Cumincad : CUMINCAD Papers : Search Results

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_414
id	acadia18_414
authors	Marcus, Adam; Ikeda, Margaret; Jones, Evan; Metcalf, Taylor; Oliver, John; Hammerstrom, Kamille; Gossard, Daniel
year	2018
title	Buoyant Ecologies Float Lab. Optimized upside-down benthos for sea level rise adaptation
doi	https://doi.org/10.52842/conf.acadia.2018.414
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. 414-423
summary	This paper describes the Buoyant Ecologies project, an ongoing research collaboration between architects, marine ecologists, and manufacturers focused on developing integrated architectural, ecological, and material responses to climate change and sea level rise. The research employs techniques of design computation and robotic fabrication to develop an approach to coastal resilience that is rooted in material performance as it relates to marine habitats. The project explores the design and production of highly performative fiber-reinforced polymer substrates that interact productively with the underwater ecosystem to promote multi-scalar habitats for invertebrate animals, encouraging ecological diversity and serving as wave-attenuating structures that mitigate coastal erosion. In this regard, the research leverages computational workflows of modeling, simulation, and fabrication to interface between human and nonhuman species in a way that benefits the broader ecosystem. The paper discusses an iterative prototyping process that has led to the design and construction of the Float Lab, a larger-scale prototype of a floating breakwater.
keywords	full paper, materials & adaptive systems, performance + simulation, digital fabrication, collaboration
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	ecaade2020_445
id	ecaade2020_445
authors	Spiegelhalter, Thomas, Andia, Alfredo, Levente, Juhasz and Namuduri, Srikanth
year	2020
title	Part 1: The Integrated Decision Support System - Generative and synthetic biological design imaginations for the Miami bay area
doi	https://doi.org/10.52842/conf.ecaade.2020.2.011
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. 11-20
summary	In less than 150 years our carbon society transformed the planet. Today more than 50% of ecologies in the world are determined by unsustainable industrialization processes. The latest IPCC reports show that we are quickly arriving at points of no return in the warming of our planet. We cannot afford to continue in the same direction, we need a new imagination. As part of an E.U.-US funded $1.9 million research project we have been working on multiple projects for the future of the Miami islands since 2018:1. We developed a generative GIS-BIM based Python API for mapping and optimization of carbon-neutral design workflows. It includes genetic design combinatorics with intuitive graphical Dynamo-Python-Grasshopper programming with experimental design results. 2. We worked on a series of design research for the Miami Bay that envisions islands, living shorelines, programmable soils, and infrastructures that grow by themselves using synthetic biology.
keywords	Automated Workflows, Synthetic Biology, Artificial Intelligence, Architecture, Sea-level Rise
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2018_281
id	caadria2018_281
authors	Lee, Jisun and Lee, Hyunsoo
year	2018
title	Pneumatic Skin with Adaptive Openings - Adaptive Façade with Opening Control Integrated with CFD for Natural Ventilation
doi	https://doi.org/10.52842/conf.caadria.2018.2.143
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. 143-151
summary	The unique integration of geometries and techniques allows the natural organisms to adapt to different environments in creative ways. In this study, a bio-inspired pneumatic facade is presented as a strategy to improve the efficiency of natural ventilation performance by controlling the adaptive openings. The Computational Fluid Dynamics simulation has been conducted to visualize airflows in order to explore how the changing configurations of openings enhance natural ventilation efficiency. The airflows are investigated with changes in wind speed and direction to find out the opening configurations which provide indoor airflows at the comfort level of velocities. As results, it was shown that indoor air velocities were modulated by controlling opening sizes, geometries and positions of the openings, and it was a beneficial strategy to apply the optimized opening configurations implementing automatic control. Also, the air distribution can be enhanced by changing opening configurations in changing conditions of wind speed and direction. An effective methodology for an intelligent façade opening control to encourage natural ventilation is presented in this study to deliver users comfort and efficiency.
