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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Hits 1 to 20 of 623

_id ecaade2023_138
id ecaade2023_138
authors Crolla, Kristof and Wong, Nichol
year 2023
title Catenary Wooden Roof Structures: Precedent knowledge for future algorithmic design and construction optimisation
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 1, Graz, 20-22 September 2023, pp. 611–620
doi https://doi.org/10.52842/conf.ecaade.2023.1.611
summary The timber industry is expanding, including construction wood product applications such as glue-laminated wood products (R. Sikkema et al., 2023). To boost further utilisation of engineered wood products in architecture, further development and optimisation of related tectonic systems is required. Integration of digital design technologies in this endeavour presents opportunities for a more performative and spatially diverse architecture production, even in construction contexts typified by limited means and/or resources. This paper reports on historic precedent case study research that informs an ongoing larger study focussing on novel algorithmic methods for the design and production of lightweight, large-span, catenary glulam roof structures. Given their structural operation in full tension, catenary-based roof structures substantially reduce material needs when compared with those relying on straight beams (Wong and Crolla, 2019). Yet, the manufacture of their non-standard geometries typically requires costly bespoke hardware setups, having resulted in recent projects trending away from the more spatially engaging geometric experiments of the second half of the 20th century. The study hypothesis that the evolutionary design optimisation of this tectonic system has the potential to re-open and expand its practically available design solution space. This paper covers the review of a range of built projects employing catenary glulam roof system, starting from seminal historic precedents like the Festival Hall for the Swiss National Exhibition EXPO 1964 (A. Lozeron, Swiss, 1964) and the Wilkhahn Pavilions (Frei Otto, Germany, 1987), to contemporary examples, including the Grandview Heights Aquatic Centre (HCMA Architecture + Design, Canada, 2016). It analysis their structural concept, geometric and spatial complexity, fabrication and assembly protocols, applied construction detailing solutions, and more, with as aim to identify methods, tools, techniques, and construction details that can be taken forward in future research aimed at minimising construction complexity. Findings from this precedent study form the basis for the evolutionary-algorithmic design and construction method development that is part of the larger study. By expanding the tectonic system’s practically applicable architecture design solution space and facilitating architects’ access to a low-tech producible, spatially versatile, lightweight, eco-friendly, wooden roof structure typology, this study contributes to environmentally sustainable building.
keywords Precedent Studies, Light-weight architecture, Timber shell, Catenary, Algorithmic Optimisation, Glue-laminated timber
series eCAADe
email
last changed 2023/12/10 10:49

_id acadia19_404
id acadia19_404
authors Liu, Henan; Liao, Longtai; Srivastava, Akshay
year 2019
title AN ANONYMOUS COMPOSITION
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 404-411
doi https://doi.org/10.52842/conf.acadia.2019.404
summary Within the context of continuous technology transformations, the way scientists and designers process data is changing dramatically from simplification and explicit defined rules to searching and retrieving. Ideally, such a trending method can eliminate issues including deviation and ambiguity with the help of hypothetically unlimited computational power. To process data in this manner, artificial intelligence is necessary and needs to be integrated into the design process. An experiment of a design process that consists of a generative model, a data library, and a machine learning system (GAN) is introduced to demonstrate its effectiveness. The methodology is further evaluated by comparing its output with its input targets, which proves the possibility of employing machine learning systems to aggressively process data and automate the design process. Further improvement of such methodology, including judging criteria and possible applications, and the sensibility of the machine is also discussed at the end.
keywords Machine Learning, Automation, Variables, Data Processing, Sensibility, Generative Design
series ACADIA
type normal paper
email
last changed 2022/06/07 07:59

