and as a structural system with potential applications in multiple, evolving, scientific-technological fields.
keywords	Sinergy; Tensegrity; Biotensegrity; Fuller; Systems
series	SIGRADI
email
last changed	2021/03/28 19:58

_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	caadria2016_415
id	caadria2016_415
authors	Crolla, Kristof and Adam Fingrut
year	2016
title	Protocol of Error: The design and construction of a bending-active gridshell from natural bamboo
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 415-424
doi	https://doi.org/10.52842/conf.caadria.2016.415
summary	This paper advocates alternative methods to overcome the impossibility of realising ‘perfect’ digital designs. It discusses Hong Kong’s 2015 ‘ZCB Bamboo Pavilion’ as a methodological case study for the design and construction of architecture from unprocessed natu- ral bamboo. The paper critically evaluates protocols set up to deal with errors resulting from precise digital design systems merging with inconsistent natural resources and onsite craftsmanship. The paper starts with the geometric and tectonic description of the project, illus- trating a complex and restrictive construction context. Bamboo’s unique growth pattern, structural build-up and suitability as a bending- active material are discussed and Cantonese bamboo scaffolding craftsmanship is addressed as a starting point for the project. The pa- per covers protocols, construction drawings and assembly methods developed to allow for the incorporation and of large building toler- ances and dimensional variation of bamboo. The final as-built 3d scanned structure is compared with the original digital model. The pa- per concludes by discussing the necessity of computational architec- tural design to proactively operate within a field of real-world inde- terminacy, to focus on the development of protocols that deal with imperfections, and to redirect design from the virtual world towards the latent opportunities of the physical.
keywords	Bamboo; bending-active gridshells; physics simulation; form-finding; indeterminacy
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2016_078
id	ecaade2016_078
authors	Das, Subhajit, Zolfagharian, Samaneh, Nourbakhsh, Mehdi and Haymaker, John
year	2016
title	Integrated Spatial-Structural Optimization in the Conceptual Design Stage of Project - A tool to generate and optimize design solutions aiding informed decision making for Architects, Engineers and Stakeholders
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 117-126
doi	https://doi.org/10.52842/conf.ecaade.2016.2.117
wos	WOS:000402064400011
summary	Healthcare design projects require the careful integration of spatial and structural requirements. Today, design teams typically resolve these requirements in two separate, largely sequential steps. In the first step, architects leverage their experience and vision to develop space plans that address program and goals. Next, based on the architect's recommended design, engineers generate and refine a structural design to address structural requirements. This manual process produces a very limited number of non optimal spatial and structural design solutions with unclear decision rationale. This paper presents the Integrated Spatial-Structural Optimization (ISSO) decision making methodology. ISSO supports design teams by helping them generate, analyze, and manage a vast number of integrated spatial and structural solutions. ISSO features a bi-level optimization workflow that has been customized for spatial and structural design of healthcare facilities. The paper describes implementation in the Dynamo parametric modeling platform, and retrospective validation of the algorithm and workflow on an industry case study to demonstrate how ISSO can help design teams generate, analyze, and manage more conceptual design options.
keywords	Spatial Design; Generative Design; Design Optimization; Facility Planning; Design Tools; Design Automation
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2017_046
id	ecaade2017_046
authors	Ezzat, Mohammed
year	2017
title	Implementing the General Theory for Finding the Lightest Manmade Structures Using Voronoi and Delaunay
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. 241-250
doi	https://doi.org/10.52842/conf.ecaade.2017.2.241
summary	In previous efforts, the foundation of a general theory that searches for finding lightest manmade structures using the Delaunay diagram or its dual the Voronoi diagram was set (Ezzat, 2016). That foundation rests on using a simple and computationally cheap Centroid method. The simple Centroid method is expected to play a crucial role in the more sophisticated general theory. The Centroid method was simply about classifying a cloud of points that represents specific load case/s stresses on any object. That classification keeps changing using mathematical functions until optimal structures are found. The point cloud then is classified into different smaller points' groups; each of these groups was represented by a single positional point that is related to the points' group mean. Those representational points were used to generate the Delaunay or Voronoi diagrams, which are tested structurally to prove or disprove the optimality of the classification. There was not a single optimized classification out of that process but rather a family of them. The point cloud was the input to the centroid structural optimization, and the family of the optimized centroid method is the input to our proposed implementation of the general theory (see Figure 1). The centroid method produced promising optimized structures that performed from five to ten times better than the other tested variations. The centroid method was implemented using the two structural plugins of Millipede and Karmaba, which run under the environment of the Grasshopper plugin. The optimization itself is done using the grasshopper's component of Galapagos.