keywords	Natural ventilation; airflow simulation; pneumatic facade; Computational Fluid Dynamics
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia18_434
id	acadia18_434
authors	Meibodi, Mania Aghaei ; Jipa, Andrei; Giesecke, Rena; Shammas, Demetris; Bernhard, Mathias; Leschok, Matthias; Graser, Konrad; Dillenburger, Benjamin
year	2018
title	Smart Slab. Computational design and digital fabrication of a lightweight concrete slab
doi	https://doi.org/10.52842/conf.acadia.2018.434
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. 434-443
summary	This paper presents a computational design approach and novel digital fabrication method for an optimized lightweight concrete slab using a 3D-printed formwork. Smart Slab is the first concrete slab fabricated with a 3D-printed formwork. It is a lightweight concrete slab, displaying three-dimensional geometric differentiation on multiple scales. The optimization of slab systems can have a large impact on buildings: more compact slabs allow for more usable space within the same building volume, refined structural concepts allow for material reduction, and integrated prefabrication can reduce complexity on the construction site. Among the main challenges is that optimized slab geometries are difficult to fabricate in a conventional way because non-standard formworks are very costly. Novel digital fabrication methods such as additive manufacturing of concrete can provide a solution, but until now the material properties and the surface quality only allow for limited applications. The fabrication approach presented here therefore combines the geometric freedom of 3D binderjet printing of formworks with the structural performance of fiber reinforced concrete. Using 3D printing to fabricate sand formwork for concrete, enables the prefabrication of custom concrete slab elements with complex geometric features with great precision. In addition, space for building systems such as sprinklers and Lighting could be integrated in a compact way. The design of the slab is based on a holistic computational model which allows fast design optimization and adaptation, the integration of the planning of the building systems, and the coordination of the multiple fabrication processes involved with an export of all fabrication data. This paper describes the context, design drivers, and digital design process behind the Smart Slab, and then discusses the digital fabrication system used to produce it, focusing on the 3D-printed formwork. It shows that 3D printing is already an attractive alternative for custom formwork solutions, especially when strategically combined with other CNC fabrication methods. Note that smart slab is under construction and images of finished elements can be integrated within couple of weeks.
keywords	full paper, digital fabrication, computation, generative design, hybrid practices
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	caadria2018_245
id	caadria2018_245
authors	Chowdhury, Shuva and Schnabel, Marc Aurel
year	2018
title	An Algorithmic Methodology to Predict Urban Form - An Instrument for Urban Design
doi	https://doi.org/10.52842/conf.caadria.2018.2.401
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. 401-410
summary	We question the recent practices of conventional and participatory urban design approaches and offer a middle approach by exploring computational design tools in the design system. On the one hand, the top-down urban planning approaches investigate urban form as a holistic matter which only can be calibrated by urban professionals. These approaches are not able to offer enough information to the end users to predict the urban form. On the other hand, the bottom-up urban design approaches cannot visualise predicted urban scenarios, and most often the design decisions stay as general assumptions. We developed and tested a parametric design platform combines both approaches where all the stakeholders can participate and visualise multiple urban scenarios in real-time feedback. Parametric design along with CIM modelling system has influenced urban designers for a new endeavour in urban design. This paper presents a methodology to generate and visualise urban form. We present a novel decision-making platform that combines city level and local neighbourhood data to aid participatory urban design decisions. The platform allows for stakeholder collaboration and engagement in complex urban design processes.
