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	ecaade2018_405
id	ecaade2018_405
authors	Belém, Catarina and Leit?o, António
year	2018
title	From Design to Optimized Design - An algorithmic-based approach
doi	https://doi.org/10.52842/conf.ecaade.2018.2.549
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 549-558
summary	Stringent requirements of efficiency and sustainability lead to the demand for buildings that have good performance regarding different criteria, such as cost, lighting, thermal, and structural, among others. Optimization can be used to ensure that such requirements are met. In order to optimize a design, it is necessary to generate different variations of the design, and to evaluate each variation regarding the intended criteria. Currently available design and evaluation tools often demand manual and time-consuming interventions, thus limiting design variations, and causing architects to completely avoid optimization or to postpone it to later stages of the design, when its benefits are diminished. To address these limitations, we propose Algorithmic Optimization, an algorithmic-based approach that combines an algorithmic description of building designs with automated simulation processes and with optimization processes. We test our approach on a daylighting optimization case study and we benchmark different optimization methods. Our results show that the proposed workflow allows to exclude manual interventions from the optimization process, thus enabling its automation. Moreover, the proposed workflow is able to support the architect in the choice of the optimization method, as it enables him to easily switch between different optimization methods.
keywords	Algorithmic Design; Algorithmic Analysis; Algorithmic Optimization; Lighting optimization; Black-Box optimization
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia18_216
id	acadia18_216
authors	Ahrens, Chandler; Chamberlain, Roger; Mitchell, Scott; Barnstorff, Adam
year	2018
title	Catoptric Surface
doi	https://doi.org/10.52842/conf.acadia.2018.216
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. 216-225
summary	The Catoptric Surface research project explores methods of reflecting daylight through a building envelope to form an image-based pattern of light on the interior environment. This research investigates the generation of atmospheric effects from daylighting projected onto architectural surfaces within a built environment in an attempt to amplify or reduce spatial perception. The mapping of variable organizations of light onto existing or new surfaces creates a condition where the perception of space does not rely on form alone. This condition creates a visual effect of a formless atmosphere and affects the way people use the space. Often the desired quantity and quality of daylight varies due to factors such as physiological differences due to age or the types of tasks people perform (Lechner 2009). Yet the dominant mode of thought toward the use of daylighting tends to promote a homogeneous environment, in that the resulting lighting level is the same throughout a space. This research project questions the desire for uniform lighting levels in favor of variegated and heterogeneous conditions. The main objective of this research is the production of a unique facade system that is capable of dynamically redirecting daylight to key locations deep within a building. Mirrors in a vertical array are individually adjusted via stepper motors in order to reflect more or less intense daylight into the interior space according to sun position and an image-based map. The image-based approach provides a way to specifically target lighting conditions, atmospheric effects, and the perception of space.
keywords	full paper, non-production robotics, representation + perception, performance + simulation, building technologies
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaade2018_232
id	ecaade2018_232
authors	Al Bondakji, Louna, Chatzi, Anna-Maria, Heidari Tabar, Minoo, Wesseler, Lisa-Marie and Werner, Liss C.
year	2018
title	VR-visualization of High-dimensional Urban Data
doi	https://doi.org/10.52842/conf.ecaade.2018.2.773
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 773-780
summary	The project aims to investigate the possibility of VR in a combination of visualizing high-dimensional urban data. Our study proposes a data-based tool for urban planners, architects, and researchers to 3D visualize and experience an urban quarter. Users have a possibility to choose a specific part of a city according to urban data input like "buildings, streets, and landscapes". This data-based tool is based on an algorithm to translate data from Shapefiles (.sh) in a form of a virtual cube model. The tool can be scaled and hence applied globally. The goal of the study is to improve understanding of the connection and analysis of high-dimensional urban data beyond a two-dimensional static graph or three-dimensional image. Professionals may find an optimized condition between urban data through abstract simulation. By implementing this tool in the early design process, researchers have an opportunity to develop a new vision for extending and optimizing urban materials.
