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 acadia18_404
id acadia18_404
authors Clifford, Brandon; McGee, Wes
year 2018
title Cyclopean Cannibalism. A method for recycling rubble
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. 404-413
doi https://doi.org/10.52842/conf.acadia.2018.404
summary Each year, the United States discards 375 million tons of concrete construction debris to landfills (U.S. EPA 2016), but this is a new paradigm. Past civilizations cannibalized their constructions to produce new architectures (Hopkins 2005). This paper interrogates one cannibalistic methodology from the past known as cyclopean masonry in order to translate this valuable method into a contemporary digital procedure. The work contextualizes the techniques of this method and situates them into procedural recipes which can be applied in contemporary construction. A full-scale prototype is produced utilizing the described method; demolition debris is gathered, scanned, and processed through an algorithmic workflow. Each rubble unit is then minimally carved by a robotic arm and set to compose a new architecture from discarded rubble debris. The prototype merges ancient construction thinking with digital design and fabrication methodologies. It poses material cannibalism as a means of combating excessive construction waste generation.
keywords full paper, cyclopean, algorithmic, robotic fabrication, stone, shape grammars, computation
series ACADIA
type paper
email
last changed 2022/06/07 07:56

_id ecaade2018_439
id ecaade2018_439
authors Jose, Duarte, Nazarian, Shadi and Ashrafi, Negar
year 2018
title Designing Shelters for 3D-printing - A studio experiment
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. 31-38
doi https://doi.org/10.52842/conf.ecaade.2018.2.031
summary This paper describes an architectural design studio experiment, developed with the aim of exploring the interrelationship between the architectural design of basic shelters and additive manufacturing technology (aka 3D printing) using concrete. This fabrication technology has been developed over the past twenty years in various locations Worldwide and there has been some experiments on its use for making buildings. However, these experiments are still very limited in number and results, in the sense that do not fully explore the potential of the technology and its impact on the way we design and make buildings. The studio evolved in the context of a larger project in which a multidisciplinary team of researchers is developing the technology for the additive manufacturing in concrete. Research evolves along three main thrusts of work on materials, systems, and design. The studio introduced students to these various aspects, examined their interrelationships, impacts, and applications in architectural design and construction of buildings. The hope was to collect more information and feedback to inform the overarching research. Results showed the feasibility of the technology and identified issues that need to be addressed in future research.
keywords additive manufacturing; 3D printing; concrete; design education
series eCAADe
email
last changed 2022/06/07 07:52

_id ecaade2018_402
id ecaade2018_402
authors Ron, Gili, Shallaby, Sara and Antonako, Theofano
year 2018
title On-Site Fabrication and Assembly for Arid Region Settlements
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. 801-810
doi https://doi.org/10.52842/conf.ecaade.2018.1.801
summary With fast growing population rates and the further desertification of the global climate, desert regions, covering one fifth of the world's surface, provide an opportunity for future habitats. However, their extreme climatic conditions and remoteness pose a planning challenge, currently addressed with prefabrication and layered design; wasteful and costly solutions. This article proposes a bespoke design, fabrication and assembly process: performed in-situ with using local resources and novel automation. The research addresses challenges in on-site robotic forming and assembly of mono-material discrete elements, made in waterless concrete of sand-Sulphur composite. The formed components are examined in formwork-free assembly of wall and arch, with Pick & Place tool-path. The component's design incorporates topological and osteomorphic interlocking, facilitating structural integrity, as well as self-shading and passive cooling, to fit with local climate. This work culminates in a design proposal for constructing desert habitats, climatically adapted for Zagora oasis in the Moroccan Sahara: a remote site of hyper-arid climate.
keywords Material System; Vernacular Architecture; Digital Morphogenesis; Topological Interlocking; Robotic Fabrication; Robotic Assembly
series eCAADe
email
last changed 2022/06/07 07:56

