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	caadria2021_137
id	caadria2021_137
authors	Fattahi Tabasi, Saba, Alaghmandan, Matin and Rafizadeh, Hamid Reza
year	2021
title	Simultaneous effect of form modifications and topology of the bracing system on the structural performance of timber high rise building - Introducing an innovative approach using parametric design
doi	https://doi.org/10.52842/conf.caadria.2021.1.421
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 421-430
summary	Topology optimization is a tool that minimizes the material consumption in a structure, while at the same time provides us design alternatives integrating architectural and structural engineering concepts. However, topology optimization is a structural engineering subject and its known methods are required professional knowledge of engineering to be used. In this article, the mutual effect of form modifications and topology of the bracing system in a 9-story timber exoskeleton high-rise building regarding the governing wind load and seismic load is examined. What differentiates this study from former ones and in fact its main purpose is introducing an innovative approach towards structural topology optimization using parametric design. In this innovative approach, the possibility of moving for each central node of bracing systems in defined ranges independently and the possibility of the existence or absence of each bracing member is provided. This parametric model will enable architects to optimize the topology of the structural elements which are part of their architectural design by themselves. The CMA-ES-algorithm-based optimization is done to minimize both total mass of structure per unit area and the horizontal displacement of the top floor. For modeling, optimizing cross-sections and structural analysis, Grasshopper and its plug-in called Karamba are utilized.
keywords	Topology optimization; Form finding; Parametric design; Timber tall buildings; Exoskeleton structures
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2021_448
id	caadria2021_448
authors	Koh, Seow Jin, Mok, Chiew Kai, Tan, Rachel and Chen, Edmund
year	2021
title	Optimising Harbour Typology in the Form Finding Process using Computational Design: A case study of a Greenfield port facility
doi	https://doi.org/10.52842/conf.caadria.2021.2.619
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 619-628
summary	The bulk of computational design strategies and research have been focused on issues related to architectural form and building systems. This is done by employing computational tools to optimise architectural forms, building performance and generally, improve quality of living. Many of these methodologies are based on the concept of form finding - varying geometric elements to generate and evaluate options to derive optimised solutions. However, beyond building designs, the concept of form finding can find its relevance in other design applications too such as engineering, landscape, and in our case, the design of ports, or more specifically harbour typology. In most building scenarios, the plot of land earmarked for development is typically selected beforehand, hence little exploration have been done to optimise land topology, when in fact the profile of land is the governing feature in most designs. For performance driven facilities like ports with high economic and political impact, there is value in optimizing topology to maximise throughput. Through the multi-disciplinary and collaborative effort of stakeholders and specialists, our project explored optimizing harbour topology via performance-based approach using computational design. The phenomenon, including impact and effects of trade-offs, are discussed and presented in this paper through a case study of a Greenfield port facility.
keywords	form finding; form optimisation; port masterplanning; harbour typology; computational design
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaade2021_222
id	ecaade2021_222
authors	Azambuja Varela, Pedro, Sousa, José Pedro and Silva Dias, Joana
year	2021
title	Drawing-to-Factory Process - Using freehand drawing to drive robotic assembly of brick walls
doi	https://doi.org/10.52842/conf.ecaade.2021.1.189
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 189-194
summary	The developments of digital technology applied to architecture in the recent decades has allowed for direct communication from the studio to fabrication. However, this process is typically dependent on complicated computational processes, enlarging the distance from the benefits of the traditional drawing approaches employed by architects. This research intends to explore possibilities of reenacting the drawing as a means of computational generative design which feeds automated systems of construction. By using a Cobot directed by an algorithm which reads a simple drawn curve on paper, an automated brick wall is built, as demonstrated in two exhibitions. This mixed approach allows for technology in architectural design and construction to be more accessible to a wider audience, while blurring the boundaries between concept and materialization.
keywords	robotic assembly; human-robot collaboration; non-standard structures; digital fabrication; computational design; interactive fabrication
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2021_110
id	caadria2021_110
authors	Bao, Ding Wen, Yan, Xin, Snooks, Roland and Xie, Yi Min
year	2021
title	SwarmBESO: Multi-agent and evolutionary computational design based on the principles of structural performance
doi	https://doi.org/10.52842/conf.caadria.2021.1.241
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 241-250
summary	This paper posits a design approach that integrates multi-agent generative algorithms and structural topology optimisation to design intricate, structurally efficient forms. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency. Both multi-agent algorithms and Bi-directional evolutionary structural optimisation (BESO) (Huang and Xie 2010), are emerging techniques that have significant potential in the design of form and structure.This research proposes a structural behaviour feedback loop through encoding BESO structural rules within the logic of multi-agent algorithms. This hybridisation of topology optimisation and swarm intelligence, described here as SwarmBESO, is demonstrated through two simple structural models. The paper concludes by speculating on the potential of this approach for the design of intricate, complex structures and their potential realisation through additive manufacturing.