keywords	Abstract Urban Data Visualization; Virtual Reality; Geographical Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2018_181
id	caadria2018_181
authors	Chun, Junho, Lee, Juhun and Park, Daekwon
year	2018
title	TOPO-JOINT - Topology Optimization Framework for 3D-Printed Building Joints
doi	https://doi.org/10.52842/conf.caadria.2018.1.205
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 205-214
summary	Joints and connectors are often the most complex element in building assemblies and systems. To ensure the performance of the assemblies and systems, it is critical to optimize the geometry and configurations of the joints based on key functional requirements (e.g., stiffness and thermal exchange). The proposed research focuses on developing a multi-objective topology optimization framework that can be utilized to design highly customized joints and connections for building applications. The optimized joints that often resemble tree structures or bones are fabricated using additive manufacturing techniques. This framework is built upon the integration of high-fidelity topology optimization algorithms, additive manufacturing, computer simulations and parametric design. Case studies and numerical applications are presented to demonstrate the validity and effectiveness of the proposed optimization and additive manufacturing framework. Optimal joint designs from a variety of architectural and structural design considerations, such as stiffness, thermal exchange, and vibration are discussed to provide an insightful interpretation of these interrelationships and their impact on joint performance.
keywords	Topology optimization; parametric design; 3d printing
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2018_399
id	ecaade2018_399
authors	Cutellic, Pierre
year	2018
title	UCHRON - An Event-Based Generative Design Software Implementing Fast Discriminative Cognitive Responses from Visual ERP BCI
doi	https://doi.org/10.52842/conf.ecaade.2018.2.131
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 131-138
summary	This research aims at investigating BCI technologies in the broad scope of CAAD applications exploiting early visual cognition in computational design. More precisely, this paper will describe the investigation of key BCI and ML components for the implementation and development of a software supporting this research : Uchron. It will be organised as follows. Firstly, it will introduce the pursued interest and contribution that visual-ERP EEG based BCI application for Generative Design may provide through a synthetic review of precedents and BCI technology. Secondly, selected BCI components will be described and a methodology will be presented to provide an appropriate framework for a CAAD software approach. This section main focus is on the processing component of the BCI. It distinguishes two key aspects of discrimination and generation in its design and proposes a new model based on GAN for modulated adversarial design. Emphasis will be made on the explicit use of inference loops integrating fast human cognitive responses and its individual capitalisation through time in order to reflect towards the generation of design and architectural features.
keywords	Human Computer Interaction; Neurodesign; Generative Design; Design Computing and Cognition; Machine Learning
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_433
id	ecaade2018_433
authors	Daher, Elie, Kubicki, Sylvain and Pak, Burak
year	2018
title	Participation-based Parametric Design in Early Stages - A participative design process for spatial planning in office building
doi	https://doi.org/10.52842/conf.ecaade.2018.1.429
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 429-438
summary	The term participation has been used to define different activities, such as civil debate, communication, consultation, delegation, self-help construction, political decisions. However, participation in design started from the idea that individuals whom being affected by a design project must contribute to the design process. Recently, designers have been moving closer to the future users and developing new ways to empower them to get involved in the design process. In this paper we rethink the way the early design process is developed in a participatory approach thanks to parametric methods. A use case is proposed showing the potential of parametric design methods to empower the participation of users in the design of their facilities. The use case is dealing in particular with the spatial planning of an office building where the users together with the spatial planning team are able to design the layout spatial configuration by 1) fixing the objectives, 2) manipulating the model, 3)modifying some parameters, 4) visualizing the iterations and evaluating in a real-time each solution in an interactive 3D environment and together with facility managers 5) choosing the configuration of the spatial layout.
keywords	Computational design; Participatory design; Optimization ; Parametric design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_255
id	ecaade2018_255
authors	Danesh, Foroozan, Baghi, Ali and Kalantari, Saleh
year	2018
title	Programmable Paper Cutting - A Method to Digitally Fabricate Transformable, Complex Structural Geometry
doi	https://doi.org/10.52842/conf.ecaade.2018.2.489
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 489-498
summary	This paper presents a computational approach to generating architectural forms for large spanning structures based on a "paper-cutting" technique. Using this approach, a flat sheet is cut and scored in such a way that a small application of force prompts it to expand into a three-dimensional structure. Our computational system can be used to estimate optimal cutting patterns and to predict the resulting structural characteristics, thereby providing greater rigor to what has previously been an ad-hoc and experimental design approach. To develop the model, we analyzed paper-cutting techniques, extracted the relevant formative parameters, and created a simulation using finite element analysis. We then used a data-mining approach through 400 simulations and applied a regression analysis to create a prediction model. Given a small number of input variables from the designer, this model can rapidly and precisely predict the transformation volume of a paper-cutting pattern. Additional structural characteristics will be modelled in future work. The use of this tool makes paper-cut design approaches more practical by changing a non-systematic, labor-intensive design process into a more precise and efficient one.
