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 463

_id caadria2021_354
id caadria2021_354
authors Huang, Chenyu, Gong, Pixin, Ding, Rui, Qu, Shuyu and Yang, Xin
year 2021
title Comprehensive analysis of the vitality of urban central activities zone based on multi-source data - Case studies of Lujiazui and other sub-districts in Shanghai CAZ
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 549-558
doi https://doi.org/10.52842/conf.caadria.2021.2.549
summary With the use of the concept Central Activities Zone in the Shanghai City Master Plan (2017-2035) to replace the traditional concept of Central Business District, core areas such as Shanghai Lujiazui will be given more connotations in the future construction and development. In the context of todays continuous urbanization and high-speed capital flow, how to identify the development status and vitality characteristics is a prerequisite for creating a high-quality Central Activities Zone. Taking Shanghai Lujiazui sub-district etc. as an example, the vitality value of weekday and weekend as well as 19 indexes including density of functional facilities and building morphology is quantified by obtaining multi-source big data. Meanwhile, the correlation between various indexes and the vitality characteristics of the Central Activities Zone are tried to summarize in this paper. Finally, a neural network regression model is built to bridge the design scheme and vitality values to realize the prediction of the vitality of the Central Activities Zone. The data analysis method proposed in this paper is versatile and efficient, and can be well integrated into the urban big data platform and the City Information Modeling, and provides reliable reference suggestions for the real-time evaluation of future urban construction.
keywords multi-source big data; Central Activities Zone; Vitality; Lujiazui
series CAADRIA
email bjyangxin@126.com
last changed 2022/06/07 07:50

_id caadria2017_105
id caadria2017_105
authors Janssen, Patrick
year 2017
title Evolutionary Urbanism - Exploring Form-based Codes Using Neuroevolution Algorithms
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. 303-312
doi https://doi.org/10.52842/conf.caadria.2017.303
summary Form-Based Codes are legal regulations adopted by local government that allow specific urban forms to be achieved. Such codes have a significant impact on the performative potential of the urban environment. This paper explores the possibility of using a neuroevolution algorithm to elucidate the complex relationship between Form-based Codes and their performative potential. More specifically, Compositional Pattern Producing Networks (CPPN) are used to generate parameter fields, which then drive the generation of varied urban models. For evolving the CPPN networks, a neuroevolution algorithm is used, called Neuroevolution of Augmenting Topologies (NEAT). In order to test the feasibility of the proposed approach, an abstract experiment is described in which a population of urban models are evolved, optimising a set of performance criteria related to the vista and location of the residential units.
keywords Form-based codes; evolutionary design; neural networks; neuroevolution; urban planning
series CAADRIA
email patrick.ht.janssen@gmail.com
last changed 2022/06/07 07:52

_id ecaade2023_44
id ecaade2023_44
authors Mayrhofer-Hufnagl, Ingrid and Ennemoser, Benjamin
year 2023
title From Linear to Manifold Interpolation: Exemplifying the paradigm shift through interpolation
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. 419–429
doi https://doi.org/10.52842/conf.ecaade.2023.2.419
summary The advent of artificial intelligence, specifically neural networks, has marked a significant turning point in the field of computation. During such transformative times, we are often faced with a dearth of appropriate vocabulary, which forces us to rely on existing terms, regardless of their inadequacy. This paper argues that the term “interpolation,” typically used in deep learning (DL), is a prime example of this phenomenon. It is not uncommon for beginners to misunderstand its meaning, as DL pioneer Francois Chollet (2017) has noted. This misreading is especially true in the discipline of architecture, and this study aims to demonstrate how the meaning of “interpolation” has evolved in the second digital turn. We begin by illustrating, using 2D data, the difference between linear interpolation in the context of topological figures and its use in DL algorithms. We then demonstrate how 3DGANs can be employed to interpolate across different topologies in complex 3D space, highlighting the distinction between linear and manifold interpolation. In both 2D and 3D examples, our results indicate that the process does not involve continuous morphing but instead resembles the piecing together of a jigsaw puzzle to form many parts of a larger ambient space. Our study reveals how previous architectural research on DL has employed the term “interpolation” without clarifying the crucial differences from its use in the first digital turn. We demonstrate the new possibilities that manifold interpolation offers for architecture, which extend well beyond parametric variations of the same topology.
keywords Interpolation, 3D Generative Adversarial Networks, Deep Learning, Hybrid Space
series eCAADe
email ingrid.mayrhofer-hufnagl@uibk.ac.at
last changed 2023/12/10 10:49