keywords	Agent-based structural optimization; Evolutionary conceptual tree representation; Heuristic structural knowledge acquisition ; Centroid structural classification optimization method
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia16_72
id	acadia16_72
authors	Harrison, Paul
year	2016
title	What Bricks Want: Machine Learning and Iterative Ruin
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 72-77
doi	https://doi.org/10.52842/conf.acadia.2016.072
summary	Ruin has a bad name. Despite the obvious complications, failure provides a rich opportunity—how better to understand a building’s physicality than to watch it collapse? This paper offers a novel method to exploit failure through physical simulation and iterative machine learning. Using technology traditionally relegated to special effects, we can now understand collapse on a granular level: since modern-day physics engines track object-object collisions, they enable a close reading of the spatial preferences that underpin ruin. In the case of bricks, that preference is relatively simple—to fall. By idealizing bricks as rigid bodies, one can understand the effects of gravitational force on each individual brick in a masonry structure. These structures are sometimes able to ‘settle,’ resulting in a stable equilibrium state; in many cases, it means that they will simply collapse. Analyzing ruin in this way is informative, to be sure, but it proves most useful when applied in series. The evolutionary solver described in this paper closely monitors the performance of constituent bricks and ensures that the most successful structures are emulated by later generations. The tool consists of two parts: a user interface for design and the solver itself. Once the architect produces a potential design, the solver performs an evolutionary optimization; after a few hundred iterations, the end result is a structurally sound version of the unstable original. It is hoped that this hybrid of top-down and bottom-up design strategies offers an architecture that is ultimately strengthened by its contingencies.
keywords	rigid body analysis, machine learning, multi-agent structural optimization, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	ecaade2016_094
id	ecaade2016_094
authors	Kontovourkis, Odysseas and Konatzii, Panagiota
year	2016
title	Optimization Process Towards Robotic Manufacturing in Actual Scale - The Implementation of Genetic Algorithms in the Robotic Construction of Modular Formwork Systems
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 169-178
doi	https://doi.org/10.52842/conf.ecaade.2016.1.169
wos	WOS:000402063700019
summary	The application of optimization processes in architectural design has gained significant attention among architects and recently has become a driving force towards more robust, reliable as well as flexible design investigations. Such application, require handling of multiple parameters, aiming at finding the range of possible solutions in morphological or topological problems of optimization, mostly during the design decision-making process and under the influence of functional, environmental, structural, or other design criteria. This ongoing research investigation puts forward the hypothesis that optimization processes might be equally applied during the construction decision-making process where architectural systems are examined in terms of their ability to be statically efficient and easily manufactured through the use of robotic machines. This is important to exist within a bidirectional platform of communication where the design decision-making will inform decision taken during pre-construction stage and vise versa. In order to test our hypothesis, two case studies are developed that implements genetic algorithms to examine the geometric and static behavior as well as the construction ability of proposed flexible three-dimensional modular formworks and overall systems for concrete casting, aiming to be robotically manufactured in actual scale.
keywords	Optimization process; genetic algorithms; robotic manufacturing; modular formwork system.
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia16_382
id	acadia16_382
authors	Lopez, Deborah; Charbel, Hadin; Obuchi, Yusuke; Sato, Jun; Igarashi, Takeo; Takami, Yosuke; Kiuchi, Toshikatsu
year	2016
title	Human Touch in Digital Fabrication
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 382-393
doi	https://doi.org/10.52842/conf.acadia.2016.382
summary	Human capabilities in architecture-scaled fabrication have the potential of being a driving force in both design and construction processes. However, while intuitive and flexible, humans are still often seen as being relatively slow, weak, and lacking the exacting precision necessary for structurally stable large-scale outputs—thus, hands-on involvement in on-site fabrication is typically kept at a minimum. Moreover, with increasingly advanced computational tools and robots in architectural contexts, the perfection and speed of production cannot be rivaled. Yet, these methods are generally non-engaging and do not necessarily require a skilled labor workforce, bringing to question the role of the craftsman in the digital age. This paper was developed with the focus of leveraging human adaptability and tendencies in the design and fabrication process, while using computational tools as a means of support. The presented setup consists of (i) a networked scanning and application of human movements and human on-site positioning, (ii) a lightweight and fast-drying extruded composite material, (iii) a handheld “smart” tool, and (iv) a structurally optimized generative form via an iterative feedback system. By redistributing the roles and interactions of humans and machines, the hybridized method makes use of the inherently intuitive yet imprecise qualities of humans, while maximizing the precision and optimization capabilities afforded by computational tools—thus incorporating what is traditionally seen as “human error” into a dynamically engaging and evolving design and fabrication process. The interdisciplinary approach was realized through the collaboration of structural engineering, architecture, and computer science laboratories.