_id ecaadesigradi2019_521
id ecaadesigradi2019_521
authors Millentrup, Viktoria, Ramsgaard Thomsen, Mette and Nicholas, Paul
year 2019
title Actuated Textile Hybrids - Textile smocking for designing dynamic force equilibria in membrane structures
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 521-530
doi https://doi.org/10.52842/conf.ecaade.2019.2.521
summary This paper introduces Actuated Textile Hybrids, and describes the steps needed to steer the form finding processes necessary for their production. The method presented employs an integration of an "activated" instead of a pre-stressed textile membrane to design different stages of force equilibrium within the Hybrid Structure, and to investigate the potentials of ever flexible shaping of tensile elements. The set-up for the Textile Hybrid consists of three main elements which are digitally and physically analysed in their inextricable interdependence in force, form and material. Together, the bending active beam (rod), the textile membrane and an applied pattern which actively shrinks surface areas of the membrane (activation), create the base for the form finding process.With advanced Finite Element Modelling software and the architects resulting ability to engineer responsive building-systems for a dynamic environment, it is essential to rethink the construction methods and the building-material of the classic building envelope. This is to not only develop a smartly engineered sustainable skin but also a boundary object which, due to its adaptation, develops the potential to interconnect with its surrounding to re-establish the relationships between nature, home and inhabitant.
keywords Textile Hybrid; Kiwi3D; Form-Finding; Material Studies; Structural System; Membrane Structure
series eCAADeSIGraDi
email
last changed 2022/06/07 07:58

_id acadia19_392
id acadia19_392
authors Steinfeld, Kyle
year 2019
title GAN Loci
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 392-403
doi https://doi.org/10.52842/conf.acadia.2019.392
summary This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:56

_id ecaadesigradi2019_360
id ecaadesigradi2019_360
authors Wei, Likai, Ta, La, Li, Liang, Han, Yang, Feng, Yingying, Wang, Xin and Xu, Zhen
year 2019
title RAF: Robot Aware Fabrication - Hand-motion Augmented Robotic Fabrication Workflow and Case Study
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 241-250
doi https://doi.org/10.52842/conf.ecaade.2019.2.241
summary Fabricating process with robotic awareness and creativity makes architect able to explore the new boundary between digital and material world. Although parametric and generative design method make diverse processing of materials possible for robots, it's still necessary to establish a new design-fabrication framework, where we could simultaneously deal with designers, robots, data, sensor technology and material natural characters. In order to develop a softer system without gap between preset program and robot's varying environments, this paper attempts to establish an environment-computer-robot workflow and transform traditional robotic fabrication from linear to more tangible and suitable for architects' and designers' intuitive motion and gesture. RAF (Robotic Aware Fabrication), a concept of real-time external enhancement fabrication is proposed, and a new workflow of HARF (Hand-motion Augmented Robotic Fabrication) is developed, where motion sensor captures designer's hand-motion, filter algorithm recognizes the intention and update the preset program, robotic controller and RSI (Robotic Sensor Interface) adjusts robot's TCP (Tool Center Point) path in real time. With HARF workflow, two case studies of Hand-motion robotic dance and Free-form concrete wall are made.
keywords RAF; HARF; Hand-motion Sensor; Styrofoam Mold; Concrete Wall; RSI
series eCAADeSIGraDi
email
last changed 2022/06/07 07:58

_id ecaadesigradi2019_516
id ecaadesigradi2019_516
authors Fioravanti, Antonio and Trento, Armando
year 2019
title Close Future: Co-Design Assistant - How Proactive design paradigm can help
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 155-160
doi https://doi.org/10.52842/conf.ecaade.2019.1.155
summary The present paper is focused on exploring a new paradigm in architectural design process that should raise the bar for a mutual collaboration between humans and digital assistants, able to face challenging problems of XXI century. Such a collaboration will aid design process freeing designer from middle level reasoning tasks, so they could focus on exploring - on the fly - design alternatives at a higher abstraction layer of knowledge. Such an assistant should explore and instantiate as much as possible knowledge structures and their inferences thanks to an extensive use of defaults, demons and agents, combined with its power and ubiquity so that they will be able to mimic behaviour of architectural design human experts. It aims other than to deal with data (1st layer) and simple reasoning tools (2nd layer) to automate design exploring consequences and side effects of design decisions and comparing goals (3rd layer). This assistant will speed up the evaluation of fresh design solutions, will suggest solutions by means of generative systems and will be able of a digital creativity.
keywords Design process paradigm; Architectural design; Design assistant; Agents; Knowledge structures
series eCAADeSIGraDi
email
last changed 2022/06/07 07:50