keywords	knowledge-based system; algorithmic methodology ; design decision tool; urban form;
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia23_v3_169
id	acadia23_v3_169
authors	Kanngieser, AM
year	2023
title	Ethics and Ecocidal Listening: Oceanic Refractions as an Artistic Case Study
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	In 2018 I was invited to visit the archipelago of Kiribati, located in the Pacific Ocean around 1000 miles from Hawaii. A big ocean state, Kiribati holds a land mass of around 315 sq. miles and an oceanic economic zone of 1,328,890 sq. mi. Tarawa, the most inhabited of the islands peaks at around 3 m above sea level. I went to Kiribati in part to meet with Dr Teweiariki Teaero, a renowned scholar, poet and educator who had directed the Oceania Center at the University of the South Pacific in Fiji for many years before returning to his homeland where at the time he had been planning on running for government. Teweiariki spoke with me at length about the status of Kiribati as one of the already most critically affected frontline nations. I asked him what was a lesson for non-Pacific Islanders to learn about understanding everyday life there. He said to me “Two ears, one mouth, don’t talk too much. Learn to listen more. Not only to hear, but to be able to develop another thing and that is to be able to interpret. These things are different, they occur at different levels. The hearing and the interpretation of the sound…it’s very much part of our world” (Teaero 2018).
series	ACADIA
type	keynote
email
last changed	2024/04/17 14:00

_id	ecaade2023_10
id	ecaade2023_10
authors	Sepúlveda, Abel, Eslamirad, Nasim and De Luca, Francesco
year	2023
title	Machine Learning Approach versus Prediction Formulas to Design Healthy Dwellings in a Cold Climate
doi	https://doi.org/10.52842/conf.ecaade.2023.2.359
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 359–368
summary	This paper presents a study about the prediction accuracy of daylight provision and overheating levels in dwellings when considering different methods (machine learning vs prediction formulas), training, and validation data sets. An existing high-rise building located in Tallinn, Estonia was considered to compare the best ML predictive method with novel prediction formulas. The quantification of daylight provision was conducted according to the European daylight standard EN 17037:2018 (based on minimum Daylight Factor (minDF)) and overheating level in terms of the degree-hour (DH) metric included in local regulations. The features included in the dataset are the minDF and DH values related to different combinations of design parameters: window-to-floor ratio, level of obstruction, g-value, and visible transmittance of the glazing system. Different training and validation data sets were obtained from a main data set of 5120 minDF values and 40960 DH values obtained through simulation with Radiance and EnergyPlus, respectively. For each combination of training and validation dataset, the accuracy of the ML model was quantified and compared with the accuracy of the prediction formulas. According to our results, the ML model could provide more accurate minDF/DH predictions than by using the prediction formulas for the same design parameters. However, the amount of room combinations needed to train the machine-learning model is larger than for the calibration of the prediction formulas. The paper discuss in detail the method to use in practice, depending on time and accuracy concerns.
keywords	Optimization, Daylight, Thermal Comfort, Overheating, Machine Learning, Predictive Model, Dwellings, Cold Climates
series	eCAADe
email
last changed	2023/12/10 10:49

_id	caadria2020_434
id	caadria2020_434
authors	Lange, Christian, Ratoi, Lidia and Co, Dominic Lim
year	2020
title	Reformative Coral Habitats - Rethinking Artificial Reef structures through a robotic 3D clay printing method.
doi	https://doi.org/10.52842/conf.caadria.2020.2.463
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 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 463-472
summary	In 2018 after Typhoon Mangkhut hit Hong Kong, the city lost around 80% of its existing corals. As a consequence, a team consisting of marine biologists and architects have developed a series of performative structures that will be deployed in Hong Kong waters intending to aid new coral growth over the coming years. This paper describes the present research that focuses on the design and fabrication of artificial reef structures utilizing a robotic 3d clay printing method addressing the specificities of Hong Kong marine ecologies. The paper describes further the algorithmic design methodology, the optimization processes in the generation of the printing path, and the methodology for the fabrication processes during the production cycle to achieve even quality and prevent cracking during the drying process.