keywords	human computer interaction and design, craft in design, tool streams and tool building, cognate streams, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	ecaade2016_080
id	ecaade2016_080
authors	Panagoulia, Eleanna and Schleicher, Simon
year	2016
title	Bending-active Structures - A Case study for an Office Chaise Lounge
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 621-630
doi	https://doi.org/10.52842/conf.ecaade.2016.1.621
wos	WOS:000402063700067
summary	This paper seeks to explore the process of elastic bending in furniture design and presents a case study that demonstrates the creative and structural potential of bending-active structures as possible improvement to the current state of the art. This case study brings together design procedures, borrowed from declarative design in software engineering, architectural design, and material science in order to envision new applications for bending-active structures. It investigates how bending can be used strategically for the design of furniture scale objects and, particularly, an office chaise lounge for one person. Active-bending implementation is the key for creating structures that achieve new milestones beyond the perceived limits of material and process. Moreover, the project stands as a great opportunity for the development of a pipeline for fabrication that automates the translation of a given high-level description of a design, to the production of the data required for fabrication via a particular material system.
keywords	Bending-active structures; Matter compiler; Optimization
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ascaad2016_004
id	ascaad2016_004
authors	Peteinarelis, Alexandros; Socrates Yiannoudes
year	2016
title	Algorithmic Thinking in Design and Construction - Working with parametric models
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 19-28
summary	This paper examines the parametric model in algorithmic design processes, using the outcome of an educational digital design and fabrication course as a case study. In its long history, algorithmic design as a form-finding method, allowed designers to manage complex non-standard associative geometries, suggesting a shift from the digital representation of form, to its systematic representation into a parametric model through code. Rather than a style or a tool, the parametric model is best defined in mathematical terms; in practice it incorporates the organizational logic of the form and the topological associations of its parts, so that a change in its constitutive parameters will invoke a concerted update of the entire model, and, iteratively, formal and structural variations. In a series of design experiments that took place at the School of Architecture of the Technical University of Crete in the spring of 2015, we used parametric models represented into visual code, from the initial conceptual stage to fabrication. From the experience and outcome of this course, we deduced that, compared to other digital formation methods, parametric models allow the designer to constantly interact with the model through the code, producing discreet variations without losing control of the design intentions, by “searching” into a wide range (albeit finite) of virtual results. This suggested a shift in culturally embedded patterns of modernist design thinking.
series	ASCAAD
email
last changed	2017/05/25 13:13

_id	ijac201614103
id	ijac201614103
authors	Savov, Anton; Oliver Tessmann and Stig Anton Nielsen
year	2016
title	Sensitive Assembly: Gamifying the design and assembly of fac?ade wall prototypes
source	International Journal of Architectural Computing vol. 14 - no. 1, 30-48
summary	The article describes a method for gamifying the design and assembly of computationally integrated structures built out of discrete identical blocks. As a case study, the interactive installation Sensitive Assembly was designed and built at the Digital Design Unit (Prof. Dr Oliver Tessmann) at the Technische Universita?t of Darmstadt and exhibited during the digital art festival NODE 2015 in Frankfurt in 2015. Sensitive Assembly invites people to play a Jenga-like game: starting from a solid wall, players are asked to remove and replace the installation’s building blocks to create windows to a nurturing light while challenging its stability. A computational system that senses the current state of the wall guides the physical interaction and predicts an approaching collapse or a new light beam breaking through. The installation extends the notion of real-time feedback from the digital into the physical and uses machine-learning techniques to predict future structural behaviour.