_id ecaade2018_311
id ecaade2018_311
authors Vazquez, Elena and Shaffer, Marcus
year 2018
title Bring in the Noise - A robotic-aided framework for the indirect shape translation and molding of inexact geometries.
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. 827-834
doi https://doi.org/10.52842/conf.ecaade.2018.1.827
summary This paper examines how mediated translations that embrace indeterminacy - from design to fabrication - can enhance material and tactile explorations. It investigates a dialogue between a digital environment that supports the design process, and fabrication processes that combine tools that are both precise (the robot) and indeterminate (casting/forming devices) in their essential functions. We present a research inquiry into this issue by providing a reflective account of a robotics-aided framework for the fabrication of inexact geometries using reconfigurable pin tools (RPT). These tools, with their inherent indeterminacy and variability, were used as a base mold for casting blocks in concrete and plaster. The central thesis of this paper is that a non-linear fabrication process - one imbued with variability rather than deterministically controlled for formulaic production/outcome - becomes a potent generator of novel forms. By focusing on process, rather than on the product of design, designers can subvert the geometrical control inherent in a digital-material output, thus favoring discovery over order and material sensitivity over determinacy - essential qualities in progressive architecture practice.
keywords Reconfigurable pin tool; Robotics; Indeterminacy ; Material exploration
series eCAADe
email
last changed 2022/06/07 07:58

_id ecaade2018_182
id ecaade2018_182
authors Ghandi, Mona
year 2018
title Designing Affordable, Portable, and Flexible Shelter for the Homeless and the Refugees
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. 307-316
doi https://doi.org/10.52842/conf.ecaade.2018.1.307
summary Advances in computational algorithmic design, material science, and fabrication technology have exposed architects to new opportunities in design and enabled them to address contemporary needs of cities and citizens. The far-reaching applications of this technology have provided students with a bewildering array of new tools for their design exploration. Among many of the socio-economic and political challenges facing today's world, homelessness and refugee crisis are the most critical. "Shape Your Shelter" design-build studio aimed to create a portable and transformable shelter using emergent technologies. This paper reviews some of the central concepts of such an endeavor and the role of computational design, digital fabrication, and material behavior as a medium of architectural design education and social services. It describes how these concepts can be used in a pedagogical framework to encourage student Innovation and increase students' engagement in new technological resources as they address critical contemporary and future social issues.
keywords Transformable Structures; Portable Architecture; Collaborative and Participative Design; Homeless / Refugee Shelter; CAAD Education; Social Architecture
series eCAADe
email
last changed 2022/06/07 07:51

_id ecaade2018_194
id ecaade2018_194
authors Paixao, Jose, Fend, Florian and Hirschberg, Urs
year 2018
title Break It Till You Make It - A design studio for problem-finding
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. 753-762
doi https://doi.org/10.52842/conf.ecaade.2018.1.753
summary In a context where architectural education is undergoing great transformations due to the impact of digital technology, the authors present a design studio model that rather than teaching how to operate the tool en vogue focuses on the formulation of questions. Traditional pedagogic practices have privileged answers in knowledge production, but an alternative is proposed. A methodology was devised in which problem-finding is moved forward by an iterative process of experimental making. This was tested in Winter 2017 with results showing a diversity in questions raised, but also the premature discontinuation of several paths of inquiry. Only one completed all 6 planned iterations and benefited from the final, in which the building of a 1:1 prototype informed its research focus. The conclusions highlight the contribution of this model in preparing future practitioners with an attitude of inquiry and drive to experiment that will resist obsoleteness from rapid technological developments.
keywords Architectural Education; Design Studio; Problem-Based Learning; Material Systems; Digital Fabrication; Wood Construction
series eCAADe
email
last changed 2022/06/07 08:00