keywords	Paper-cut?; Transformable geometry; Design method; Model prediction; Data mining; Regression analysis
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2018_292
id	caadria2018_292
authors	Eid Mohamed, Basem, ElKaftangui, Mohamed and Zureikat, Rana
year	2018
title	{In}Formed Panels - Towards Rethinking the Precast Concrete Industry in the UAE
doi	https://doi.org/10.52842/conf.caadria.2018.1.287
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 287-296
summary	The convergence of digital design and fabrication technologies have offered architects and designers the means by which to develop customized architectural artifacts, ones that goes beyond the standards of "one size fits all". Such applications have been applied extensively in various architectural practices, and specifically in the realm of industrialized building production, given that they present a suitable model. Although unrecognized within standard precast concrete production, current research acknowledges the need for advanced computer applications for shifting the industry into a digitized process. This paper represent a critical phase of an ongoing research endeavor that aims at rethinking the precast concrete production in the UAE, and MENA region for housing typologies. The project explores possibilities of a new protocol that is focused from design to production, relying on performative design strategies, and possible optimized for large format 3D printing of concrete elements. The aim is to develop an integrated façade panels system that is tailored for design and production; an approach that goes beyond current industry practices.
keywords	Precast Concrete; Industrialized Construction; Evolutionary Design; Optimization
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	acadia18_226
id	acadia18_226
authors	Glynn, Ruairi; Abramovic, Vasilija; Overvelde, Johannes T. B.
year	2018
title	Edge of Chaos. Towards intelligent architecture through distributed control systems based on Cellular Automata.
doi	https://doi.org/10.52842/conf.acadia.2018.226
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. 226-231
summary	From the “Edge of Chaos”, a mathematical space discovered by computer scientist Christopher Langton (1997), compelling behaviors originate that exhibit both degrees of organization and instability creating a continuous dance between order and chaos. This paper presents a project intended to make this complex theory tangible through an interactive installation based on metamaterial research which demonstrates emergent behavior using Cellular Automata (CA) techniques, illustrated through sound, light and motion. We present a multi-sensory narrative approach that encourages playful exploration and contemplation on perhaps the biggest questions of how life could emerge from the disorder of the universe. We argue a way of creating intelligent architecture, not through classical Artificial Intelligence (AI), but rather through Artificial Life (ALife), embracing the aesthetic emergent possibilities that can spontaneously arise from this approach. In order to make these ideas of emergent life more tangible we present this paper in four integrated parts, namely: narrative, material, hardware and computation. The Edge of Chaos installation is an explicit realization of creating emergent systems and translating them into an architectural design. Our results demonstrate the effectiveness of a custom CA for maximizing aesthetic impact while minimizing the live time of architectural kinetic elements.
keywords	work in progress, complexity, responsive architecture, distributed computing, emergence, installation, interactive architecture, cellular automata
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ecaade2018_104
id	ecaade2018_104
authors	Gürsoy, Benay
year	2018
title	From Control to Uncertainty in 3D Printing with Clay
doi	https://doi.org/10.52842/conf.ecaade.2018.2.021
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 21-30
summary	The use of digital fabrication tools can extend beyond the seamless materialization of the digital model and can continuously inform design ideation through emerging material qualities. Exploring the implications of an approach to digital fabrication that is not based on imposed and rigorous formalisms but on unique and contextual ones constitutes the research agenda. Within this framework, the focus of this paper is on 3D printing with clay. Considering matter not as the static and passive outcome of digitally predetermined form, but as a design generator, a case study on both the materials and tools employed in 3D printing with clay is presented.