keywords	Gamification, prediction, feedback, interaction, assembly
series	journal
last changed	2016/06/13 08:34

_id	acadia16_196
id	acadia16_196
authors	Yuan, Philip F.; Chai, Hua; Yan, Chao; Zhou, Jin Jiang
year	2016
title	Robotic Fabrication of Structural Performance-based Timber Gridshell in Large-Scale Building Scenario
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp 196-205
doi	https://doi.org/10.52842/conf.acadia.2016.196
summary	This paper investigates the potential of a digital geometry system to integrate structural performance-based design and robotic fabrication in the scenario of building a large-scale non-uniform timber shell. It argues that a synthesis of multi-objective optimization, design and construction phases is required in the realization of timber shell construction in architecture practice in order to fulfill the demands of building regulation. Confronting the structural challenge of the non-uniform shell, a digital geometry system correlates all the three phases by translating geometrical information between them. First, a series of structural simulations and experimentations with different objectives are executed to inform the particular shape and tectonic details of each shell component based on its local condition in the geometrical system. Then, controlled by the geometrical system, a hybrid process of different digital fabrication technologies, including a customized robotic timber mill, is established to enable the manufacture of the heterogeneous shell components. Ultimately, the Timber Structure Enterprise Pavilion as the demonstration and evaluation of this method is fabricated and assembled on site through a notational system to indicate the applicability of this research in practical scenarios.
keywords	robotic fabrication, geometrical information modeling, simulation and design optimization, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	caadria2017_155
id	caadria2017_155
authors	Cichocka, Judyta Maria, Browne, Will Neil and Rodriguez, Edgar
year	2017
title	Optimization in the Architectural Practice - An International Survey
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. 387-396
doi	https://doi.org/10.52842/conf.caadria.2017.387
summary	For several years great effort has been devoted to the study of Architectural Design Optimization (ADO). However, although in the recent years ADO has attracted much attention from academia, optimization methods and tools have had a limited influence on the architectural profession. The aim of the study is to reveal users' expectations from the optimization tools and define limitations preventing wide-spread adaptation of the optimization solvers in the architectural practice. The paper presents the results of the survey "Optimization in the architectural practice" conducted between December 2015 and February 2016 on 165 architectural trainees and practising architects from 34 countries. The results show that there is a need for an interactive multi-objective optimization tool, as 78% respondents declared that a multi-objective optimization is more necessary in their practice than a single objective one and 91% of them acknowledged the need for choice of promising solutions during optimization process. Finally, it has been found that daylight, structure and geometry are three top factors which architects are interested in optimizing.
keywords	Architectural Design Optimization; Optimizaiton Techniques; Generic Solvers; Multi-criteria Decision Making
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia20_238
id	acadia20_238
authors	Zhang, Hang
year	2020
title	Text-to-Form
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. 238-247.
doi	https://doi.org/10.52842/conf.acadia.2020.1.238
summary	Traditionally, architects express their thoughts on the design of 3D architectural forms via perspective renderings and standardized 2D drawings. However, as architectural design is always multidimensional and intricate, it is difficult to make others understand the design intention, concrete form, and even spatial layout through simple language descriptions. Benefiting from the fast development of machine learning, especially natural language processing and convolutional neural networks, this paper proposes a Linguistics-based Architectural Form Generative Model (LAFGM) that could be trained to make 3D architectural form predictions based simply on language input. Several related works exist that focus on learning text-to-image generation, while others have taken a further step by generating simple shapes from the descriptions. However, the text parsing and output of these works still remain either at the 2D stage or confined to a single geometry. On the basis of these works, this paper used both Stanford Scene Graph Parser (Sebastian et al. 2015) and graph convolutional networks (Kipf and Welling 2016) to compile the analytic semantic structure for the input texts, then generated the 3D architectural form expressed by the language descriptions, which is also aided by several optimization algorithms. To a certain extent, the training results approached the 3D form intended in the textual description, not only indicating the tremendous potential of LAFGM from linguistic input to 3D architectural form, but also innovating design expression and communication regarding 3D spatial information.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia16_488
id	acadia16_488
authors	Derme, Tiziano; Mitterberger, Daniela; Di Tanna, Umberto
year	2016
title	Growth Based Fabrication Techniques for Bacterial Cellulose: Three-Dimensional Grown Membranes and Scaffolding Design for Biological Polymers
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 488-495
doi	https://doi.org/10.52842/conf.acadia.2016.488
summary	Self-assembling manufacturing for natural polymers is still in its infancy, despite the urgent need for alternatives to fuel-based products. Non-fuel based products, specifically bio-polymers, possess exceptional mechanical properties and biodegradability. Bacterial cellulose has proven to be a remarkably versatile bio-polymer, gaining attention in a wide variety of applied scientific applications such as electronics, biomedical devices, and tissue-engineering. In order to introduce bacterial cellulose as a building material, it is important to develop bio-fabrication methodologies linked to material-informed computational modeling and material science. This paper emphasizes the development of three-dimensionally grown bacterial cellulose (BC) membranes for large-scale applications, and introduces new manufacturing technologies that combine the fields of bio-materials science, digital fabrication, and material-informed computational modeling. This paper demonstrates a novel method for bacterial cellulose bio-synthesis as well as in-situ self-assembly fabrication and scaffolding techniques that are able to control three-dimensional shapes and material behavior of BC. Furthermore, it clarifies the factors affecting the bio-synthetic pathway of bacterial cellulose—such as bacteria, environmental conditions, nutrients, and growth medium—by altering the mechanical properties, tensile strength, and thickness of bacterial cellulose. The transformation of the bio-synthesis of bacterial cellulose into BC-based bio-composite leads to the creation of new materials with additional functionality and properties. Potential applications range from small architectural components to large structures, thus linking formation and materialization, and achieving a material with specified ranges and gradient conditions, such as hydrophobic or hydrophilic capacity, graded mechanical properties over time, material responsiveness, and biodegradability.