keywords	Digital Fabrication; 3D clay printing; Artificial Coral Reefs; Computational Design
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia20_164p
id	acadia20_164p
authors	Lange, Christian; Ratoi, Lidia; Co Lim, Dominic; Hu, Jason; Baker, David M.; Yu, Vriko; Thompson, Phil
year	2020
title	Reformative Coral Habitats
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. 164-169
summary	Coral reefs are some of the most diverse ecologies in the marine world. They are the habitat to tens of thousands of different marine species. However, these wildlife environments are endangered across the globe. Recent research estimates that around 75 percent of the remaining coral reefs are currently under threat. In 2018 after a devastating storm, Hong Kong lost around 80% of its existing corals. Consequently, a team consisting of marine biologists and architects at The University of Hong Kong has developed a series of performative structures that have been deployed in the city's waters in July 2020, intending to aid new coral growth over the coming years. The project was commissioned by the Agriculture, Fisheries, and Conservation Department (AFCD) and is part of an ongoing active management measure for coral restoration in Hoi Ha Wan Marine Park in Hong Kong. The following objectives were defined as part of the design and fabrication research of the project. To develop a design strategy that builds on the concept of biomimicry to allow for complex spaces to occur that would provide attributes against the detachment of the inserted coral fragment, hence could enhance a diverse marine life specific to the context of the cities water conditions. To generate an efficient printing path that accommodates the specific morphological design criteria and ensures structural integrity and the functional aspects of the design. To develop an efficient fabrication process with a DIW 3D printing methodology that considers warping, shrinkage, and cracking in the clay material. The research team developed a method that combined an algorithmic design approach for the design of different geometries with a digital additive manufacturing process utilizing robotic 3D clay printing. The overall fabrication strategy for the complex and large pieces sought to ensure structural longevity, optimize production time, and tackle the involved double-sided printing method. Overall, 128 tiles were printed, covering roughly 40sqm of the seabed.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	ecaade2018_155
id	ecaade2018_155
authors	Zupancic, Tadeja, Herneoja, Aulikki, Schoonjans, Yves and Achten, Henri
year	2018
title	A Research Framework of Digital Leadership
doi	https://doi.org/10.52842/conf.ecaade.2018.1.641
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. 641-646
summary	In leading architectural offices where digital technologies have become de facto part and parcel of the architectural design process, it has become pointless to talk about "architectural design" and "digital technology" as separate phenomena. In fact, those offices showcase advances in their designs through combined developments in process, tools, teams, materials, and research. Far from being a passive addition to conventional processes, digital technologies transform the whole spectrum of architectural endeavour. Architects and offices in the front of these development showcase a particular competence set that is distinct from others, which we propose to call "digital leadership." We define "digital leadership" as the "integration of distributed knowledge from social sciences/humanities and digital technologies through the integrative artistic power of Architectural Design applied to the built environment as a real-world research and design laboratory." Although there have been many digital pioneers since the early 1960'ies, we can now see digital leadership as a more mainstream movement. However, there is no unified framework or theoretical understanding of digital leadership. In this paper we report on work carried out on four universities which has the aim to build such a framework.
keywords	Digital leadership; Architectural design process; Collaborative environments; Digital ecologies; Human resources
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_301
id	ecaade2018_301
authors	Cocho-Bermejo, Ana, Birgonul, Zeynep and Navarro-Mateu, Diego
year	2018
title	Adaptive & Morphogenetic City Research Laboratory
doi	https://doi.org/10.52842/conf.ecaade.2018.2.659
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. 659-668
summary	"Smart City" business model is guiding the development of future metropolises. Software industry sales to town halls for city management services efficiency improvement are, these days, a very pro?table business. Being the model decided by the industry, it can develop into a dangerous situation in which the basis of the new city design methodologies is decided by agents outside academia expertise. Drawing on complex science, social physics, urban economics, transportation theory, regional science and urban geography, the Lab is dedicated to the systematic analysis of, and theoretical speculation on, the recently coined "Science of Cities" discipline. On the research agenda there are questions arising from the synthesis of architecture, urban design, computer science and sociology. Collaboration with citizens through inclusion and empowerment, and, relationships "City-Data-Planner-Citizen" and "Citizen-Design-Science", configure Lab's methodology provoking a dynamic responsive process of design that is yet missing on the path towards the real responsive city.