_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
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
doi https://doi.org/10.52842/conf.acadia.2018.250
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 caadria2019_329
id caadria2019_329
authors Zhao, Yao, Zhu, Weiran and Yuan, Philip F.
year 2019
title From Acoustic Data Perception to Visualization Design
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. 393-402
doi https://doi.org/10.52842/conf.caadria.2019.1.393
summary This research project is based on the research results from the "Acoustic Visualization Group" of Digital FUTURES Summer Workshop in Shanghai, 2018. In this workshop, students use sound data acquisition sound collection equipment to collect sound information in the space and transform it into digital data. After analyzing the data, they present it as a visible form and design the sound interaction device based on the results. This study combines the media art and digital technology to transform the invisible acoustics digital information into a tangibly visible experiencing space and to mix the virtual acoustics space, realistic light- and- shadow space and the three-dimension material space in multi-dimensions through the digital programming and generative art design. Acoustic visualization interaction design is a comprehensive attempt which mixed with several research fields such as architecture device design, digital media technology, human-computer interaction and architecture environment science.
keywords Acoustic Visualization; Digital FUTURES; Interaction Device
series CAADRIA
email
last changed 2022/06/07 07:57

_id caadria2019_204
id caadria2019_204
authors Calixto, Victor, Gu, Ning and Celani, Gabriela
year 2019
title A Critical Framework of Smart Cities Development
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. 685-694
doi https://doi.org/10.52842/conf.caadria.2019.2.685
summary This paper investigates through a review of the current literature on smart cities, reflecting different concepts across different political-social contexts, seeking to contribute to the establishment of a critical framework for smart cities development. The present work provides a review of the literature of 250 selected publications from four databases (Scielo, ScienceDirect, worldwide science, and Cumincad), covering the years from 2012 to 2018. Publications were categorised by the following steps: 3RC framework proposed by Kummitha and Crutzen (2017), the main political sectors of city planning, implementation strategies, computational techniques, and organisation rules. The information was analised graphically trying to identify tendencies along the time, and also, seeking to explore future possibilities for implementations in different political-social contexts. As a case of study, Australia and Brazil were compared using the proposed framework.
keywords smart city; smart cities; literature review
series CAADRIA
email
last changed 2022/06/07 07:54

_id ecaade2018_164
id ecaade2018_164
authors Chang, Mei-Chih, Buš, Peter, Tartar, Ayça, Chirkin, Artem and Schmitt, Gerhard
year 2018
title Big-Data Informed Citizen Participatory Urban Identity Design
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. 669-678
doi https://doi.org/10.52842/conf.ecaade.2018.2.669
summary The identity of an urban environment is important because it contributes to self-identity, a sense of community, and a sense of place. However, under present-day conditions, the identities of expanding cities are rapidly deteriorating and vanishing, especially in the case of Asian cities. Therefore, cities need to build their urban identity, which includes the past and points to the future. At the same time, cities need to add new features to improve their livability, sustainability, and resilience. In this paper, using data mining technologies for various types of geo-referenced big data and combine them with the space syntax analysis for observing and learning about the socioeconomic behavior and the quality of space. The observed and learned features are identified as the urban identity. The numeric features obtained from data mining are transformed into catalogued levels for designers to understand, which will allow them to propose proper designs that will complement or improve the local traditional features. A workshop in Taiwan, which focuses on a traditional area, demonstrates the result of the proposed methodology and how to transform a traditional area into a livable area. At the same time, we introduce a website platform, Quick Urban Analysis Kit (qua-kit), as a tool for citizens to participate in designs. After the workshop, citizens can view, comment, and vote on different design proposals to provide city authorities and stakeholders with their ideas in a more convenient and responsive way. Therefore, the citizens may deliver their opinions, knowledge, and suggestions for improvements to the investigated neighborhood from their own design perspective.
keywords Urban identity; unsupervised machine learning; Principal Component Analysis (PCA); citizen participated design; space syntax
series eCAADe
email
last changed 2022/06/07 07:56

_id caadria2018_000
id caadria2018_000
authors T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year 2018
title CAADRIA 2018: Learning, Prototyping and Adapting, Volume 1
source Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, 578 p.
doi https://doi.org/10.52842/conf.caadria.2018.1
summary Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series CAADRIA
last changed 2022/06/07 07:49

