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 194

_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 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
doi https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_27
source Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)

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 acadia23_v3_77
id acadia23_v3_77
authors Zahiri, Nima
year 2023
title Heigh-active Wood: Elasticity, Anisotropicity, and Hygroscopicity in Timber High-Rises
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary The term ‘height-active’ coined by Heino Engel refers to “structure systems, of which the main task is to collect loads from horizontal planes . . . and to vertically transmit them to the base . . . or high-rises accordingly.” (Engel 2013, 14) The focus of this paper is on the characteristics of height-active wood structures due to their vertical extension and susceptibility to horizontal loading. We shall argue that “more innovation can be expected from the advanced understanding of material characteristics, which can be integrated and taken advantage of in the design process, rather than homogenized, approximated or ignored.” (Correa, Krieg and Meyboom 2019, 74) Conventional construction, insofar, has employed linear and planar wood elements in a hierarchical manner. There is an interest to take advantage of wood’s flexibility to innovate free-form high-rise wood structures. Digitized material application of wood has a wide range of technical and functional adaptation. This field notes essay highlights the importance of three main material characteristics of wood – elasticity, anisotropicity, hygroscopicity – for structural design typology of evolving high-rise endeavors.
series ACADIA
type field note
email
last changed 2024/04/17 13:59

_id acadia20_136p
id acadia20_136p
authors López Lobato, Déborah; Charbel, Hadin
year 2020
title Foll(i)cle
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 136-141
summary In the early months of 2019, air pollution in Bangkok reached a record high, bringing national and international attention to the air quality in the South East Asian cosmopolitan. Although applications such as real-time pollution maps provide an environmental reading from the exterior, such information reveals the ‘here and now,’ where its record is inevitably lost through the ‘refreshing’ process of the live update and does not take increment and accumulation as factors to consider. The project was conceived around understanding the human body as precisely that medium that resists classification as either an interior or exterior environment that inherently performs as an impressionable record of its surroundings. Can a city’s toxicity be read through its living constituents? Can the living bodies that dwell, navigate, breathe, and process habitable environments be accessed? Can architecture retain a degree of independence while also performing as a beacon for the collective? Along this line of questioning, it was found that human hair can be transformed from a material that is effortlessly and continuously grown, cut, stylized, and discarded, and instead be intercepted and used in the production of public information gathering. Foll(i)cle is a collective being made of discarded human hair. Performing as a parliament for collectivity embedded with a protocol; the hairy pavilion invites the public in and presents them with a device at the center that hosts all the necessary equipment and information for anonymously and voluntarily providing hair samples for heavy metal analysis, the data of which is used in making a publically accessible toxi-cartography. Although humans are the primary subject for this study, the results suggest that extending the methodology to non-humans could prove useful in reading urban toxicity through various life forms.
series ACADIA
type project
email
last changed 2021/10/26 08:03

_id cf2019_032
id cf2019_032
authors Khean, Nariddh; Alessandra Fabbri, David Gerber and M. Hank Haeusler
year 2019
title Examining Potential Socio-economic Factors that Affect Machine Learning Research in the AEC Industry
source Ji-Hyun Lee (Eds.) "Hello, Culture!"  [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 254
summary Machine learning (ML) has increasingly dominated discussions about the shape of mankind’s future, permeating almost all facets of our digital, and even physical, world. Yet, contrary to the relentless march of almost all other industries, the architecture, engineering and construction (AEC) industry have lagged behind in the uptake of ML for its own challenges. Through a systematic review of ML projects from a leading global engineering firm, this paper investigates social, political, economic, and cultural (SPEC) factors that have helped or hindered ML’s uptake. Further, the paper discusses how ML is perceived at various points in the economic hierarchy, how effective forms of communication is vital in a highly-specialized workforce, and how ML’s unexpected effectiveness have forced policy makers to reassess data governance and privacy; all the while considering what this means for the adoption of ML in the AEC industry. This investigation, its methodology, background research, systematic review, and its conclusion are presented.
keywords Machine learning · Artificial intelligence · Research and development · Architecture, engineering, and construction industry · Social factors · Political factors · Economic factors · Cultural factors
series CAAD Futures
type normal paper
email
last changed 2019/07/29 14:17