_id caadria2019_449
id caadria2019_449
authors Lin, Yuqiong, Yao, Jiawei, Huang, Chenyu and Yuan, Philip F.
year 2019
title The Future of Environmental Performance Architectural Design Based on Human-Computer Interaction - Prediction Generation Based on Physical Wind Tunnel and Neural Network Algorithms
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 633-642
doi https://doi.org/10.52842/conf.caadria.2019.2.633
summary As the medium of the environment, a building's environment performance-based generative design cannot be separated from intelligent data processing. Sustainable building design should seek an optimized form of environmental performance through a complete set of intelligent induction, autonomous analysis and feedback systems. This paper analyzed the trends in architectural design development in the era of algorithms and data and the status quo of building generative design based on environmental performance, as well as highlighting the importance of physical experiments. Furthermore, a design method for self-generating environmental performance of urban high-rise buildings by applying artificial intelligence neural network algorithms to a customized physical wind tunnel is proposed, which mainly includes a morphology parameter control and environmental data acquisition system, code translation of environmental evaluation rules and architecture of a neural network algorithm model. The design-oriented intelligent prediction can be generated directly from the target environmental requirements to the architectural forms.
keywords Physical wind tunnel; neural network algorithms; dynamic model; environmental performance; building morphology self-generation
series CAADRIA
email
last changed 2022/06/07 07:59

_id cf2019_011
id cf2019_011
authors Silva, Lilian; Neander Silva and Igor Lacroix
year 2019
title Interoperability Workflow Method for Designing NURBS Surfaces and Structures with Generative Programming
source Ji-Hyun Lee (Eds.) "Hello, Culture!"  [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 88-100
summary The workflow for integration of parametric modeling with BIM is using generative-programming described and tested in this research. The workflow aims to take advantage of these two distinctive design paradigms. This paper describes a design experiment that called for a NURBS roof generated by sweeping profiles along a curved path. Computer applications in the field of architecture are often based on a diverse range of design paradigms. We assumed the use of multiple applications, using various file formats, are facts and are unlikely to disappear. Given that interoperability issues will certainly arise, in this article, we propose and test a design workflow using parametric modeling, generative programming, and building information modeling. Our objective is to test the efficiency and improve upon the compatibility between Parametric-Algorithmic-Design and BIM applications. Our major contribution was defining a workflow for designing NURBS surfaces and corresponding supporting structures enhancing interoperability among different applications through generative-programming.
keywords NURBS, Parametrics, Programming, Interoperability, BIM
series CAAD Futures
email
last changed 2019/07/29 14:08

_id cf2019_003
id cf2019_003
authors Steinfeld, Kyle; Katherine Park, Adam Menges and Samantha Walker
year 2019
title Fresh Eyes A framework for the application of machine learning to generative architectural design, and a report of activities at Smartgeometry 2018
source Ji-Hyun Lee (Eds.) "Hello, Culture!"  [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 22
summary This paper presents a framework for the application of Machine Learning (ML) to Generative Architectural Design (GAD), and illustrates this framework through a description of a series of projects completed at the Smart Geometry conference in May of 2018 (SG 2018) in Toronto. Proposed here is a modest modification of a 3-step process that is well-known in generative architectural design, and that proceeds as: generate, evaluate, iterate. In place of the typical approaches to the evaluation step, we propose to employ a machine learning process: a neural net trained to perform image classification. This modified process is different enough from traditional methods as to warrant an adjustment of the terms of GAD. Through the development of this framework, we seek to demonstrate that generative evaluation may be seen as a new locus of subjectivity in design.
keywords Machine Learning, Generative Design, Design Methods
series CAAD Futures
email
last changed 2019/07/29 14:08