_id ecaade2017_271
id ecaade2017_271
authors Narahara, Taro
year 2017
title Collective Construction Modeling and Machine Learning: Potential for Architectural Design
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. 341-348
doi https://doi.org/10.52842/conf.ecaade.2017.2.341
summary Recently, there are significant developments in artificial intelligence using advanced machine learning algorithms such as deep neural networks. These new methods can defeat human expert players in strategy-based board games such as Go and video games such as Breakout. This paper suggests a way to incorporate such advanced computing methods into architectural design through introducing a simple conceptual design project inspired by computational interpretations of wasps' collective constructions. At this stage, the paper's intent is not to introduce a practical and fully finished tool directly useful for architectural design. Instead, the paper proposes an example of a program that can potentially become a conceptual framework for incorporating such advanced methods into architectural design.
keywords Design tools; Stigmergy; Machine learning
series eCAADe
email taronarahara@gmail.com
last changed 2022/06/07 07:58

_id acadia17_474
id acadia17_474
authors Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko
year 2017
title Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 474- 481
doi https://doi.org/10.52842/conf.acadia.2017.474
summary Simple and common architectural elements can be combined to create complex spaces. Different spatial compositions of elements define different spatial boundaries, and each produces a unique local spatial experience to observers inside the space. Therefore an architectural style brings about a distinct spatial experience. While multiple representation methods are practiced in the field of architecture, there lacks a compelling way to capture and identify spatial experiences. Describing an observer’s spatial experiences quantitatively and efficiently is a challenge. In this paper, we propose a method that employs 3D isovist methods and a convolutional neural network (CNN) to achieve recognition of local spatial compositions. The case studies conducted validate that this methodology works well in capturing and identifying local spatial conditions, illustrates the pattern and frequency of their appearance in designs, and indicates peculiar spatial experiences embedded in an architectural style. The case study used small designs by Mies van der Rohe and Aldo van Eyck. The contribution of this paper is threefold. First, it introduces a sampling method based on 3D Isovist that generates a 2D image that can be used to represent a 3D space from a specific observation point. Second, it employs a CNN model to extract features from the sampled images, then classifies their corresponding space. Third, it demonstrates a few case studies where this space classification method is applied to different architectural styles.
keywords design methods; information processing; AI; machine learning; computer vision; representation
series ACADIA
email pwz@mit.edu
last changed 2022/06/07 08:00

_id ecaade2017_269
id ecaade2017_269
authors Rahmani Asl, Mohammad, Das, Subhajit, Tsai, Barry, Molloy, Ian and Hauck, Anthony
year 2017
title Energy Model Machine (EMM) - Instant Building Energy Prediction using Machine Learning
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. 277-286
doi https://doi.org/10.52842/conf.ecaade.2017.2.277
summary In the process of building design, energy performance is often simulated using physical principles of thermodynamics and energy behaviour using elaborate simulation tools. However, energy simulation is computationally expensive and time consuming process. These drawbacks limit opportunities for design space exploration and prevent interactive design which results in environmentally inefficient buildings. In this paper we propose Energy Model Machine (EMM) as a general and flexible approximation model for instant energy performance prediction using machine learning (ML) algorithms to facilitate design space exploration in building design process. EMM can easily be added to design tools and provide instant feedback for real-time design iterations. To demonstrate its applicability, EMM is used to estimate energy performance of a medium size office building during the design space exploration in widely used parametrically design tool as a case study. The results of this study support the feasibility of using machine learning approaches to estimate energy performance for design exploration and optimization workflows to achieve high performance buildings.
keywords Machine Learning; Artificial Neural Networks; Boosted Decision Tree; Building Energy Performance; Parametric Modeling and Design; Building Performance Optimization
series eCAADe
email mohammad.asl@autodesk.com
last changed 2022/06/07 08:00