keywords	Smart City; Morphogenetic Urban Design; Internet of Things; Building Information Modelling; Evolutionary Algorithms; Machine Learning & Artificial Intelligence
series	eCAADe
email
last changed	2022/06/07 07:56

_id	cdrf2023_526
id	cdrf2023_526
authors	Eric Peterson, Bhavleen Kaur
year	2023
title	Printing Compound-Curved Sandwich Structures with Robotic Multi-Bias Additive Manufacturing
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_44
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	A research team at Florida International University Robotics and Digital Fabrication Lab has developed a novel method for 3d-printing curved open grid core sandwich structures using a thermoplastic extruder mounted on a robotic arm. This print-on-print additive manufacturing (AM) method relies on the 3d modeling software Rhinoceros and its parametric software plugin Grasshopper with Kuka-Parametric Robotic Control (Kuka-PRC) to convert NURBS surfaces into multi-bias additive manufacturing (MBAM) toolpaths. While several high-profile projects including the University of Stuttgart ICD/ITKE Research Pavilions 2014–15 and 2016–17, ETH-Digital Building Technologies project Levis Ergon Chair 2018, and 3D printed chair using Robotic Hybrid Manufacturing at Institute of Advanced Architecture of Catalonia (IAAC) 2019, have previously demonstrated the feasibility of 3d printing with either MBAM or sandwich structures, this method for printing Compound-Curved Sandwich Structures with Robotic MBAM combines these methods offering the possibility to significantly reduce the weight of spanning or cantilevered surfaces by incorporating the structural logic of open grid-core sandwiches with MBAM toolpath printing. Often built with fiber reinforced plastics (FRP), sandwich structures are a common solution for thin wall construction of compound curved surfaces that require a high strength-to-weight ratio with applications including aerospace, wind energy, marine, automotive, transportation infrastructure, architecture, furniture, and sports equipment manufacturing. Typical practices for producing sandwich structures are labor intensive, involving a multi-stage process including (1) the design and fabrication of a mould, (2) the application of a surface substrate such as FRP, (3) the manual application of a light-weight grid-core material, and (4) application of a second surface substrate to complete the sandwich. There are several shortcomings to this moulded manufacturing method that affect both the formal outcome and the manufacturing process: moulds are often costly and labor intensive to build, formal geometric freedom is limited by the minimum draft angles required for successful removal from the mould, and customization and refinement of product lines can be limited by the need for moulds. While the most common material for this construction method is FRP, our proof-of-concept experiments relied on low-cost thermoplastic using a specially configured pellet extruder. While the method proved feasible for small representative examples there remain significant challenges to the successful deployment of this manufacturing method at larger scales that can only be addressed with additional research. The digital workflow includes the following steps: (1) Create a 3D digital model of the base surface in Rhino, (2) Generate toolpaths for laminar printing in Grasshopper by converting surfaces into lists of oriented points, (3) Generate the structural grid-core using the same process, (4) Orient the robot to align in the direction of the substructure geometric planes, (5) Print the grid core using MBAM toolpaths, (6) Repeat step 1 and 2 for printing the outer surface with appropriate adjustments to the extruder orientation. During the design and printing process, we encountered several challenges including selecting geometry suitable for testing, extruder orientation, calibration of the hot end and extrusion/movement speeds, and deviation between the computer model and the physical object on the build platen. Physical models varied from their digital counterparts by several millimeters due to material deformation in the extrusion and cooling process. Real-time deviation verification studies will likely improve the workflow in future studies.