_id caadria2019_330
id caadria2019_330
authors Pokhrel, M. K., Anderson, T. N. and Lie, T. T.
year 2019
title Maintaining Thermal Comfort of a Single-Sided Naturally Ventilated Model House by Intelligently Actuating Windows
doi https://doi.org/10.52842/conf.caadria.2019.1.705
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. 705-714
summary In New Zealand's (NZ) mild climatic conditions, most residential houses are ventilated naturally, mainly by opening windows. However, maintaining the indoor thermal comfort characteristics of a house by modulating natural ventilation is particularly challenging, as the solution is not explicit. Determining a solution requires a technique that adjusts openable window area while encapsulating the complexity, dynamics, and nonlinearity associated with the natural ventilation driving forces and building thermal behavior. By verifying that there exists a significant potential of regulating indoor thermal comfort of a relatively airtight and insulated house by adjusting window openable area; this work additionally confirmed an excellent capability of Artificial Neural Network (ANN) technique in predicting air temperature time-series of the naturally ventilated house. On the basis of these examinations, this work particularly developed a co-simulation strategy between building thermal-airflow model and the ANN model and demonstrated that windows could be regulated intelligently to modulate the natural ventilation and maintain indoor thermal comfort level during the summer period by applying Artificial Neural Network (ANN) based predictive controller technique.
keywords Natural Ventilation; Thermal Comfort ; Artificial Neural Network (ANN) ; Residential House ; Intelligent Windows
series CAADRIA
email
last changed 2022/06/07 08:00

_id acadia23_v1_196
id acadia23_v1_196
authors Bao, Ding Wen; Yan, Xin; Min Xie, Yi
year 2023
title Intelligent Form
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 196-201.
summary InterLoop employs previously developed workflows that enable multi-planar robotic bending of metal tubes with high accuracy and repeatability (Huang and Spaw 2022). The scale and complexity is managed by employing augmented reality (AR) technology in two capacities, fabrication and assembly (Jahn et al. 2018; Jahn, Newnham, and Berg 2022). The AR display overlays part numbers, bending sequences, expected geometry, and robot movements in real time as the robot fabrication is occurring. For assembly purposes, part numbers, centerlines, and their expected positional relationships are projected via quick response (QR) codes spatially tracked by the Microsoft Hololens 2 (Microsoft 2019). This is crucial due to the length and self-similarity of complex multi-planar parts that make them difficult to distinguish and orient correctly. Leveraging augmented reality technology and robotic fabrication uncovers a novel material expression in tubular structures with bundles, knots, and interweaving (Figure 1).
series ACADIA
type project
email
last changed 2024/04/17 13:58

_id acadia23_v1_180
id acadia23_v1_180
authors Huang, Lee-Su; Spaw, Gregory
year 2023
title InterLoop
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 180-187.
summary InterLoop employs previously developed workflows that enable multi-planar robotic bending of metal tubes with high accuracy and repeatability (Huang and Spaw 2022). The scale and complexity is managed by employing augmented reality (AR) technology in two capacities, fabrication and assembly (Jahn et al. 2018; Jahn, Newnham, and Berg 2022). The AR display overlays part numbers, bending sequences, expected geometry, and robot movements in real time as the robot fabrication is occurring. For assembly purposes, part numbers, centerlines, and their expected positional relationships are projected via quick response (QR) codes spatially tracked by the Microsoft Hololens 2 (Microsoft 2019). This is crucial due to the length and self-similarity of complex multi-planar parts that make them difficult to distinguish and orient correctly. Leveraging augmented reality technology and robotic fabrication uncovers a novel material expression in tubular structures with bundles, knots, and interweaving (Figure 1).
series ACADIA
type project
email
last changed 2024/04/17 13:58

_id acadia23_v2_340
id acadia23_v2_340
authors Huang, Lee-Su; Spaw, Gregory
year 2023
title Augmented Reality Assisted Robotic: Tube Bending
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 340-349.
summary The intent of this research is to study potential improvements and optimizations in the context of robotic fabrication paired with Augmented Reality (AR), leveraging the technology in the fabrication of the individual part, as well as guiding the larger assembly process. AR applications within the Architecture, Engineering, and Construction (AEC) industry have seen constant research and development as designers, fabricators, and contractors seek methods to reduce errors, minimize waste, and optimize efficiency to lower costs (Chi, Kang, and Wang 2013). Recent advancements have made the technology very accessible and feasible for use in the field, as demonstrated by seminal projects such as the Steampunk Pavilion in Tallinn, Estonia (Jahn, Newnham, and Berg 2022). These types of projects typically improve manual craft processes. They often provide projective guidelines, and make possible complex geometries that would otherwise be painstakingly slow to complete and require decades of artisanal experience (Jahn et al. 2019). Building upon a previously developed robotic tube bending workflow, our research implements a custom AR interface to streamline the bending process for multiple, large, complex parts with many bends, providing a pre-visualization of the expected fabrication process for safety and part-verification purposes. We demonstrate the utility of this AR overlay in the part fabrication setting and in an inadvertent, human-robot, collaborative process when parts push the fabrication method past its limits. The AR technology is also used to facilitate the assembly process of a spatial installation exploring a unique aesthetic with subtle bends, loops, knots, bundles, and weaves utilizing a rigid tube material.
series ACADIA
type paper
email
last changed 2024/12/20 09:12

_id acadia23_v1_174
id acadia23_v1_174
authors Nejur, Andrei
year 2023
title NoeudAL Pavilion: Ultralight folded nodes for bespoke geometries
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 174-179.
summary This research project, conducted at the University of Montreal School of Architecture, presents an innovative approach to the construction of reticulated structures, focusing on the development and application of a novel, ultralight aluminum node. The node, constructed from a folded, laser-cut, 1-mm aluminum sheet, is designed to accommodate wooden linear members with varied rectangular sections, making it adaptable to bespoke geometries and low valence nodes. This innovative design offers a solution to the long-standing challenge in the construction industry of balancing cost, customization, and weight for reticulated structures through novel node designs (Abdelwahab and Tsavdaridis 2019; Dyvik et al. 2023; Chilton 2007; Rochas 2014; Hassani et al. 2020).
series ACADIA
type project
email
last changed 2024/04/17 13:58

_id acadia23_v3_71
id acadia23_v3_71
authors Vassigh, Shahin; Bogosian, Biayna
year 2023
title Envisioning an Open Knowledge Network (OKN) for AEC Roboticists
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary The construction industry faces numerous challenges related to productivity, sustainability, and meeting global demands (Hatoum and Nassereddine 2020; Carra et al. 2018; Barbosa, Woetzel, and Mischke 2017; Bock 2015; Linner 2013). In response, the automation of design and construction has emerged as a promising solution. In the past three decades, researchers and innovators in the Architecture, Engineering, and Construction (AEC) fields have made significant strides in automating various aspects of building construction, utilizing computational design and robotic fabrication processes (Dubor et al. 2019). However, synthesizing innovation in automation encounters several obstacles. First, there is a lack of an established venue for information sharing, making it difficult to build upon the knowledge of peers. First, the absence of a well-established platform for information sharing hinders the ability to effectively capitalize on the knowledge of peers. Consequently, much of the research remains isolated, impeding the rapid dissemination of knowledge within the field (Mahbub 2015). Second, the absence of a standardized and unified process for automating design and construction leads to the individual development of standards, workflows, and terminologies. This lack of standardization presents a significant obstacle to research and learning within the field. Lastly, insufficient training materials hinder the acquisition of skills necessary to effectively utilize automation. Traditional in-person robotics training is resource-intensive, expensive, and designed for specific platforms (Peterson et al. 2021; Thomas 2013).
series ACADIA
type field note
email
last changed 2024/04/17 13:59

_id caadria2019_234
id caadria2019_234
authors Bamborough, Chris
year 2019
title The Nature of Data in Early Modern Architectural Practice.
doi https://doi.org/10.52842/conf.caadria.2019.2.343
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. 343-352
summary In contemporary data-driven society, forces of capital increasingly seek risk-averse decision making through data and digital calculation, aligned to this the discourse around design intelligence in architecture has begun to embrace the role of data and the technical non-human as much as the human. In parallel, the cultural understanding of data, in technologically mediated societies, has become tied to the digital representation of information experienced in everyday life, which in turn influences human practices. A problem exists in the dominance of scientific thought around data in architecture that exerts disciplinary bias towards quantity rather than quality. In contemporary digital practice, data is assumed to offer an objective characterisation of the world and have faithful representation through the mechanisms of the computer. From this shift, a macro question exists concerning the influence of data's conceptualisation on the physical products of architecture. To contribute to this overall question this paper considers the register of data in early modernism identified as a moment when scientific abstraction and the mapping capacity of the machine combine to afford recognisable data practices and infrastructures.
keywords Data; Design Practice; Infrastructure; History; Theory
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2019_307
id caadria2019_307
authors Nguyen, Binh Vinh Duc, Peng, Chengzhi and Wang, Tsung-Hsien
year 2019
title KOALA - Developing a generative house design system with agent-based modelling of social spatial processes
doi https://doi.org/10.52842/conf.caadria.2019.1.235
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. 235-244
summary The paper presents the development of an agent-based approach to modelling the interaction of human emotion and behaviour with built spaces. The study addresses how human behaviour and social relation can be represented and modelled to interact with a virtual built environment composed in parametric architectural geometry. KOALA, a prototype of agent-based modelling of social spatial dynamics at the core of a parametric architectural design environment is proposed. In building KOALA's system architecture, we adapted the PECS (Physical, Emotional, Cognitive, Social) reference model of human behaviour (Schmidt 2002) and introduced the concept of Social Spatial Comfort as a measurement of three key factors influencing human spatial experiences. KOALA was evaluated by a comparative modelling of two contrasting Vietnamese dwellings known to us. As expected, KOALA returns very different temporal characteristics of spatial modifications of the two dwellings over a simulated timeframe of one year. We discuss the lessons learned and further research required.
keywords Parametricism; generative house design system; architectural parametric geometry; human behaviour; social-spatial dynamics
series CAADRIA
email
last changed 2022/06/07 07:58

_id acadia20_202p
id acadia20_202p
authors Battaglia, Christopher A.; Verian, Kho; Miller, Martin F.
year 2020
title DE:Stress Pavilion
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 202-207
summary Print-Cast Concrete investigates concrete 3D printing utilizing robotically fabricated recyclable green sand molds for the fabrication of thin shell architecture. The presented process expedites the production of doubly curved concrete geometries by replacing traditional formwork casting or horizontal corbeling with spatial concrete arching by developing a three-dimensional extrusion path for deposition. Creating robust non-zero Gaussian curvature in concrete, this method increases fabrication speed for mass customized elements eliminating two-part mold casting by combining robotic 3D printing and extrusion casting. Through the casting component of this method, concrete 3D prints have greater resolution along the edge condition resulting in tighter assembly tolerances between multiple aggregated components. Print-Cast Concrete was developed to produce a full-scale architectural installation commissioned for Exhibit Columbus 2019. The concrete 3D printed compression shell spanned 12 meters in length, 5 meters in width, and 3 meters in height and consisted of 110 bespoke panels ranging in weight of 45 kg to 160 kg per panel. Geometrical constraints were determined by the bounding box of compressed sand mold blanks and tooling parameters of both CNC milling and concrete extrusion. Using this construction method, the project was able to be assembled and disassembled within the timeframe of the temporary outdoor exhibit, produce <1% of waste mortar material in fabrication, and utilize 60% less material to construct than cast-in-place construction. Using the sand mold to contain geometric edge conditions, the Print-Cast technique allows for precise aggregation tolerances. To increase the pavilions resistance to shear forces, interlocking nesting geometries are integrated into each edge condition of the panels with .785 radians of the undercut. Over extruding strategically during the printing process casts the undulating surface with accuracy. When nested together, the edge condition informs both the construction logic of the panel’s placement and orientation for the concrete panelized shell.
series ACADIA
type project
email
last changed 2021/10/26 08:08

_id acadia20_192p
id acadia20_192p
authors Doyle, Shelby; Hunt, Erin
year 2020
title Melting 2.0
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 192-197
summary This project presents computational design and fabrication methods for locating standard steel reinforcement within 3D printed water-soluble PVA (polyvinyl alcohol) molds to create non-standard concrete columns. Previous methods from “Melting: Augmenting Concrete Columns with Water Soluble 3D Printed Formwork” and “Dissolvable 3D Printed Formwork: Exploring Additive Manufacturing for Reinforced Concrete” (Doyle & Hunt 2019) were adapted for larger-scale construction, including the introduction of new hardware, development of custom programming strategies, and updated digital fabrication techniques. Initial research plans included 3D printing continuous PVA formwork with a KUKA Agilus Kr10 R1100 industrial robotic arm. However, COVID-19 university campus closures led to fabrication shifting to the author’s home, and this phase instead relied upon a LulzBot TAZ 6 (build volume of 280 mm x 280 mm x 250 mm) with an HS+ (Hardened Steel) tool head (1.2 mm nozzle diameter). Two methods were developed for this project phase: new 3D printing hardware and custom GCode production. The methods were then evaluated in the fabrication of three non-standard columns designed around five standard reinforcement bars (3/8-inch diameter): Woven, Twisted, Aperture. Each test column was eight inches in diameter (the same size as a standard Sonotube concrete form) and 4 feet tall, approximately half the height of an architecturally scaled 8-foot-tall column. Each column’s form was generated from combining these diameter and height restrictions with the constraints of standard reinforcement placement and minimum concrete coverage. The formwork was then printed, assembled, cast, and then submerged in water to dissolve the molds to reveal the cast concrete. This mold dissolving process limits the applicable scale for the work as it transitions from the research lab to the construction site. Therefore, the final column was placed outside with its mold intact to explore if humidity and water alone can dissolve the PVA formwork in lieu of submersion.
series ACADIA
type project
email
last changed 2021/10/26 08:08

_id caadria2019_626
id caadria2019_626
authors Hahm, Soomeen, Maciel, Abel, Sumitiomo, Eri and Lopez Rodriguez, Alvaro
year 2019
title FlowMorph - Exploring the human-material interaction in digitally augmented craftsmanship
doi https://doi.org/10.52842/conf.caadria.2019.1.553
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. 553-562
summary It has been proposed that, after the internet age, we are now entering a new era of the '/Augmented Age/' (King, 2016). Physician Michio Kaku imagined the future of architects will be relying heavily on Augmented Reality technology (Kaku, 2015). Augmented reality technology is not a new technology and has been evolving rapidly. In the last three years, the technology has been applied in mainstream consumer devices (Coppens, 2017). This opened up possibilities in every aspect of our daily lives and it is expected that this will have a great impact on every field of consumer's technology in near future, including design and fabrication. What is the future of design and making? What kind of new digital fabrication paradigm will emerge from inevitable technological development? What kind of impact will this have on the built environment and industry? FlowMorph is a research project developed in the Bartlett School of Architecture, B-Pro AD with the collaboration of the authors and students as a 12 month MArch programme, we developed a unique design project trying to answer these questions which will be introduced in this paper.
keywords Augmented Reality, Mixed Reality, Virtual Reality, Design Augmentation, Digital Fabrication, Cognition models, Conceptual Designing, Design Process, Design by Making, Generative Design, Computational Design, Human-Machine Collaboration, Human-Computer Collaboration, Human intuition in digital fabrication
series CAADRIA
email
last changed 2022/06/07 07:51

_id acadia20_382
id acadia20_382
authors Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year 2020
title Spatial Assembly with Self-Play Reinforcement Learning
doi https://doi.org/10.52842/conf.acadia.2020.1.382
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
summary We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id acadia20_142p
id acadia20_142p
authors Kilian, Axel
year 2020
title The Flexing Room
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 142-147
summary Robotics has been largely confined to the object category with fewer examples at the scale of buildings. Robotic buildings present unique challenges in communicating intent to the enclosed user. Precedent work in architectural robotics explored the performative dimension, the playful and interactive qualities, and the cognitive challenges of AI systems interacting with people in architecture. The Flexing Room robotic skeleton was installed at MIT at its full designed height for the first time and tested for two weeks in the summer of 2019. The approximately 13-foot-tall structure is comprised of 36 pneumatic actuators and an active bend fiberglass structure. The full height allowed for a wide range of postures the structure could take. Acoustic monitoring through Piezo pickup mics was added that allowed for basic rhythmic responses of the structure to people tapping or otherwise triggering the vibration sensors. Data streams were collected synchronously from Kinect skeleton tracking, piezo pickup mics, camera streams, and posture data. The emphasis in this test period was first to establish reliable hardware operations at full scale and second to record correlated data streams of the sensors installed in the structure together with the actuation triggers and the human poses of the inhabitant. The full-scale installation of hardware was successful and proved the feasibility of the structural and actuation approach previously tested on a one-level setup. The range of postures was increased and more transparent for the occupant. The perception of the structure as space was also improved as the system reached regular ceiling height and formed a clearer architectural scale enclosure. The ambition of communicating through architectural postures has not been achieved yet, but promising directions emerged from the test and data collection
series ACADIA
type project
email
last changed 2021/10/26 08:03

_id acadia20_176p
id acadia20_176p
authors Lok, Leslie; Zivkovic, Sasa
year 2020
title Ashen Cabin
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 176-181
summary Ashen Cabin, designed by HANNAH, is a small building 3D-printed from concrete and clothed in a robotically fabricated envelope made of irregular ash wood logs. From the ground up, digital design and fabrication technologies are intrinsic to the making of this architectural prototype, facilitating fundamentally new material methods, tectonic articulations, forms of construction, and architectural design languages. Ashen Cabin challenges preconceived notions about material standards in wood. The cabin utilizes wood infested by the Emerald Ash Borer (EAB) for its envelope, which, unfortunately, is widely considered as ‘waste’. At present, the invasive EAB threatens to eradicate most of the 8.7 billion ash trees in North America (USDA, 2019). Due to their challenging geometries, most infested ash trees cannot be processed by regular sawmills and are therefore regarded as unsuitable for construction. Infested and dying ash trees form an enormous and untapped material resource for sustainable wood construction. By implementing high precision 3D scanning and robotic fabrication, the project upcycles Emerald-Ash-Borer-infested ‘waste wood’ into an abundantly available, affordable, and morbidly sustainable building material for the Anthropocene. Using a KUKA KR200/2 with a custom 5hp band saw end effector at the Cornell Robotic Construction Laboratory (RCL), the research team can saw irregular tree logs into naturally curved boards of various and varying thicknesses. The boards are arrayed into interlocking SIP façade panels, and by adjusting the thickness of the bandsaw cut, the robotically carved timber boards can be assembled as complex single curvature surfaces or double-curvature surfaces. The undulating wooden surfaces accentuate the building’s program and yet remain reminiscent of the natural log geometry which they are derived from. The curvature of the wood is strategically deployed to highlight moments of architectural importance such as windows, entrances, roofs, canopies, or provide additional programmatic opportunities such as integrated shelving, desk space, or storage.
series ACADIA
type project
email
last changed 2021/10/26 08:08

_id acadia20_38
id acadia20_38
authors Mueller, Stephen
year 2020
title Irradiated Shade
doi https://doi.org/10.52842/conf.acadia.2020.1.038
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 38-46.
summary The paper details computational mapping and modeling techniques from an ongoing design research project titled Irradiated Shade, which endeavors to develop and calibrate a computational toolset to uncover, represent, and design for the unseen dangers of ultraviolet radiation, a growing yet underexplored threat to cities, buildings, and the bodies that inhabit them. While increased shade in public spaces has been advocated as a strategy for “mitigation [of] climate change” (Kapelos and Patterson 2014), it is not a panacea to the threat. Even in apparent shade, the body is still exposed to harmful, ambient, or “scattered” UVB radiation. The study region is a binational metroplex, a territory in which significant atmospheric pollution and the effects of climate change (reduced cloud cover and more “still days” of stagnant air) amplify the “scatter” of ultraviolet wavelengths and UV exposure within shade, which exacerbates urban conditions of shade as an “index of inequality” (Bloch 2019) and threatens public health. Exposure to indirect radiation correlates to the amount of sky visible from the position of an observer (Gies and Mackay 2004). The overall size of a shade structure, as well as the design of openings along its sides, can greatly impact the UV protection factor (UPF) (Turnbull and Parisi 2005). Shade, therefore, is more complex than ubiquitous urban and architectural “sun” and “shadow studies” are capable of representing, as such analyses flatten the three-dimensional nature of radiation exposure and are “blind” to the ultraviolet spectrum. “Safe shade” is contingent on the nuances of the surrounding built environment, and designers must be empowered to observe and respond to a wider context than current representational tools allow.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

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