_id acadia17_552
id acadia17_552
authors Sjoberg, Christian; Beorkrem, Christopher; Ellinger, Jefferson
year 2017
title Emergent Syntax: Machine Learning for the Curation of Design Solution Space
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 552- 561
doi https://doi.org/10.52842/conf.acadia.2017.552
summary The expanding role of computational models in the process of design is producing exponential growth in parameter spaces. As designers, we must create and implement new methods for searching these parameter spaces, considering not only quantitative optimization metrics but also qualitative features. This paper proposes a methodology that leverages the pattern modeling properties of artificial neural networks to capture designers' inexplicit selection criteria and create user-selection-based fitness functions for a genetic solver. Through emulation of learned selection patterns, fitness functions based on trained networks provide a method for qualitative evaluation of designs in the context of a given population. The application of genetic solvers for the generation of new populations based on the trained network selections creates emergent high-density clusters in the parameter space, allowing for the identification of solutions that satisfy the designer’s inexplicit criteria. The results of an initial user study show that even with small numbers of training objects, a search tool with this configuration can begin to emulate the design criteria of the user who trained it.
keywords design methods; information processing; AI; machine learning; generative system
series ACADIA
email csjoberg91@gmail.com
last changed 2022/06/07 07:56

_id ecaade2017_009
id ecaade2017_009
authors Takizawa, Atsushi and Furuta, Airi
year 2017
title 3D Spatial Analysis Method with First-Person Viewpoint by Deep Convolutional Neural Network with Omnidirectional RGB and Depth Images
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. 693-702
doi https://doi.org/10.52842/conf.ecaade.2017.2.693
summary The fields of architecture and urban planning widely apply spatial analysis based on images. However, many features can influence the spatial conditions, not all of which can be explicitly defined. In this research, we propose a new deep learning framework for extracting spatial features without explicitly specifying them and use these features for spatial analysis and prediction. As a first step, we establish a deep convolution neural network (DCNN) learning problem with omnidirectional images that include depth images as well as ordinary RGB images. We then use these images as explanatory variables in a game engine to predict a subjects' preference regarding a virtual urban space. DCNNs learn the relationship between the evaluation result and the omnidirectional camera images and we confirm the prediction accuracy of the verification data.
keywords Space evaluation; deep convolutional neural network; omnidirectional image; depth image; Unity; virtual reality
series eCAADe
email takizawa@arch.eng.osaka-cu.ac.jp
last changed 2022/06/07 07:56

_id ecaade2017_305
id ecaade2017_305
authors Luther, Mark B.
year 2017
title The Application of Daylighting Software for Case-study Design in Buildings
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 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 629-638
doi https://doi.org/10.52842/conf.ecaade.2017.1.629
summary The application of different software, whether simple or complex, can each play a significant role in the design and decision-making on daylighting for a building. This paper, discusses the task to be accomplished, in real case studies, and how various lighting software programs are used to achieve the desired information. The message iterated throughout the paper is one that respects, and even suggests, the use of even the simplest software, that can guide and inform design decisions in daylighting. Daylighting can be complex since the position of the sun varies throughout the day and year as well as do the sky conditions for a particular location. Just because we now have the computing capacity to model every single minute of a day throughout a year, doesn't justify its task. Several projects; an architecture studio, a university office building, a school library and a gymnasium all present different tasks to be achieved. The daylighting problems, the objects and the software application and their outcomes are presented in this paper. Over a decade of projects has led to reflecting upon the importance of computing in daylighting, its staged approach and the result that it can achieve if properly applied.
keywords Daylighting Design; Daylighting Analysis; Radiosity; Ray-tracing
series eCAADe
email mark.luther@deakin.edu.au
last changed 2022/06/07 07:51