_id caadria2019_422
id caadria2019_422
authors Wang, Xiao, Tang, Peng and Shi, Xing
year 2019
title Analysis and Conservation Methods of Traditional Architecture and Settlement Based on Knowledge Discovery and Digital Generation - A Case Study of Gunanjie Street in China
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 757-766
doi https://doi.org/10.52842/conf.caadria.2019.1.757
summary In the conservation plan of traditional architecture and settlement, the mismatch between design and construction is an inevitable problem. The mismatch commonly shows as the variations in the cognition of the traditionality of architecture feature. In most cases, the evaluation of historical feature is made based on designers' subjective perception, experience, and understanding of the traditional style. Also, without an appropriate guide and unified control, it could make the conservation plan less efficient in practice. Therefore, a quantitative method for conservation plan is needed, which is expected to be effective especially for massive non-key but traditional ordinary buildings. In this study on Gunanjie Street, in Yixing, China, a new method of feature analysis and generative design was developed to regenerate the district. The proposed method first adapted new data acquisition and processing techniques to gather information and build the database. Cognition investigation and morphology analysis were then implemented to quantify and evaluate the features of historical characteristics, as well as the knowledge discovery tools, were further used to abstract the rules of the traditional facade. With these phases, the proposed method was able to generate the referable design schemes quantitatively and establish generally accepted conservation plans and guidelines.
keywords Traditional architecture and settlement; historical feature; Knowledge Discovery; digital generation; conservation
series CAADRIA
email
last changed 2022/06/07 07:58

_id acadia19_60
id acadia19_60
authors Yousif, Shermeen; Yan, Wei
year 2019
title Application of an Automatic Shape Clustering Method
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 60-69
doi https://doi.org/10.52842/conf.acadia.2019.060
summary Despite their prevalence and extensive applications, generative and design optimization systems lack effective organizational methods of the excessive number of design options they produce, which is problematic for designers’ interaction. Ideally, a diverse and organized set of designs can mediate successful designers’ evaluation and exploration of the design space. Cluster analysis, a big-data management strategy, offers a solution. Yet, there is a need for investigating appropriate methods for applying cluster-analysis to a dataset of geometric shapes. Therefore, we have recently developed and published a new approach, the Shape Clustering using K-Medoids (SC-KM) method as an articulation mechanism in generative systems. The method involves shape description, shape difference measure calculation, and implementation of the K-Medoids clustering algorithm. The focus of this work is on incorporating the method into a generative system with parametric building shape generation and design optimization. The method organizes a dataset of shapes into clusters where shapes within the cluster share similarities yet differ from other clusters, and each cluster is signified by one representative shape. The SC-KM method contributes to an organized design presentation and facilitates designers’ examination of their designs’ geometric qualities.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:57

_id ijac202119302
id ijac202119302
authors BuHamdan, Samer; Alwisy, Aladdin; Bouferguene, Ahmed
year 2021
title Generative systems in the architecture, engineering and construction industry: A systematic review and analysis
source International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 226–249
summary Researchers have been extensively exploring the employment of generative systems to support design practices in the architecture, engineering and construction industry since the 1970s. More than half a century passed since the first architecture, engineering and construction industry’s generative systems were developed; researchers have achieved remarkable leaps backed by advances in computing power and algorithms’ capacity. In this article, we present a systematic analysis of the literature published between 2009 and 2019 on the utilization of generative systems in the design practices of the architecture, engineering and construction industry. The present research studies present trends, collaborations and applications of generative systems in the architecture, engineering and construction industry in order to identify existing shortcomings and potential advancements that balance the need for theory development and practical application. It provides insightful observations that are translated into meaningful recommendations for future research necessary to progress the incorporation of generative systems into the design practices of the architecture, engineering and construction industry.
keywords Generative systems, architecture, engineering and construction industry, performative design, generative design, systematic literature review, future directions
series journal
email
last changed 2024/04/17 14:29