_id caadria2018_001
id caadria2018_001
authors T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year 2018
title CAADRIA 2018: Learning, Prototyping and Adapting, Volume 2
source Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, 610 p.
doi https://doi.org/10.52842/conf.caadria.2018.2
summary Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series CAADRIA
last changed 2022/06/07 07:49

_id ecaade2018_261
id ecaade2018_261
authors Austern, Guy, Capeluto, Isaac Guedi and Grobman, Yasha Jacob
year 2018
title Rationalization and Optimization of Concrete Façade Panels
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. 727-734
doi https://doi.org/10.52842/conf.ecaade.2018.1.727
summary The presented research develops methods for introducing fabrication constraints into architectural design, a process often referred to as design rationalization. In the first stage of the research, a computational method for evaluating the fabrication potential of geometries was developed. The method predicts the feasibility, material use and machining time of a geometry in relation to different fabrication techniques. It uses geometric properties to mathematically estimate these parameters without simulating the actual machining. The second stage of the research describes processes for adapting architectural designs to their fabrication technique. The evaluation method previously developed is used as a fitness criterion for a computational optimization algorithm aimed at adapting concrete façade elements to the fabrication constraints of their molds. A case study demonstrates how the optimization process succeeded in improving the feasibility of different geometries within a time-frame suitable to the architectural design process, and without significant changes to the initial design.
keywords Optimization; Digital Fabrication; Rationalization; Computational Design Process
series eCAADe
email
last changed 2022/06/07 07:54

_id acadia18_136
id acadia18_136
authors Austern, Guy; Capeluto, Isaac Guedi; Grobman, Yasha Jacob
year 2018
title Fabrication-Aware Design of Concrete Façade Panels. A Computational Method For Evaluating the Fabrication of Large- Scale Molds in Complex Geometries
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. 136-145
doi https://doi.org/10.52842/conf.acadia.2018.136
summary This paper presents a design methodology for concrete façade panels that takes into consideration constraints related to digital fabrication machinery. A computational method for the real-time evaluation of industrial mold-making techniques, such as milling and hot wire cutting, was developed. The method rapidly evaluates the feasibility, material use, and machining time of complex geometry molds for architectural façade elements. Calculation speed is achieved by mathematically approximating CAM-machining operations. As results are obtained in nearly real time, the method can be easily incorporated into the architectural design process during its initial stages, when changes to the design are more effective.

In the paper, we describe the algorithms of the computational evaluation method. We also show how it can be used to introduce fabrication considerations into the design process by using it to rationalize several types of panels. Additionally, we demonstrate how the method can be used in complex, large-scale architectural projects to save machining time and materials by evaluating and altering the paneling subdivision.

keywords full paper, fabrication & robotics, digital fabrication, performance + simulation, geometry
series ACADIA
type paper
email
last changed 2022/06/07 07:54

_id caadria2018_156
id caadria2018_156
authors Chee, Ryan Wei Shen, Tan, Wei Lin, Goh, Wei Hern, Amtsberg, Felix and Dritsas, Stylianos
year 2018
title Locally Differentiated Concrete by Digitally Controlled Injection
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. 195-204
doi https://doi.org/10.52842/conf.caadria.2018.1.195
summary This paper presents a digital fabrication process for concrete which may be deployed for surface texturing, volumetric modification of material properties and 2D and 3D forming. We process concrete in its slurry state by locally injecting chemicals in solution which cause vigorous effervescent reaction to take place. By precise and controlled dispensing, using computer software and robotic hardware developed, we produce local differentiation in the finally set concrete artefacts. Our work contributes to additive and subtractive 3D manufacturing as well as functionally graded materials fabrication.
keywords Digital Fabrication; Additive Manufacturing; Functionally Graded Materials; Architectural Robotics.
series CAADRIA
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
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
doi https://doi.org/10.52842/conf.caadria.2018.1.287
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 ecaade2018_425
id ecaade2018_425
authors Foged, Isak Worre and Jensen, Mads Brath
year 2018
title Thermal Compositions Through Robot Based Thermal Mass Distribution
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. 783-790
doi https://doi.org/10.52842/conf.ecaade.2018.1.783
summary This work develops, implement and test a method and model for the distribution of material in relation to thermal performances through robot based extrusion of concrete. The aim is to suggest a way for architecture to use advanced fabrication techniques towards environmental passive strategies, which potentially decrease a buildings operative energy budget, while creating articulated thermal sensations for humans. Through computational, material and design explorations, by prototypes and a final demonstrator, the work proposes how thermal mass can be organized both in terms of its robot based successive fabrication based layering and as an approach to generate an assembly of thermal based building blocks into architectural structures.
keywords Robot based concrete extrusion; Thermal Architecture; Simulation; Demonstrator
series eCAADe
email
last changed 2022/06/07 07:51