series	cdrf
email
last changed	2024/05/29 14:04

_id	sigradi2018_1519
id	sigradi2018_1519
authors	Lemus Villagómez, Renato Arturo; Lobato Valdespino, Juan Carlos
year	2018
title	Temporary shelter design from a digital-analog design process: Habitable emergent solution for operational resilience
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 1264-1271
summary	This work proposes an emerging habitable solution for families with children receiving attention in a public hospital, which do not include a shelter service for them. In this case of study, an informal settlement has grown for years in the surroundings of the hospital. The phenomenon is identified and analyzed, the variables activating the resilience systems and the self-organization capacities of those affected, to generate alternative solutions within an evolved vision that improve the emotional and habitability conditions of the families living in the settlement. The methodological process is composed of five stages: Diagnosis, analysis-synthesis, design determinants and design alternatives.
keywords	Shelter; Emergence; Resilient; Design, Fab-Lab
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ijac202018202
id	ijac202018202
authors	Pasquero, Claudia and Marco Poletto
year	2020
title	Bio-digital aesthetics as value system of post-Anthropocene architecture
source	International Journal of Architectural Computing vol. 18 - no. 2, 120-140
summary	It is timely within the Anthropocene era, more than ever before, to search for a non-anthropocentric mode of reasoning, and consequently designing. The PhotoSynthetica Consortium, established in 2018 and including London-based ecoLogicStudio, the Urban Morphogenesis Lab (Bartlett School of Architecture, University College London) and the Synthetic Landscape Lab (University of Innsbruck, Austria), has therefore been pursuing architecture as a research-based practice, exploring the interdependence of digital and biological intelligence in design by working directly with non-human living organisms. The research focuses on the diagrammatic capacity of these organisms in the process of growing and becoming part of complex bio-digital architectures. A key remit is training architects’ sensibility at recognising patterns of reasoning across disciplines, materialities and technological regimes, thus expanding the practice’s repertoire of aesthetic qualities. Recent developments in evolutionary psychology demonstrate that the human sense of beauty and pleasure is part of a co-evolutionary system of mind and surrounding environment. In these terms, human senses of beauty and pleasure have evolved as selection mechanisms. Cultivating and enhancing them compensate and integrate the functions of logical thinking to gain a systemic view on the planet Earth and the dramatic changes it is currently undergoing. This article seeks to illustrate, through a series of recent research projects, how a renewed appreciation of beauty in architecture has evolved into an operational tool to design and measure its actual ecological intelligence.
keywords	Bio-digital, bio-computation, bio-city, effectiveness, empathy, impact, sensing
series	journal
email
last changed	2020/11/02 13:34

_id	acadia18_30
id	acadia18_30
authors	Przybylski, Maya
year	2018
title	Critical Computational Literacy: A Call for the Development of Socially Aware, Ethically Minded Research within ACADIA
doi	https://doi.org/10.52842/conf.acadia.2018.030
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. 30-35
summary	As computational design matures and strives to move out of the studio/lab and into the real world, multiple dimensions of literacy, valuing the social, the political, and the ethical as well as the technical and the creative, must be acknowledged and supported. This paper evaluates the presence of research advancing socially aware, ethically minded issues currently found in ACADIA’s body of research and offers a strategy for shaping future work in this area. First, data from the CumInCAD index is used to provide a quantitative understanding of the degree to which these issues are represented in ACADIA’s history, with particular focus on the last decade. The paper goes on to articulate key offerings from the field of Software Studies to motivate and identify possible entry points for computational designers to further engage the social and ethical agencies tied to their work. Within this context, the paper argues that the set of lenses used to understand a project's digital components expands to include social, cultural, political, and ethical effects in addition to the technical realities of implementation. The analytical methods presented are intended to support a preliminary survey of ACADIA's literature and serve as a first step in identifying avenues for pursuing socially aware, ethically minded computational design research.
keywords	work in progress, design theory & history, history/theory of computation, hybrid practices, ethics
series	ACADIA
type	paper
email
last changed	2022/06/07 08:00

_id	ecaade2018_232
id	ecaade2018_232
authors	Al Bondakji, Louna, Chatzi, Anna-Maria, Heidari Tabar, Minoo, Wesseler, Lisa-Marie and Werner, Liss C.