_id caadria2019_280
id caadria2019_280
authors Hack, Norman, Lindemann, Hendrik and Kloft, Harald
year 2019
title Adaptive Modular Spatial Structures for Shotcrete 3D Printing
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 363-372
doi https://doi.org/10.52842/conf.caadria.2019.2.363
summary This paper presents a modular, digital construction system for lightweight spatial structures made from reinforced concrete. For design and fabrication, a digital workflow is presented, which includes the rationalization of a freeform geometry into adaptive spatial modules made up entirely of planar components. For fast and precise fabrication, these components are 3D printed using a novel 3D concrete printing technology called "Shotcrete 3D Printing". The ongoing research is demonstrated by an initial real-scale prototype of one exemplary spatial module. Lastly, the paper provides an outlook into future research, which is necessary to make this digital construction system applicable to the real-scale construction of large, wide-spanning structures.
keywords Robotic Fabrication; Digital Construction Systems; Shotcrete 3D Printing; Modular Structures
series CAADRIA
email
last changed 2022/06/07 07:50

_id ecaadesigradi2019_078
id ecaadesigradi2019_078
authors Kim, Eonyong, Jeon, Hyunwoo, Jun, Hanjong and Lee, Seongjoon
year 2019
title The Development of Architectural Design Environment for BIPV using BIM
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 223-232
doi https://doi.org/10.52842/conf.ecaade.2019.1.223
summary BIPV is a building integrated photovoltaic power generation system, which is used for building finishing materials, roof, and wall, so there is no need for separate installation space, and the usability is continuously increasing in urban areas with relatively small installation space. And continues to increase. BIPV is a building-integrated type, but the application plan should be made from the early stage of design. However, there is a lack of BIPV related design information. As a result, the possibility of integrating BIPV and building design is reduced and BIPV is applied in a limited range. Method: BIM-based BIPV design process, BIPV installable location, BIPV elevation design factor. And the theory necessary to implement the support model. Lastly, usability was examined using the support model. Result: This study describes a BIM-based design support model for BIPV installed elevation design that designers can apply BIPV installation location planning and design in a BIM environment.
keywords Building Integrated Photovoltaic System ; Building Information Modelling ; Shadow Analysis ; Array design
series eCAADeSIGraDi
email
last changed 2022/06/07 07:52

_id acadia19_586
id acadia19_586
authors Mitterberger, Daniela; Derme, Tiziano
year 2019
title Soil 3D Printing
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 586-595
doi https://doi.org/10.52842/conf.acadia.2019.586
summary Despite, the innovation of additive manufacturing (AM) technology, and in spite of the existence of natural bio-materials offering notable mechanical properties, materials used for AM are not necessarily more sustainable than materials used in traditional manufacturing. Furthermore, potential material savings may be partially overshadowed by the relative toxicity of the material and binders used for AM during fabrication and post-fabrication processes, as well as the energy usage necessary for the production and processing workflow. Soil as a building material offers a cheap, sustainable alternative to non-biodegradable material systems, and new developments in earth construction show how earthen buildings can create light, progressive, and sustainable structures. Nevertheless, existing large-scale earthen construction methods can only produce highly simplified shapes with rough detailing. This research proposes to use robotic additive manufacturing processes to overcome current limitations of constructing with earth, supporting complex three-dimensional geometries, and the creation of novel organic composites. More specifically the research focuses on robotic binder-jetting with granular bio-composites and non-toxic binding agents such as hydrogels. This paper is divided into two main sections: (1) biodegradable material system, and (2) multi-move robotic process, and describes the most crucial fabrication parameters such as compaction pressure, density of binders, deposition strategies and toolpath planning as well as identifying the architectural implications of using this novel biodegradable fabrication process. The combination of soil and hydrogel as building material shows the potential of a fully reversible construction process for architectural components and foresees its potential full-scale architectural implementations.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:58