keywords	Digital fabrication; additive manufacturing; 3D printing with clay; material computing; uncertainty
series	eCAADe
email
last changed	2022/06/07 07:49

_id	ecaaderis2018_104
id	ecaaderis2018_104
authors	Hollberg, Alexander, Hildebrand, Linda and Habert, Guillaume
year	2018
title	Environmental design - Lessons learned from teaching LCA
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 65-74
keywords	Architects largely define the environmental impact a building will cause throughout its life cycle. Especially decisions taken in early design stages have a great influence on the environmental performance. The integration of environmental assessment into the design process requires adequate tools and basic knowledge of the architects using them. This paper discusses both aspects by means of two case studies with students. In both case studies, the goal was to use Life Cycle Assessment (LCA) to optimize the environmental performance of the building in the design process. The results of the first case study proved the benefits of using LCA-based information for decision-making, but some issues of using the tool during the design process became evident. In the second case study an improved LCA-tool was employed that proved to be applicable by all students. Nevertheless, only one group used the feedback to optimize the building design in an iterative process as intended by the supervisors. This leads to the conclusion that the difficulty of environmental design shifted from a lack of adequate assessment tools to the question of the design approach.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	caadria2018_161
id	caadria2018_161
authors	Huang, Xiaoran, White, Marcus and Burry, Mark
year	2018
title	Design Globally, Immerse Locally - A Synthetic Design Approach by Integrating Agent Based Modelling with Virtual Reality
doi	https://doi.org/10.52842/conf.caadria.2018.1.473
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 473-482
summary	The last three decades have witnessed the explosion of technology and its impact on the architecture discipline which has drastically changed the methods of design. New techniques such as Agent-based modeling (ABM) and Virtual Reality (VR) have been widely implemented in architectural and urban design domains, yet the potential integration between these two methods remains arguably unexploited. The investigation in this paper aims to probe the following questions: How can architects and urban designers be informed more comprehensively by melding ABM and VR techniques at the preliminary/conceptual design stage? Which platform is considered more appropriate to facilitate a user-friendly system and reduces the steep learning curve? And what are the potential benefits of this approach in architectural education, particularly for the design studio environment? With those questions, we proposed a prototype in Unity, a multi-platform development tool that originated from the game industry, to simulate and visualize pedestrian behaviors in urban environments with immersive design experience and tested it in a scenario-based case study. This approach has also been further tested in an architectural design studio, demonstrating its technical feasibility as well as the potential contributions to the pedagogy.
keywords	Agent based modelling; Virtual Reality; Urban Design
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ecaade2018_w14
id	ecaade2018_w14
authors	Karóczkai, Ákos
year	2018
title	Parametric BIM Models in ARCHICAD - The Grasshopper - ARCHICAD Live Connection
doi	https://doi.org/10.52842/conf.ecaade.2018.1.063
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 63-64
summary	Parametric modelling is a very trending topic in the Architecture Engineering and Construction industry. There is an ever-growing challenge in the industry about how it is possible to document freeform and very design-oriented projects (created in Rhinoceros) in BIM. The ultimate goal of architectural and design projects is to be able to realize the building based on the 2D documentation. Currently Rhinoceros and Grasshopper are the industry-leading algorithmic solutions in the AEC industry. To complement such workflows, GRAPHISOFT developed a live connection between Grasshopper and ARCHICAD in order to generate BIM models, directly from the Visual Programming Interface (Grasshopper) and bridge the gap between the freeform, conceptual- and the BIM worlds.
keywords	Parametric; BIM; ARCHICAD
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2018_230
id	ecaade2018_230
authors	Kreutzberg, Anette
year	2018
title	Visualising Architectural Lighting Concept with 360° Panoramas
doi	https://doi.org/10.52842/conf.ecaade.2018.2.745
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 745-752
summary	This paper presents the establishment and refinement of a visualisation workflow based on initial learnings from introducing mobile Virtual Reality (VR) as representational medium for visualising and visually evaluating architectural lighting concepts using rendered 360° panoramas. Four student projects are described, each with a different aim and approach towards visualising architectural light in space: Two projects aiming at conveying reality with physically based lighting simulations and two projects with an artistic approach to conveying light impressions. The 360° panoramas were used at low resolution during the design process to qualify the projects, and the final panoramas were presented with great success as a supplement to visualisations, diagrams, technical drawings and physical models at Bachelor and Master exams. The benefits of using familiar simulation and render software together with low cost, accessible and portable VR HMD's in the authors opinion far outweighs the reduced Field of View, lower frame-rate, lack of parallax and dynamic Point of View compared to realtime rendered high end VR.