year	2018
title	VR-visualization of High-dimensional Urban Data
doi	https://doi.org/10.52842/conf.ecaade.2018.2.773
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. 773-780
summary	The project aims to investigate the possibility of VR in a combination of visualizing high-dimensional urban data. Our study proposes a data-based tool for urban planners, architects, and researchers to 3D visualize and experience an urban quarter. Users have a possibility to choose a specific part of a city according to urban data input like "buildings, streets, and landscapes". This data-based tool is based on an algorithm to translate data from Shapefiles (.sh) in a form of a virtual cube model. The tool can be scaled and hence applied globally. The goal of the study is to improve understanding of the connection and analysis of high-dimensional urban data beyond a two-dimensional static graph or three-dimensional image. Professionals may find an optimized condition between urban data through abstract simulation. By implementing this tool in the early design process, researchers have an opportunity to develop a new vision for extending and optimizing urban materials.
keywords	Abstract Urban Data Visualization; Virtual Reality; Geographical Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_405
id	ecaade2018_405
authors	Belém, Catarina and Leit?o, António
year	2018
title	From Design to Optimized Design - An algorithmic-based approach
doi	https://doi.org/10.52842/conf.ecaade.2018.2.549
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. 549-558
summary	Stringent requirements of efficiency and sustainability lead to the demand for buildings that have good performance regarding different criteria, such as cost, lighting, thermal, and structural, among others. Optimization can be used to ensure that such requirements are met. In order to optimize a design, it is necessary to generate different variations of the design, and to evaluate each variation regarding the intended criteria. Currently available design and evaluation tools often demand manual and time-consuming interventions, thus limiting design variations, and causing architects to completely avoid optimization or to postpone it to later stages of the design, when its benefits are diminished. To address these limitations, we propose Algorithmic Optimization, an algorithmic-based approach that combines an algorithmic description of building designs with automated simulation processes and with optimization processes. We test our approach on a daylighting optimization case study and we benchmark different optimization methods. Our results show that the proposed workflow allows to exclude manual interventions from the optimization process, thus enabling its automation. Moreover, the proposed workflow is able to support the architect in the choice of the optimization method, as it enables him to easily switch between different optimization methods.
keywords	Algorithmic Design; Algorithmic Analysis; Algorithmic Optimization; Lighting optimization; Black-Box optimization
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2018_181
id	caadria2018_181
authors	Chun, Junho, Lee, Juhun and Park, Daekwon
year	2018
title	TOPO-JOINT - Topology Optimization Framework for 3D-Printed Building Joints
doi	https://doi.org/10.52842/conf.caadria.2018.1.205
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. 205-214
summary	Joints and connectors are often the most complex element in building assemblies and systems. To ensure the performance of the assemblies and systems, it is critical to optimize the geometry and configurations of the joints based on key functional requirements (e.g., stiffness and thermal exchange). The proposed research focuses on developing a multi-objective topology optimization framework that can be utilized to design highly customized joints and connections for building applications. The optimized joints that often resemble tree structures or bones are fabricated using additive manufacturing techniques. This framework is built upon the integration of high-fidelity topology optimization algorithms, additive manufacturing, computer simulations and parametric design. Case studies and numerical applications are presented to demonstrate the validity and effectiveness of the proposed optimization and additive manufacturing framework. Optimal joint designs from a variety of architectural and structural design considerations, such as stiffness, thermal exchange, and vibration are discussed to provide an insightful interpretation of these interrelationships and their impact on joint performance.
keywords	Topology optimization; parametric design; 3d printing
series	CAADRIA
email
last changed	2022/06/07 07:56

_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
doi	https://doi.org/10.52842/conf.caadria.2018.1.287
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
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	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

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