_id cdrf2021_286
id cdrf2021_286
authors Yimeng Wei, Areti Markopoulou, Yuanshuang Zhu,Eduardo Chamorro Martin, and Nikol Kirova
year 2021
title Additive Manufacture of Cellulose Based Bio-Material on Architectural Scale
source Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)

doi https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_27
summary There are severe environmental and ecological issues once we evaluate the architecture industry with LCA (Life Cycle Assessment), such as emission of CO2 caused by necessary high temperature for producing cement and significant amounts of Construction Demolition Waste (CDW) in deteriorated and obsolete buildings. One of the ways to solve these problems is Bio-Material. CELLULOSE and CHITON is the 1st and 2nd abundant substance in nature (Duro-Royo, J.: Aguahoja_ProgrammableWater-based Biocomposites for Digital Design and Fabrication across Scales. MIT, pp. 1–3 (2019)), which means significantly potential for architectural dimension production. Meanwhile, renewability and biodegradability make it more conducive to the current problem of construction pollution. The purpose of this study is to explore Cellulose Based Biomaterial and bring it into architectural scale additive manufacture that engages with performance in the material development, with respect to time of solidification and control of shrinkage, as well as offering mechanical strength. At present, the experiments have proved the possibility of developing a cellulose-chitosan- based composite into 3D-Printing Construction Material (Sanandiya, N.D., Vijay, Y., Dimopoulou, M., Dritsas, S., Fernandez, J.G.: Large-scale additive manufacturing with bioinspired cellulosic materials. Sci. Rep. 8(1), 1–5 (2018)). Moreover, The research shows that the characteristics (Such as waterproof, bending, compression, tensile, transparency) of the composite can be enhanced by different additives (such as xanthan gum, paper fiber, flour), which means it can be customized into various architectural components based on Performance Directional Optimization. This solution has a positive effect on environmental impact reduction and is of great significance in putting the architectural construction industry into a more environment-friendly and smart state.
series cdrf
email
last changed 2022/09/29 07:53

_id ecaadesigradi2019_140
id ecaadesigradi2019_140
authors Zahedi, Ata and Petzold, Frank
year 2019
title Interaction with analysis and simulation methods via minimized computer-readable BIM-based communication protocol
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 241-250
doi https://doi.org/10.52842/conf.ecaade.2019.1.241
summary The early stages of building design are characterized by a continuous endeavor for the development of variants and their evaluation and consistent detailing. The concept of adaptive detailing aims to enable the architect to evaluate and compare design variants which are partially incomplete and vague (Zahedi and Petzold 2018b). This paper discusses a minimized communication protocol based on BIM, which enables computer-readable interactions between the architect and different domain-experts (representing various analysis and simulation procedures) (Zahedi and Petzold 2018a). This comprises the selection of simulation procedures as well as any necessary consolidation of the information content according to the requirements of the simulations. Any additions required on the part of the simulation procedures are visually prepared globally or space-and component-oriented respectively, in order to perform detailing of a building model in a targeted way. Moreover, this paper proposes various supportive methods for visual representation and exploration of analysis results.
keywords Building Information Modeling (BIM); Early Stages of Design; Adaptive Detailing; Minimized Communication Protocol
series eCAADeSIGraDi
email
last changed 2022/06/07 07:57