keywords	Architectural lighting; 360° panorama; Virtual Reality; Visualisation workflow
series	eCAADe
email
last changed	2022/06/07 07:51

_id	sigradi2018_1502
id	sigradi2018_1502
authors	Muñoz, Patricia; Martin Iglesias, Rodrigo
year	2018
title	Digital-Analogic Algorithmic Laminar Artifact: Techno-political convergences in Design
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 676-683
summary	This work refers to the design, development, fabrication and exhibition of the device called A.L.A.D.A. (Digital-Analogic Algorithmic Laminar Artifact), an experimental project that com-bines parametric-analog morphogenesis and digital fabrication in a process of architectural-spatial discovery based on cut-flexibility that results in a metaphorical operation, a kind of sim-ultaneous Muybridge-style kinematic capture. The experience arises from the collaborative interaction between two research projects on morphology and digital media, their new mor-phogenerative and manufacturing possibilities, and the thought of digital manufacturing from productive and morphogenetic processes, in conjunction with an experimental and productive space outside the university. The working methodology from 2D to 3D through the flexibiliza-tion of rigid sheets through small-scale laser cutting was adapted to work in large proportions to allow viewers to walk around the artifact.
keywords	Convergence; Flexibilization; Digital fabrication; Experimentation; Technopolitics
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	ijac201816403
id	ijac201816403
authors	Pantazis, Evangelos and David Gerber
year	2018
title	A framework for generating and evaluating façade designs using a multi-agent system approach
source	International Journal of Architectural Computing vol. 16 - no. 4, 248-270
summary	Digital design paradigms in architecture have been rooted in representational models which are geometry centered and therefore fail to capture building complexity holistically. Due to a lack of computational design methodologies, existing digital design workflows do little in predicting design performance in the early design stage and in most cases analysis and design optimization are done after a design is fixed. This work proposes a new computational design methodology, intended for use in the area of conceptual design of building design. The proposed methodology is implemented into a multi-agent system design toolkit which facilitates the generation of design alternatives using stochastic algorithms and their evaluation using multiple environmental performance metrics. The method allows the user to probabilistically explore the solution space by modeling the design parameters’ architectural design components (i.e. façade panel) into modular programming blocks (agents) which interact in a bottom-up fashion. Different problem requirements (i.e. level of daylight inside a space, openings) described into agents’ behavior allow for the coupling of data from different engineering fields (environmental design, structural design) into the a priori formation of architectural geometry. In the presented design experiment, a façade panel is modeled into an agent-based fashion and the multi-agent system toolkit is used to generate and evolve alternative façade panel configurations based on environmental parameters (daylight, energy consumption). The designer can develop the façade panel geometry, design behaviors, and performance criteria to evaluate the design alternatives. The toolkit relies on modular and functionally specific programming modules (agents), which provide a platform for façade design exploration by combining existing three-dimensional modeling and analysis software.
keywords	Generative design, multi-agent systems, façade design, agent-based modeling, stochastic search
series	journal
email
last changed	2019/08/07 14:04

_id	acadia18_146
id	acadia18_146
authors	Rossi, Gabriella; Nicholas, Paul
year	2018
title	Re/Learning the Wheel. Methods to Utilize Neural Networks as Design Tools for Doubly Curved Metal Surfaces
doi	https://doi.org/10.52842/conf.acadia.2018.146
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. 146-155
summary	This paper introduces concepts and computational methodologies for utilizing neural networks as design tools for architecture and demonstrates their application in the making of doubly curved metal surfaces using a contemporary version of the English Wheel. The research adopts an interdisciplinary approach to develop a novel method to model complex geometric features using computational models that originate from the field of computer vision. The paper contextualizes the approach with respect to the current state of the art of the usage of artificial neural networks both in architecture and beyond. It illustrates the cyber physical system that is at the core of this research, with a focus on the employed neural network–based computational method. Finally, the paper discusses the repercussions of these design tools on the contemporary design paradigm.