_id acadia23_v1_34
id acadia23_v1_34
authors Gascon Alvarez, Eduardo; Curth, Alexander (Sandy); Feickert, Kiley; Martinez Schulte, Dinorah; Mueller, Caitlin; Ismail, Mohamed
year 2023
title Algorithmic Design for Low-Carbon, Low-Cost Housing Construction in Mexico
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 34-38.
summary Mexico is one of the most urbanized countries in the Global South, and simultaneously faces a rapidly increasing population and a deluge of inadequate housing (URBANET 2019). In 2016, it was estimated that 40 percent of all private residences in Mexico were considered inadequate by UN-Habitat (UN-Habitat 2018). As informal housing constitutes over half of all Mexican housing construction, the most vulnerable groups of the population are particularly impacted. Therefore, there is a serious need to innovate in the area of low-cost building construction for housing in Mexico. This research explores how shape-optimized concrete and earth construction could help provide adequate housing without jeopardizing the country’s commitment to sustainability.
series ACADIA
type project
email
last changed 2024/04/17 13:58

_id caadria2018_287
id caadria2018_287
authors Herr, Christiane M., Lombardi, Davide and Galobardes, Isaac
year 2018
title Parametric Design of Sculptural Fibre Reinforced Concrete Facade Components
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. 319-328
doi https://doi.org/10.52842/conf.caadria.2018.2.319
summary This paper presents the first stage of a study examining the digital design and fabrication of a parametrically defined sculptural concrete façade element employing fibre reinforced concrete. On the background of a literature review of related precedent studies, the paper extends the scope of previous studies by offering a detailed insight into the process of integrating architectural considerations with material properties of fibre reinforced concrete, detailed structural analysis and construction constraints. The paper offers technical details with a focus on material to similar on-going studies.
keywords parametric design; digital fabrication; digital prototyping; fibre reinforced concrete; prefabrication
series CAADRIA
email
last changed 2022/06/07 07:51

_id caadria2018_077
id caadria2018_077
authors Imanishi, Naoki, Ogihara, Hisayuki, Mohammed Aqil, Cheddadi, Hotta, Kensuke and Ikeda, Yasushi
year 2018
title Adaptable Design-Construction Method for Remote-Location - Experiment with Reverse-Engineering System to Expand the Possibilities of Natural Materials with Bamboo Concrete Shell as a Case Study
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. 327-336
doi https://doi.org/10.52842/conf.caadria.2018.1.327
summary In this paper, the aim is to develop a construction system that utilizes digital technology which measures the completed shape and checks its degree of safety. This is because in the case of conventional construction, it is assumed that drawing and structure are consistent by using advanced construction techniques. However, it cannot always be assumed that there are correct composition parts and advanced construction techniques in all geographical areas. Under such conditions, and through the use of digital technology, it can be easier to integrate the errors that occurred while the structure is being built as part of the construction process rather than to try to make the structure consistent with the original design.
keywords Remote-Locaton; Natural material; Adaptable model; Construction process; Bamboo
series CAADRIA
email
last changed 2022/06/07 07:50

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