_id ecaade2018_412
id ecaade2018_412
authors Flanagan, Robert
year 2018
title BIM’s Complexity and Ambiguity - BIM v. Paper Architecture
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. 265-270
doi https://doi.org/10.52842/conf.ecaade.2018.1.265
summary Architects rely on the graphic language of words and art to bridge intention and design, just as it has always been. Yet, passing an idea or concept from mental imagery to design practice through 2D, 3D, and 4D design filters is especially challenging in BIM technology. Severe limitations hinder or even preclude BIMs use in certain complex design tasks, as identified in the Anti-Box, "The anti-box celebrates the death of the ninety-degree angle- in fact, every angle." (de Graaf 2017). Compatibility and constraints determine the most appropriate uses of BIM software, from designing mundane shopping mall developments to complex architectural engineering feats that stagger the imagination. BIM's main benefit is in the middle when it is creatively employed by professional architects in multi-discipline collaborations, well versed in symbolic representation, of designs conceived of multivalent design factors: narrative, form, function, multi-sensory access, materiality, space, and environment.
keywords BIM; analog; HIC; Constructivist; Chernikov; photomatch
series eCAADe
email robert.flanagan@ucdenver.edu
last changed 2022/06/07 07:51

_id caadria2017_094
id caadria2017_094
authors Matthews, Linda and Perin, Gavin
year 2017
title A Productive Ambiguity:Diffraction Aberrations as a Template for the Architectural Surface
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. 571-580
doi https://doi.org/10.52842/conf.caadria.2017.571
summary The hi-resolution imaging of public urban space for both promotional and surveillance purposes is now undertaken by a range of ubiquitous visioning technology such as Internet webcams, drones (UAV's) and high-altitude aircraft cameras. The ability to control and manipulate these types of images is a growing concern in an increasingly 'envisioned' environment. One approach is to disrupt or modify the 'emission signatures' of urban surfaces, which requires an understanding of the digital algorithms used to assemble and transmit image content into grids of visual data. Recent scaled tests show that Fraunhofer diffraction algorithms can interfere with the smooth transmission of image data. When these algorithmic patterns are physically constructed into a building façade, they create natural disruption glitches in the camera's successful transmission of visual data. The paper details how the quantum of visual aberration in the digital portrayal of the city can be determined by algorithm-based façade patterning.
keywords surveillance; camoufleur; envisioned; algorithms; diffraction; façades; aberration
series CAADRIA
email Linda.Matthews@uts.edu.au
last changed 2022/06/07 07:58

_id ecaade2017_041
id ecaade2017_041
authors Fukuda, Tomohiro, Kuwamuro, Yasuyuki and Yabuki, Nobuyoshi
year 2017
title Optical Integrity of Diminished Reality Using Deep Learning
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 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 241-250
doi https://doi.org/10.52842/conf.ecaade.2017.1.241
summary A new method is proposed to improve diminished reality (DR) simulations to allow the demolition and removal of entire buildings in large-scale spaces. Our research goal was to obtain optical integrity by using a scientific and reliable simulation approach. Further, we tackled presumption of the texture of the background sky by applying deep learning. Our approach extracted the background sky using information from the actual sky obtained from a photographed image. This method comprised two steps: (1) detection of the sky area from the image through image segmentation and (2) creation of an image of the sky through image inpainting. The deep convolutional neural networks developed by us to train and predict images were evaluated to be feasible and effective.
keywords Diminished Reality; Optical Integrity; Deep Learning; Augmented Reality; Landscape assessment
series eCAADe
email fukuda@see.eng.osaka-u.ac.jp
last changed 2022/06/07 07:50

_id ecaade2017_038
id ecaade2017_038
authors Asanowicz, Aleksander
year 2017
title Parametric design - Tool, medium or new paradigm?
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. 379-386
doi https://doi.org/10.52842/conf.ecaade.2017.2.379
summary Parametric design is an emerging research issue in the design domain. However, discussions about the creative process in parametric design are limited. What is more, despite the passing of 57 years of parametric design's existence we still do not know what parametric design is. Is it a simple tool, which is useful in some kind of optimization of the architectural form, or it is a medium, which helps architects develop unexpected solutions, and perhaps this is already a new design paradigm? The presented paper will contain general considerations relating to the nature of parametric design, the history of which starts in 1960, when D.T. Ross has formulated the thesis that our main objective is to formulate constrains and all needed parameters of the solved problem.Please write your abstract here by clicking this paragraph.
keywords optimisation; parametric design; design tool; design media
series eCAADe
email asanowicz@gmail.com
last changed 2022/06/07 07:54