keywords	full paper, ai & machine learning, digital craft, robotic production, computation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	acadia18_250
id	acadia18_250
authors	Seibold, Zach; Grinham, Jonathan; Geletina, Olga; Ahanotu, Onyemaechi; Sayegh, Allen; Weaver, James; Bechthold, Martin
year	2018
title	Fluid Equilibrium: Material Computation in Ferrofluidic Castings
doi	https://doi.org/10.52842/conf.acadia.2018.250
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. 250-259
summary	We present a computationally-based manufacturing process that allows for variable pattern casting through the use of ferrofluid – a mixture of suspended magnetic nanoparticles in a carrier liquid. The capacity of ferrofluid to form intricate spike and labyrinthine packing structures from ferrohydrodynamic instabilities is well recognized in industry and popular science. In this paper we employ these instabilities as a mold for the direct casting of rigid materials with complex periodic features. Furthermore, using a bitmap-based computational workflow and an array of high-strength neodymium magnets with linear staging, we demonstrate the ability to program the macro-scale pattern formation by modulating the magnetic field density within a single cast. Using this approach, it is possible to program specific patterns in the resulting cast tiles at both the micro- and macro-scale and thus generate tiled arrays with predictable halftone-like image features. We demonstrate the efficacy of this approach for a variety of materials typically used in the architecture, engineering, and construction industries (AEC) including epoxys, ceramics, and cements.
keywords	full paper, materials & adaptive systems, digital fabrication, digital materials, physics
series	ACADIA
type	paper
email
last changed	2022/06/07 08:00

_id	ecaade2023_10
id	ecaade2023_10
authors	Sepúlveda, Abel, Eslamirad, Nasim and De Luca, Francesco
year	2023
title	Machine Learning Approach versus Prediction Formulas to Design Healthy Dwellings in a Cold Climate
doi	https://doi.org/10.52842/conf.ecaade.2023.2.359
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 359–368
summary	This paper presents a study about the prediction accuracy of daylight provision and overheating levels in dwellings when considering different methods (machine learning vs prediction formulas), training, and validation data sets. An existing high-rise building located in Tallinn, Estonia was considered to compare the best ML predictive method with novel prediction formulas. The quantification of daylight provision was conducted according to the European daylight standard EN 17037:2018 (based on minimum Daylight Factor (minDF)) and overheating level in terms of the degree-hour (DH) metric included in local regulations. The features included in the dataset are the minDF and DH values related to different combinations of design parameters: window-to-floor ratio, level of obstruction, g-value, and visible transmittance of the glazing system. Different training and validation data sets were obtained from a main data set of 5120 minDF values and 40960 DH values obtained through simulation with Radiance and EnergyPlus, respectively. For each combination of training and validation dataset, the accuracy of the ML model was quantified and compared with the accuracy of the prediction formulas. According to our results, the ML model could provide more accurate minDF/DH predictions than by using the prediction formulas for the same design parameters. However, the amount of room combinations needed to train the machine-learning model is larger than for the calibration of the prediction formulas. The paper discuss in detail the method to use in practice, depending on time and accuracy concerns.
keywords	Optimization, Daylight, Thermal Comfort, Overheating, Machine Learning, Predictive Model, Dwellings, Cold Climates
series	eCAADe
email
last changed	2023/12/10 10:49

_id	caadria2018_303
id	caadria2018_303
authors	Song, Jae Yeol, Kim, Jin Sung, Kim, Hayan, Choi, Jungsik and Lee, Jin Kook
year	2018
title	Approach to Capturing Design Requirements from the Existing Architectural Documents Using Natural Language Processing Technique
doi	https://doi.org/10.52842/conf.caadria.2018.2.247
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 247-254
summary	This paper describes an approach to utilizing natural language processing (NLP) to capture design requirements from the natural language-based architectural documents. In various design stage of the architectural process, there are several different kinds of documents describing requirements for buildings. Capturing the design requirements from those documents is based on extracting information of objects, their properties, and relations. Until recently, interpreting and extracting that information from documents are almost done by a manual process. To intelligently automate the conventional process, the computer has to understand the semantics of natural languages. In this regards, this paper suggests an approach to utilizing NLP for semantic analysis which enables the computer to understand the semantics of the given text data. The proposed approach has following steps: 1) extract noun words which mostly represent objects and property data in Korean Building Act; 2) analyze the semantic relations between words, using NLP and deep learning; 3) Based on domain database, translate the noun words in objects and properties data and find out their relations.
keywords	NLP (Natural Language Processing); Deep learning; Design requirements; Korean Building Act; Semantic analysis
series	CAADRIA
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last changed	2022/06/07 07:56

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