keywords	programmable materials, material agency, biomimetics and biological design
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	acadia16_450
id	acadia16_450
authors	Estevez, Alberto T.
year	2016
title	Towards Genetic Posthuman Frontiers in Architecture & Design
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 450-459
doi	https://doi.org/10.52842/conf.acadia.2016.450
summary	This paper includes a brief history about the beginning of the practical application of real genetics to architecture and design. Genetics introduces a privileged point-of-view for both biology and the digital realm, and these two are the main characters (the protagonists) in our posthuman society. With all of its positive and negative aspects, the study of genetics is becoming the cornerstone of our posthuman future precisely because it is at the intersection of both fields, nature and computation, and because it is a science that can command both of them from within—one practically and the other one theoretically. Meanwhile, through genetics and biodigital architecture and design, we are searching at the frontiers of knowledge for planetary benefit. In order to enlighten us about these issues, the hero image (Figure 1) has been created within the framework of scanning electron microscope (SEM) research on the genesic level, where masses of cells organize themselves into primigenic structures. Microscope study was carried out at the same time as the aforementioned genetic research in order to find structures and to learn typologies that could be of interest for architecture, here illustrated as an alternative landscape of the future. Behind this hero image is the laboratory’s first effort to begin the real application of genetics to architecture, thereby fighti hti ng for the sustainability of our entire planet and a better world
keywords	performance in design, material agency, biomimetics and biological design, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	ecaade2016_079
id	ecaade2016_079
authors	Cheng, Chi-Li and Hou, June-Hao
year	2016
title	Biomimetic Robotic Construction Process - An approach for adapting mass irregular-shaped natural materials
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 133-142
doi	https://doi.org/10.52842/conf.ecaade.2016.1.133
wos	WOS:000402063700015
summary	Beaver dams are formed by two main processes. One is that beavers select proper woods for constructing. The other one is that streams aggregate those woods to be assembled. Using this approach to construction structure is suitable for natural environment. In this paper, we attempt to develop a construction process which is suitable for all-terrain construction robot in the future. This construction process is inspired by beavers' construction behavior in nature. Beavers select proper sticks to make the structure stable. We predict that particular properties of sticks contribute gravity-driven assembly of wood structure. Thus, we implement the system with machine learning to find proper properties of sticks to improve selection mechanism of construction process. During this construction process, 3D scanner on robotic arm scans and recognizes sticks on terrain, and then robot will select proper sticks and place them. After placement, the system will scan and record the results for learning mechanism.
keywords	Biomimetic Design; Machine Learning; Natural Material; Point Cloud Analysis; Robotic Fabrication
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ascaad2016_049
id	ascaad2016_049
authors	Abdelsabour, Inas; Heba Farouk
year	2016
title	Impact of Using Structural Models on Form Finding - Incorporating Practical Structural Knowledge into Design Studio
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 483-492
summary	Physical Models as an architectural design tool, had major effect on architecture learning process. In structural form finding, it helped in improving visual design thinking to track form creation processes during form finding design stage. The aim is to study the impact of using physical models for second year architecture students in design studios learning. By analyzing and comparing students’ performance and progress; to clarify the effect of using physical models as a tool for designing progression, followed by analytical study on the students' structural models, in order to investigate the influence of models on their design educational progress. Research achieved that there were three basic phases the students pass through during form finding process when used manual physical models that improve the students' design capability.
series	ASCAAD
email
last changed	2017/05/25 13:33

For more results click below: