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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 cdrf2019_124
id cdrf2019_124
authors Maider Llaguno-Munitxa and Elie Bou-Zeid
year 2020
title Sensing the Environmental Neighborhoods Mobile Urban Sensing Technologies (MUST) for High Spatial Resolution Urban Environmental Mapping
doi https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_12
source Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary Given the benefits of fine mapping of large urban areas affordably, mobile environmental sensing technologies are becoming increasingly popular to complement the traditional stationary weather and air quality sensing stations. However the reliability and accuracy of low-cost mobile urban technologies is often questioned. This paper presents the design of a fast-response, autonomous and affordable Mobile Urban Sensing Technology (MUST) for the acquisition of high spatial resolution environmental data. Only when accurate neighborhood scale environmental data is affordable and accessible for architects, urban planners and policy makers, can design strategies to enhance urban health be effectively implemented. The results of an experimental air quality sensing campaign developed within Princeton University Campus is presented.
series cdrf
email
last changed 2022/09/29 07:51
_id acadia20_124p
id acadia20_124p
authors Zhang, Catty Dan
year 2020
title Vents 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. 124-129
summary VENTS 2.0 is a responsive environment that relates the moving air at separate locations using real-time data transmission. Functioning as an exhibition installation, a kinetic canopy produces a “rain” of air puffs subtly felt on the skin with a visual pattern of color LED, translating environmental conditions elsewhere into visual, audial, and tactile experiences within the Wurster Gallery at the University of California at Berkeley. The project articulates forms of airflow as part of a dynamic spatial device that stimulates senses beyond sight in a contemporary exhibition setting. It establishes an active system that triggers the emergence of initial states of air and modulates its evolvement. The installation collects real-time and recorded wind velocities via weather API (Application Programmer Interface). The computed data input controls multisensorial effects output by an array of air chambers using a customized script running on a Raspberry Pi. Each chamber generates air vortex rings one can feel when collapsing onto the skin, a typological form of airflow widely used in both art installations and the gaming industry due to its visual and tactile properties. These puffs of air, produced asynchronously, are distributed across the space by a total of twenty-four pairs of chambers assembled onto modified umbrellas on a lightweight aluminum frame. Undulating along the central axis of the 2,200 square feet gallery, the canopy locates right above average human height, illuminating softly a series of projects on display underneath, while at the same time providing visitors unexpected encounters with the constructed “breezes,” the echoing sound, and the fluctuating light.
series ACADIA
type project
email
last changed 2021/10/26 08:03
_id cdrf2019_46
id cdrf2019_46
authors Adam Chernick, Christopher Morse, Steve London, Tim Li, David Ménard, John Cerone, and Gregg Pasquarelli
year 2020
title On-Site BIM-Enabled Augmented Reality for Construction
doi https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_5
source Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary We describe a prototype system for communicating building information and models directly to on-site general contractors and subcontractors. The system, developed by SHoP Architects, consists of a workflow of pre-processing information within Revit, post-processing information outside of Revit, combining data flows inside of a custom application built on top of Unity Reflect, and delivering the information through a mobile application on site with an intuitive user interface. This system incorporates augmented reality in combination with a dashboard of documentation views categorized by building element.
series cdrf
email
last changed 2022/09/29 07:51
_id sigradi2021_302
id sigradi2021_302
authors Bueno, Ernesto, Reis Balsini, André and Verde Zein, Ruth
year 2021
title Analysis by Algorithmic Modeling of Historiographical Data on Modern and Contemporary Brazilian Architecture
source Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 737–748
summary Are historiographic diagrams valid instruments for gauging the main constituent aspects of historiographic documentation of a body of architectural production? The paper aims to discuss the results obtained by algorithmic modeling and three-dimensional visualization of historiographic data. The analysis method proposes a diagrammatic approach to the research object, established from the fundamentals originally described by Zein (2020). The diagrams were created using the algorithmic modeling software Grasshopper, which allowed us to combine a precise recording of data with an original approach to its interpretation. From the data collected, Cartesian coordinates were established for the generation of curves and interpolation surfaces representative of the computed aspects of certain historiographic narratives. With wide application possibilities, the resulting algorithmic diagrams establish a new model for data analysis and visualization, which stands as a consistent alternative to other more commonly used digital bibliometric tools.
keywords Análise de dados, Big Data, Visualizaçao de dados, Historiografia, Arquitetura moderna brasileira
series SIGraDi
email
last changed 2022/05/23 12:11
_id sigradi2020_470
id sigradi2020_470
authors Iasbik, Marina Pires; Martinez, Andressa Carmo Pena; Gazel, Jorge Lira de Toledo
year 2020
title Integration of BIM and Algorithmic Design logics through data exchange between Grasshopper plugin and Revit and Archicad software
source SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 470-477
summary The Algorithmic Design's integration with BIM (Building Information Modeling), allows greater potential for formal design innovation, tasks automation, greater geometry control, data assignment, and project documentation throughout its life cycle. This paper aims to assist in this integration, analyzing some plugins for conversion from Grasshopper to Archicad and Revit. Based on a parameterized social housing model, interoperability tests were carried out to compare different workflows and discuss some strategies and logics of algorithmic modeling to facilitate the communication between Grasshopper and BIM.
keywords Algorithm design, Building information modeling, Parametric modeling, Project process, Interoperability
series SIGraDi
email
last changed 2021/07/16 11:49
_id ecaade2020_244
id ecaade2020_244
authors Simeone, Davide, Cursi, Stefano, Coraglia, Ugo Maria and Fioravanti, Antonio
year 2020
title Reasoning in Common Data Environments - Re-thinking CDEs to enhance collaboration in BIM processes
doi https://doi.org/10.52842/conf.ecaade.2020.2.499
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 499-506
summary In BIM processes, the concept of Common Data Environment - CDE - has often been depicted as a key element for successful collaboration and information sharing among different actors but, in current practice, acts as a mere documentation repository ineffective for true collaborative purposes. Therefore, the idea of CDE seems to be overrated on the one hand and unexploited on the other, while effective collaboration is still far from being decisively supported. To overcome this lack, the present research focuses on the definition of a new generation of CDEs, enhanced with an information level for knowledge integration provided by different information carriers such as models and datasets. The paper discusses its development through a graph database platform and dedicated methodologies for data retrieval and query, to verify coherence and consistency of information among different models.
keywords Collaboration in AEC processes; Common Data Environment; Graph Databases; Building Information Modeling; Queries and data retrieval
series eCAADe
email
last changed 2022/06/07 07:56
_id ecaade2020_240
id ecaade2020_240
authors Bouza, Hayley and Aºut, Serdar
year 2020
title Advancing Reed-Based Architecture through Circular Digital Fabrication
doi https://doi.org/10.52842/conf.ecaade.2020.1.117
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 117-126
summary This paper presents a completed research project that proposes a new approach for creating circular buildings through the use of biodegradable, in situ resources with the help of computational design and digital fabrication technologies. Common Reed (Phragmites Australis) is an abundantly available natural material found throughout the world. Reed is typically used for thatch roofing in Europe, providing insulation and a weather-tight surface. Elsewhere, traditional techniques of weaving and bundling reeds have long been used to create entire buildings. The use of a digital production chain was explored as a means towards expanding the potential of reed as a sustainable, locally produced, construction material. Following an iterative process of designing from the micro to the macro scale and by experimenting with robotic assembly, the result is a reed-based system in the form of discrete components that can be configured to create a variety of structures.
keywords Phragmites Australis; Reed; Discrete Design; Robotic Assembly; Circular Design; Biodegradable Architecture
series eCAADe
email
last changed 2022/06/07 07:54
_id cdrf2021_13
id cdrf2021_13
authors Hao Wen, Pengcheng Gu, Yuchao Zhang, Shuai Zou, and Patrik Schumacher
year 2021
title A Generative Approach to Social Ecologies in Project [Symbios]City
doi https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_2
source Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary The following paper talks about the studio project [Symbios]City, which is developed as a design research project in 2020–2021 Schumacher’ studio on social ecology of the graduate program in Architectural Association’s design research lab. The project aims to create an assemblage of social ecologies through a rich but cohesive multi-authored urban district. The primary ambition is to generate an urban area with a characterful, varied identity, that achieves a balanced order between unity and difference avoiding both the sterile and disorienting monotony of centrally planned modernist cities and the (equally disorienting) visual chaos of an agglomeration of utterly unrelated interventions as we find now frequently. Through a thorough research process, our project evolves mainly out of three principles that are taken into consideration for the development of our project: topological optimization, phenomenology, and ecology. By “ecology”, we understand it as a living network of information exchange. Therefore, every strategy we employ is not merely about reacting to the weather conditions, but instead it is an inquiry into the various ways we can exploit the latter, a translation of the weather conditions into spatial and programmatic properties. [Symbios]City therefore aims at developing a multi-authored urban area with a rich identity that achieves a balance between the various elements. [Symbios]City began formally from topological optimization, developed based on studies on ecology, and concluded the design following our phenomenological explorations, aiming at a complex design project that unifies the perception of all scales of design: from the platform to the skyscrapers.
series cdrf
email
last changed 2022/09/29 07:53
_id caadria2020_395
id caadria2020_395
authors Loo, Stella Yi Ning, Jayashankar, Dhileep Kumar, Gupta, Sachin and Tracy, Kenneth
year 2020
title Hygro-Compliant: Responsive Architecture with Passively Actuated Compliant Mechanisms
doi https://doi.org/10.52842/conf.caadria.2020.1.223
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 223-232
summary Research investigating water-driven passive actuation demonstrates the potential to transform how buildings interact with their environment while avoiding the complications of conventionally powered actuation. Previous experiments evidence the possibilities of bi-layer materials (Reichert, Menges, and Correa 2015; Correa et al. 2015) and mechanical assemblies with discretely connected actuating members (Gupta et al. 2019). By leveraging changes in weather to power actuated building components these projects explore the use of smart biomaterials and responsive building systems. Though promising the implementation of these technologies requires deep engagement into material synthesis and fabrication. This paper presents the design and prototyping of a rain responsive façade system using chitosan hygroscopic films as actuators counterbalanced by programmed compliant mechanisms. Building on previous work into chitosan film assemblies this research focuses on the development of compliant mechanisms as a means of controlling movement without over-complicated rotating parts.
keywords Passive Actuation; Responsive Architecture; Bio-polymers; 4D Structures; Compliant Mechanism
series CAADRIA
email
last changed 2022/06/07 07:52
_id ijac202018304
id ijac202018304
authors Aagaard, Anders Kruse and Niels Martin Larsen
year 2020
title Developing a fabrication workflow for irregular sawlogs
source International Journal of Architectural Computing vol. 18 - no. 3, 270-283
summary In this article, we suggest using contemporary manufacturing technologies to integrate material properties with architectural design tools, revealing new possibilities for the use of wood in architecture. Through an investigative approach, material capacities and fabrication methods are explored and combined towards establishing new workflows and architectural expressions, where material, fabrication and result are closely interlinked. The experimentation revolves around discarded, crooked oak logs, doomed to be used as firewood due to their irregularity. This project treats their diverging shapes differently by offering unique processing to each log informed by its particularities. We suggest here a way to use the natural forms and properties of sawlogs to generate new structures and spatial conditions. In this article, we discuss the scope of this approach and provide an example of a workflow for handling the discrete shapes of natural sawlogs in a system that involve the collection of material, scanning/digitisation, handling of a stockpile, computer analysis, design and robotic manufacturing. The creation of this specific method comes from a combination of investigation of wood as a material, review of existing research in the field, studies of the production lines in the current wood industry and experimentation through our in-house laboratory facilities. As such, the workflow features several solutions for handling the complex and different shapes and data of natural wood logs in a highly digitised machining and fabrication environment. This up-cycling of discarded wood supply establishes a non-standard workflow that utilises non-standard material stock and leads to a critical articulation of today’s linear material economy. The project becomes part of an ambition to reach sustainable development goals and technological innovation in global and resource-intensive architecture and building industry.
keywords Natural wood, robotic fabrication, computation, fabrication, research by design
series journal
email
last changed 2020/11/02 13:34
_id caadria2020_443
id caadria2020_443
authors Abuzuraiq, Ahmed M. and Erhan, Halil
year 2020
title The Many Faces of Similarity - A Visual Analytics Approach for Design Space Simplification
doi https://doi.org/10.52842/conf.caadria.2020.1.485
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 485-494
summary Generative design methods may involve a complex design space with an overwhelming number of alternatives with their form and design performance data. Existing research addresses this complexity by introducing various techniques for simplification through clustering and dimensionality reduction. In this study, we further analyze the relevant literature on design space simplification and exploration to identify their potentials and gaps. We find that the potentials include: alleviating the choice overload problem, opening up new venues for interrelating design forms and data, creating visual overviews of the design space and introducing ways of creating form-driven queries. Building on that, we present the first prototype of a design analytics dashboard that combines coordinated and interactive visualizations of design forms and performance data along with the result of simplifying the design space through hierarchical clustering.
keywords Visual Analytics; Design Exploration; Dimensionality Reduction; Clustering; Similarity-based Exploration
series CAADRIA
email
last changed 2022/06/07 07:54
_id caadria2020_306
id caadria2020_306
authors Akizuki, Yuta, Bernhard, Mathias, Kakooee, Reza, Kladeftira, Marirena and Dillenburger, Benjamin
year 2020
title Generative Modelling with Design Constraints - Reinforcement Learning for Object Generation
doi https://doi.org/10.52842/conf.caadria.2020.1.445
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 445-454
summary Generative design has been explored to produce unprecedented geometries, nevertheless design constraints are, in most cases, second-graded in the computational process. In this paper, reinforcement learning is deployed in order to explore the potential of generative design satisfying design objectives. The aim is to overcome the three issues identified in the state of the art: topological inconsistency, less variations in style and unpredictability in design. The goal of this paper is to develop a machine learning framework, which works as an intellectual design interpreter capable of codifying an input geometry to form a new geometry. Experiments demonstrate that the proposed method can generate a family of tables of unique aesthetics, satisfying topological consistency under given constraints.
keywords generative design; computational design; data-driven design; reinforcement learning; machine learning
series CAADRIA
email
last changed 2022/06/07 07:54
_id acadia20_456
id acadia20_456
authors Alali, Jiries; Negar Kalantar, Dr.; Borhani, Alireza
year 2020
title Casting on a Dump
doi https://doi.org/10.52842/conf.acadia.2020.1.456
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. 456-463.
summary “Casting on a dump” focuses on finding accessible, low-tech fabrication methodologies that allow for the construction of parametrically designed nonstandard modular cast panels. Such an approach adopts a computational design framework using a single low-tech and low-energy fabrication device to create nonrepetitive volumetric panels cast in situ. The design input for these panels is derived from design preferences and environmental control data. The technique expands upon easy to fabricate and cast methods, targeting less-developed logistical settings worldwide, and thus responding to imminent needs related to climate, available resources, and the economy.
series ACADIA
type paper
email
last changed 2023/10/22 12:06
_id acadia20_228
id acadia20_228
authors Alawadhi, Mohammad; Yan, Wei
year 2020
title BIM Hyperreality
doi https://doi.org/10.52842/conf.acadia.2020.1.228
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. 228-236.
summary Deep learning is expected to offer new opportunities and a new paradigm for the field of architecture. One such opportunity is teaching neural networks to visually understand architectural elements from the built environment. However, the availability of large training datasets is one of the biggest limitations of neural networks. Also, the vast majority of training data for visual recognition tasks is annotated by humans. In order to resolve this bottleneck, we present a concept of a hybrid system—using both building information modeling (BIM) and hyperrealistic (photorealistic) rendering—to synthesize datasets for training a neural network for building object recognition in photos. For generating our training dataset, BIMrAI, we used an existing BIM model and a corresponding photorealistically rendered model of the same building. We created methods for using renderings to train a deep learning model, trained a generative adversarial network (GAN) model using these methods, and tested the output model on real-world photos. For the specific case study presented in this paper, our results show that a neural network trained with synthetic data (i.e., photorealistic renderings and BIM-based semantic labels) can be used to identify building objects from photos without using photos in the training data. Future work can enhance the presented methods using available BIM models and renderings for more generalized mapping and description of photographed built environments.
series ACADIA
type paper
email
last changed 2023/10/22 12:06
_id ecaade2020_193
id ecaade2020_193
authors Alymani, Abdulrahman, Jabi, Wassim and Corcoran, Padraig
year 2020
title Machine Learning Methods for Clustering Architectural Precedents - Classifying the relationship between building and ground
doi https://doi.org/10.52842/conf.ecaade.2020.1.643
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 643-652
summary Every time an object is built, it creates a relationship with the ground. Architects have a full responsibility to design the building by taking the ground into consideration. In the field of architecture, using data mining to identify any unusual patterns or emergent architectural trends is a nascent area that has yet to be fully explored. Clustering techniques are an essential tool in this process for organising large datasets. In this paper, we propose a novel proof-of-concept workflow that enables a machine learning computer system to cluster aspects of an architect's building design style with respect to how the buildings in question relate to the ground. The experimental workflow in this paper consists of two stages. In the first stage, we use a database system to collect, organise and store several significant architectural precedents. The second stage examines the most well-known unsupervised learning algorithm clustering techniques which are: K-Means, K-Modes and Gaussian Mixture Models. Our experiments demonstrated that the K-means clustering algorithm method achieves a level of accuracy that is higher than other clustering methods. This research points to the potential of AI in helping designers identify the typological and topological characteristics of architectural solutions and place them within the most relevant architectural canons
keywords Machine Learning; Building and Ground Relationship; Clustering Algorithms; K-means cluster Algorithms
series eCAADe
email
last changed 2022/06/07 07:54
_id ecaade2020_089
id ecaade2020_089
authors Ardic, Sabiha Irem, Kirdar, Gulce and Lima, Angela Barros
year 2020
title An Exploratory Urban Analysis via Big Data Approach: Eindhoven Case - Measuring popularity based on POIs, accessibility and perceptual quality parameters
doi https://doi.org/10.52842/conf.ecaade.2020.2.309
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 309-318
summary The cities are equipped with the data as a result of the individuals' sharings and application usage. This significant amount of data has the potential to reveal relations and support user-centric decision making. The focus of the research is to examine the relational factors of the neighborhoods' popularity by implementing a big data approach to contribute to the problem of urban areas' degradation. This paper presents an exploratory urban analysis for Eindhoven at the neighborhood level by considering variables of popularity: density and diversity of points of interest (POI), accessibility, and perceptual qualities. The multi-sourced data are composed of geotagged photos, the location and types of POIs, travel time data, and survey data. These different datasets are evaluated using BBN (Bayesian Belief Network) to understand the relationships between the parameters. The results showed a positive and relatively high connection between popularity - population change, accessibility by walk - density of POIs, and the feeling of safety - social cohesion. For further studies, this approach can contribute to the decision-making process in urban development, specifically in real estate and tourism development decisions to evaluate the land prices or the hot-spot touristic places.
keywords big data approach; neighborhood analysis; popularity; point of interest (POI); accessibility; perceptual quality
series eCAADe
email
last changed 2022/06/07 07:54
_id ecaade2020_267
id ecaade2020_267
authors Argin, Gorsev, Pak, Burak and Turkoglu, Handan
year 2020
title Through the Eyes of (Post-)Flâneurs - Altering rhythm and visual attention in public space in the era of smartphones
doi https://doi.org/10.52842/conf.ecaade.2020.1.239
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 239-248
summary In the last decade, rapid penetration of smartphones into our everyday life introduced a new kind of urban wanderer named as the 'post-flâneur'. By navigating through the virtual and physical space with a smartphone, and taking and sharing photographs, post-flâneur walks and experiences the city in novel ways. This paper aims to investigate the effects of smartphone use on the human-environment relationship by comparing post-flânerie with flânerie in public space with a focus on two key indicators: alteration of 1) the visual attention and 2) the walking rhythm. In this regard, ten postgraduate Architecture students are asked to perform flânerie and post-flânerie consecutively in the historical city center of Ghent with an eye-tracker and a smartphone. During the flânerie condition, they walked and experienced the city without using a smartphone. In the post-flânerie condition, they used a smartphone, took pictures and uploaded them to an application. By analyzing the eye-tracker (number and duration of fixations) and the smartphone (location data and geolocated photographs) data, altering rhythm and visual attention during the flânerie and post-flânerie were compared. Preliminary results indicate that flânerie and post-flânerie differ in terms of rhythm and visual attention. The average duration of fixations on the environment were significantly lower in the post-flânerie condition while the average walking rhythm was faster but impeded from time to time. In addition, post-flâneurs' visual attention was on the smartphone during a significant part of the stationary activities which point out to an altered state of public space appropriation. The findings are significant because they reveal the novel spatial appropriations and experiences of the (post)public space -particularly "the honeypot effect" which was more significant in the post-flânerie condition. These observations evoke questions on how designers can rethink public space as a hybrid construct integrating the virtual and the physical.
keywords post-flâneur; rhythm; visual attention; smartphone; eye-tracking
series eCAADe
email
last changed 2022/06/07 07:54
_id acadia20_66
id acadia20_66
authors Aviv, Dorit; Wang, Zherui; Meggers, Forrest; Ida, Aletheia
year 2020
title Surface Generation of Radiatively-Cooled Building Skin for Desert Climate
doi https://doi.org/10.52842/conf.acadia.2020.1.066
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. 66-73.
summary A radiatively cooled translucent building skin is developed for desert climates, constructed out of pockets of high heat-capacity liquids. The liquids are contained by a wavelength-selective membrane enclosure, which is transmissive in the infrared range of electromagnetic radiation but reflective in the shortwave range, and therefore prevents overheating from solar radiation and at the same time allows for passive cooling through exposure of its thermal mass to the desert sky. To assess the relationship between the form and performance of this envelope design, we develop a feedback loop between computational simulations, analytical models, and physical tests. We conduct a series of simulations and bench-scale experiments to determine the thermal behavior of the proposed skin and its cooling potential. Several materials are considered for their thermal storage capacity. Hydrogel cast into membrane enclosures is tested in real climate conditions. Slurry phase change materials (PCM) are also considered for their additional heat storage capacity. Challenges of membrane welding patterns and nonuniform expansion of the membrane due to the weight of the enclosed liquid are examined in both digital simulations and physical experiments. A workflow is proposed between the radiation analysis based on climate data, the formfinding simulations of the elastic membrane under the liquid weight, and the thermal storage capacity of the overall skin.
series ACADIA
type paper
email
last changed 2023/10/22 12:06
_id ecaade2020_115
id ecaade2020_115
authors Azambuja Varela, Pedro and Sousa, José Pedro
year 2020
title Liquid Stereotomy - the Tamandua Vault
doi https://doi.org/10.52842/conf.ecaade.2020.2.361
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 361-370
summary A renewed interest in stereotomy, narrowly entwined with digital technologies, has allowed for the recovery and proposal of new techniques and expressions in this building approach. A new classification scheme for stereotomy research allows for the framing of various aspects related to this discipline, including a newly developed fabrication system specially tailored for the wedge-shaped voussoirs. This fabrication system is based in a reusable mould which may assume an infinite number of geometries, avoiding the wasteful discarding of material found in subtractive strategies. The usage of a mould also allows for more sustainable materials to be employed, catering to current challenges. The strategies subject for demonstration in this project rely on various bottom-up approaches, which involve particle physic simulations such as a hanging model to compute an optimal stereo-funicular shape, or spring mechanisms to find optimal coplanar solutions. The proposed mechanisms work in a parametric algorithmically environment, able to handle dozens of uniquely different voussoirs at the same time. Together with the automatic translation to fabrication data, the proposed shape complexity would hardly be built with classic tools. The Tamandua Vault project has the purpose of exemplifying the possibilities of an updated stereotomy, while its design demonstrates current strategies that may be employed in the resolution of complex geometrical problems and bespoke fabrication of construction components for stereotomy.
keywords stereotomy; digital design; digital fabrication; compression; sustainability
series eCAADe
email
last changed 2022/06/07 07:54
_id ascaad2021_142
id ascaad2021_142
authors Bakir, Ramy; Sara Alsaadani, Sherif Abdelmohsen
year 2021
title Student Experiences of Online Design Education Post COVID-19: A Mixed Methods Study
source Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 142-155
summary This paper presents findings of a survey conducted to assess students’ experiences within the online instruction stage of their architectural education during the lockdown period caused by the COVID-19 pandemic between March and June 2020. The study was conducted in two departments of architecture in both Cairo branches of the Arab Academy for Science, Technology & Maritime Transport (AASTMT), Egypt, with special focus on courses involving a CAAD component. The objective of this exploratory study was to understand students’ learning experiences within the online period, and to investigate challenges facing architectural education. A mixed methods study was used, where a questionnaire-based survey was developed to gather qualitative and quantitative data based on the opinions of a sample of students from both departments. Findings focus on the qualitative component to describe students’ experiences, with quantitative data used for triangulation purposes. Results underline students’ positive learning experiences and challenges faced. Insights regarding digital tool preferences were also revealed. Findings are not only significant in understanding an important event that caused remote architectural education in Egypt but may also serve as an important stepping-stone towards the future of design education in light of newly-introduced disruptive online learning technologies made necessary in response to lockdowns worldwide
series ASCAAD
email
last changed 2021/08/09 13:13

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