_id ecaade2017_049
id ecaade2017_049
authors Osorio, Filipa, Paio, Alexandra, Oliveira, Sancho, Casale, Andrea, Valenti, Graziano and Calvano, Michele
year 2017
title Foldable Responsive Surfaces - Two Design Studios with a Comprehensive Workflow
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. 355-362
doi https://doi.org/10.52842/conf.ecaade.2017.2.355
summary The adopted methodology was defined by a multidisciplinary team with a strong believe in the efficiency of learning-by-doing design studios which resulted in an experimental digital workflow to create responsive surfaces based on the geometry of Rigid Origami. The workflow comprehends all the matters related to the creation of such surfaces, from the conception and definition of the surface's design using Rigid Origami's geometry, passing through the virtual simulation of the movement, digital fabrication and material's choice, then the mechanics behind the movement, interaction programming, and the assembly of it all in real scale prototypes.
keywords Design Studio; Learning-by-doing; Rigid Origami Geometry; Responsive Surfaces; Parametric Design; Digital Fabrication
series eCAADe
email filipa_osorio@iscte-iul.pt
last changed 2022/06/07 08:00

_id acadia17_18
id acadia17_18
authors Abdel-Rahman, Amira; Michalatos, Panagiotis
year 2017
title Magnetic Morphing
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 18-27
doi https://doi.org/10.52842/conf.acadia.2017.018
summary In an attempt to design shape-morphing multifunctional objects, this thesis uses programmable matter to design self-organizing multi-agent systems capable of morphing from one shape into another. The research looks at various precedents of self-assembly and modular robotics to design and prototype passive agents that could be cheaply mass-produced. Intelligence will be embedded into these agents on a material level, designing different local interactions to perform different global goals. The initial exploratory study looks at various examples from nature like plankton and molecules. Magnetic actuation is chosen as the external actuation force between agents. The research uses simultaneous digital and physical investigations to understand and design the interactions between agents. The project offers a systemic investigation of the effect of shape, interparticle forces, and surface friction on the packing and reconfiguration of granular systems. The ability to change the system state from a gaseous, liquid, then solid state offers new possibilities in the field of material computation, where one can design a "material" and change its properties on demand.
keywords material and construction; construction/robotics; smart materials; smart assembly/construction; simulation & optimization
series ACADIA
email amira-rahman@aucegypt.edu
last changed 2022/06/07 07:52

_id caadria2017_131
id caadria2017_131
authors Abe, U-ichi, Hotta, Kensuke, Hotta, Akito, Takami, Yosuke, Ikeda, Hikaru and Ikeda, Yasushi
year 2017
title Digital Construction - Demonstration of Interactive Assembly Using Smart Discrete Papers with RFID and AR codes
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. 75-84
doi https://doi.org/10.52842/conf.caadria.2017.075
summary This paper proposes and examines a new way of cooperation between human workers and machine intelligence in architectural scale construction. For the transfer of construction information between the physical and digital world, mature technologies such as Radio Frequency IDentifier (RFID), and emerging technologies like Augmented Reality (AR) are used in parallel to supplement each other. Dynamic data flow is implemented to synchronize digital and physical models by following the ID signatures of individual building parts. The contributions of this paper includes the demonstration of current technological limitations, and the proposal of a hybrid system between human and computer, which is tested in order to explore the possibilities of digitally enhanced construction methods.
keywords Digital Construction; Augmented Reality; Human-Machine interaction
series CAADRIA
email kamex@sfc.keio.ac.jp
last changed 2022/06/07 07:54

_id ecaade2017_054
id ecaade2017_054
authors Abramovic, Vasilija, Glynn, Ruairi and Achten, Henri
year 2017
title ROAMNITURE - Multi-Stable Soft Robotic Structures
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 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 327-336
doi https://doi.org/10.52842/conf.ecaade.2017.1.327
summary The rise in robotics is not only changing fabrication research in architecture but increasingly providing opportunities for animating the materiality of architecture, offering responsive, performative and adaptive design possibilities for the built environment. A fundamental challenge with robotics is its suitability to safe, and comfortable use in proximity to the human body. Here we present the preliminary results of the Roamniture Project, a hybrid approach to developing kinetic architecture based on a combination of rigid and soft body dynamics.
keywords Kinetic Architecture; Soft Robotics; Soft Architecture; Furniture
series eCAADe
email vasilijaabramovic@gmail.com
last changed 2022/06/07 07:54