_id acadia19_246
id acadia19_246
authors Zhang, Viola; Qian, William; Sabin, Jenny
year 2019
title PolyBrickH2.0
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 246-257
doi https://doi.org/10.52842/conf.acadia.2019.246
summary This project emerged from collaborative trans-disciplinary research between architecture, engineering, biology, and materials science to generate novel applications in micro-scale 3D printed ceramics. Specifically, PolyBrick H2.0 adapts internal bone-based hydraulic networks through controlled water flow from 3D printed micro-textures and surface chemistry. Engagement across disciplines produced the PolyBrick series at the Sabin Lab (Sabin, Miller, and Cassab 2014) . The series is a manifestation of novel digital fabrication techniques, bioinspired design, materials inquiry, and contemporary evolutions of building materials. A new purpose for the brick is explored that is not solely focused on the mechanical constraints necessary for built masonry structures. PolyBrick H2.0 interweaves the intricacies of living systems (beings and environments combined) to create a more responsive and interactive material system. The PolyBrick 2.0 series looks at human bone as a design model for foundational research. PolyBrick H2.0 merges the cortical bone hydraulic network with new functionalities as a water filtration and collection system for self-preservation and conservation as well as passive cooling solutions. It also pushes the ability of 3D printing techniques to the microscale. These functionalities are investigated under context for a better construction material, but its use may extend further.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:57

_id ijac201917105
id ijac201917105
authors Agkathidis, Asterios; Yorgos Berdos and André Brown
year 2019
title Active membranes: 3D printing of elastic fibre patterns on pre-stretched textiles
source International Journal of Architectural Computing vol. 17 - no. 1, 74-87
summary There has been a steady growth, over several decades, in the deployment of fabrics in architectural applications; both in terms of quantity and variety of application. More recently, three-dimensional printing and additive manufacturing have added to the palette of technologies that designers in architecture and related disciplines can call upon. Here, we report on research that brings those two technologies together – the development of active membrane elements and structures. We show how these active membranes have been achieved by laminating three-dimensional printed elasto-plastic fibres onto pre-stretched textile membranes. We report on a set of experimentations involving one-, two- and multi-directional geometric arrangements that take TPU 95 and polypropylene filaments and apply them to Lycra textile sheets, to form active composite panels. The process involves a parameterised design, actualised through a fabrication process including stress-line simulation, fibre pattern three-dimensional printing and the lamination of embossed patterns onto a pre-stretched membrane; followed by the release of tension afterwards in order to allow controlled, self-generation of the final geometry. Our findings document the investigation into mapping between the initial two-dimensional geometries and their resulting three-dimensional doubly curved forms. We also reflect on the products of the resulting, partly serendipitous, design process.
keywords Digital fabrication, three-dimensional printing, parametric design, material computation, fabrics
series journal
email
last changed 2019/08/07 14:04

_id ecaadesigradi2019_359
id ecaadesigradi2019_359
authors Tsikoliya, Shota, Kovaøík, David, Vasko, Imro, Garajová, Petra, Varga, Adam and Osifová, Marketa
year 2019
title InFoamed Matter - Robotic production and assembly of foam-injected structures
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 235-240
doi https://doi.org/10.52842/conf.ecaade.2019.2.235
summary Project InFoamed Matter works with foam and explores the internal logic of the material and develops a construction system based on fluidity and expansion. The basic unit of the system consists of two elements, that continuously exchange their roles in the construction process - the frame (controlling element made of paper or, in later development, from glass or carbon fiber cured in epoxy resin) and the expander (filling element consisting of 2k polyurethane foam). The expander fills up voids within the frame. While initially only the frame plays crucial structural role within a system, the expander being a filling element, eventually the hardening process switches the roles, hardened expander being the structural core and the frame being a form-defining tool. In later development, fiber frame creates a composite together with hardened expander, being able to resist both tension and compression forces. Project further proposes computational model, which generates positions and orientations for placing further components as well as a robotic fiber laying, assembly and injection system, which leads to novel automated construction system based on material behavior.
keywords robotic fabrication; foam; materiality; robotic assembly
series eCAADeSIGraDi
email
last changed 2022/06/07 07:57

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