_id acadia21_530
id acadia21_530
authors Adel, Arash; Augustynowicz, Edyta; Wehrle, Thomas
year 2021
title Robotic Timber Construction
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 S. Parascho, J. Scott, and K. Dörfler. 530-537.
doi https://doi.org/10.52842/conf.acadia.2021.530
summary Several research projects (Gramazio et al. 2014; Willmann et al. 2015; Helm et al. 2017; Adel et al. 2018; Adel Ahmadian 2020) have investigated the use of automated assembly technologies (e.g., industrial robotic arms) for the fabrication of nonstandard timber structures. Building on these projects, we present a novel and transferable process for the robotic fabrication of bespoke timber subassemblies made of off-the-shelf standard timber elements. A nonstandard timber structure (Figure 2), consisting of four bespoke subassemblies: three vertical supports and a Zollinger (Allen 1999) roof structure, acts as the case study for the research and validates the feasibility of the proposed process.
series ACADIA
type project
email aaadel@umich.edu
last changed 2023/10/22 12:06

_id ijac201715301
id ijac201715301
authors Afsari, Kereshmeh; Charles Eastman and Dennis Shelden
year 2017
title Building Information Modeling data interoperability for Cloud-based collaboration: Limitations and opportunities
source International Journal of Architectural Computing vol. 15 - no. 3, 187-202
summary Collaboration within Building Information Modeling process is mainly based on the manual transfer of document files in either vendor-specific formats or neutral format using Industry Foundation Classes. However, since the web enables Cloud-based Building Information Modeling services, it provides an opportunity to exchange data with web technologies. Alternative data sharing solutions include the federation of Building Information Modeling models and an interchange hub for data exchange in real time. These solutions face several challenges, are vendor locked, and integrate Building Information Modeling applications to a third new system. The main objective of this article is to investigate current limitations as well as opportunities of Cloud interoperability to outline a framework for a loosely coupled network-based Building Information Modeling data interoperability. This study explains that Cloud-Building Information Modeling data exchange needs to deploy major components of Cloud interoperability such as Cloud application programming interfaces, data transfer protocols, data formats, and standardization to redefine Building Information Modeling data flow in Cloud-based applications and to reshape collaboration process.
keywords Building Information Modeling, Cloud, data exchange, interoperability, Industry Foundation Classes
series journal
email kafsari@purdue.edu
last changed 2019/08/07 14:03

_id caadria2017_147
id caadria2017_147
authors Agirachman, Fauzan Alfi, Ozawa, Yo, Indraprastha, Aswin, Shinozaki, Michihiko, Sitompul, Irene Debora Meilisa, Nuraeni, Ruri, Chirstanti, Augustine Nathania, Putra, Andrew Cokro and Zefanya, Teresa
year 2017
title Reimagining Braga - Remodeling Bandung's Historical Colonial Streetscape in Virtual Reality
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. 23-32
doi https://doi.org/10.52842/conf.caadria.2017.023
summary This paper presents the experience of the first phase of remodeling existing historical and colonial district in Bandung, Indonesia, including existing building façade, streetscape and street furniture. Braga Street is chosen as study case because it is a well-known historical street in Bandung with art deco style buildings constructed during Dutch colonial era. By remodeling it, it could help stakeholders to evaluate existing Braga street condition, to test any modification of buildings along the street and to determine specific regulation for the street. In this case, we use Unity3D and Oculus Rift DK2 for remodeling current situation. We gathered feedback from respondents using a questionnaire given after they experienced the model in VR. Many lessons learned from modeling process and respondents' feedback: higher frame rate to make seamless VR experience by having all components on a low poly model and provide smoother movement to prevent visual discomfort. This paper's conclusion gives suggestions for anyone who want to start architecture modeling in virtual reality for the very first time and how to optimize it.
keywords Virtual reality; historical building; digital reconstruction; streetscape
series CAADRIA
email fauzan.alfi@s.itb.ac.id
last changed 2022/06/07 07:54

For more results click below:

this is page 0show page 1show page 2show page 3show page 4show page 5... show page 23HOMELOGIN (you are user _anon_798562 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002