keywords	Swarm Intelligence; Multi-agent; BESO (bi-directional evolutionary structural optimisation); Intricate Architectural Form; Efficient Structure
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ascaad2021_074
id	ascaad2021_074
authors	Belkaid, Alia; Abdelkader Ben Saci, Ines Hassoumi
year	2021
title	Human-Computer Interaction for Urban Rules Optimization
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. 603-613
summary	Faced with the complexity of manual and intuitive management of urban rules in architectural and urban design, this paper offers a collaborative and digital human-computer approach. It aims to have an Authorized Bounding Volume (ABV) which uses the best target values of urban rules. It is a distributed constraint optimization problem. The ABV Generative Model uses multi-agent systems. It offers an intelligent system of urban morphology able to transform the urban rules, on a given plot, into a morphological delimitation permitted by the planning regulations of a city. The overall functioning of this system is based on two approaches: construction and supervision. The first is conducted entirely by the machine and the second requires the intervention of the designer to collaborate with the machine. The morphological translation of urban rules is sometimes contradictory and may require additional external relevance to urban rules. Designer arbitration assists the artificial intelligence in accomplishing this task and solving the problem. The Human-Computer collaboration is achieved at the appropriate time and relies on the degree of constraint satisfaction with fitness function. The resolution of the distributed constraint optimization problem is not limited to an automatic generation of urban rules, but involves also the production of multiple optimal-ABV conditioned both by urban constraints as well as relevance, chosen by the designer.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ijac202119304
id	ijac202119304
authors	Emami, Niloufar
year	2021
title	Disregarded solution spaces: A proposed approach to draw connections between computationally generated solution spaces and actual built case studies
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 273–290
summary	Many computational studies generate an array of solutions for a design problem paired with their structural or daylighting performance. An enormous investment of effort and computational time is required to create these simulation-based datasets. However, the generated data is usually bound to the specific case studies they were created to explore. Can this data be useful for application to other design cases? This study employed a generative algorithm to fill a database with perforated shell structures covering a courtyard. A shell by Heinz Isler was chosen to be mapped onto the generated solution space based on its performance. The study found that this method is effective for predicting daylight performance, while structural performance modifications can be a source of inspiration for designing other structural forms.
keywords	Parametric design, generative design, performance-based design, structural performance, daylighting performance, perforated concrete shells
series	journal
email
last changed	2024/04/17 14:29

_id	caadria2021_113
id	caadria2021_113
authors	Fink, Theresa, Vuckovic, Milena and Petkova, Asya
year	2021
title	KPI-Driven Parametric Design of Urban Systems
doi	https://doi.org/10.52842/conf.caadria.2021.2.579
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 579-588
summary	We present a framework for data-driven algorithmic generation and post-evaluation of alternative urban developments. These urban developments are framed by a strategic placement of diverse urban typologies whose spatial configurations follow design recommendations outlined in existing building and zoning regulations. By using specific rule-based generative algorithms, different spatial arrangements of these urban typologies, forming building blocks, are derived and visualized, given the aforementioned spatial, legal, and functional regulations. Once the envisioned urban configurations are generated, these are evaluated based on a number of aspects pertaining to spatial, economic, and thermal (environmental) dimensions, which are understood as the key performance indicators (KPIs) selected for informed ranking and evaluation. To facilitate the analysis and data-driven ranking of derived numeric KPIs, we deployed a diverse set of analytical techniques (e.g., conditional selection, regression models) enriched with visual interactive mechanisms, otherwise known as the Visual Analytics (VA) approach. The proposed approach has been tested on a case study district in the city of Vienna, Austria, offering real-world design solutions and assessments.
keywords	Urban design evaluation; parametric modelling; urban simulation; environmental performance; visual analytics
series	CAADRIA
email
last changed	2022/06/07 07:50

_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	ascaad2021_112
id	ascaad2021_112
authors	Hassab, Ahmed; Sherif Abdelmohsen, Mohamed Abdallah
year	2021
title	Generative Design Methodology for Double Curved Surfaces using AI
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. 622-635
summary	Despite recent approaches to generate unique surfaces using generative design algorithms, there are still challenges including teaching machines how to learn and manipulate surfaces, thus generating novel and unique versions, and exploring possible alternatives in producing unique surfaces using artificial intelligence. This paper proposes a generative design approach using Al. We propose a generative design methodology for producing novel and unique surfaces by faking input surfaces using artificial intelligence networks. This workflow is applied to two different artificial networks: (1) CycleGAN, (2) Pix2Pix and Augmentor. This experimentation is introduced to apply two real surfaces generating two fake surfaces as a unique version through the networks. Upon running the CycleGANs, Pix2Pix, and a Grasshopper script, the experiment results demonstrated how the proposed generative design methodology using AI produced a unique surface version with a higher level of manipulation and result control.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	acadia21_112
id	acadia21_112
authors	Kahraman, Ridvan; Zechmeister, Christoph; Dong, Zhetao; Oguz, Ozgur S.; Drachenberg, Kurt; Menges, Achim; Rinderspacher, Katja
year	2021
title	Augmenting Design
doi	https://doi.org/10.52842/conf.acadia.2021.112
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 112-121.
summary	In recent years, generative machine learning methods such as variational autoencoders (VAEs) and generative adversarial networks (GANs) have opened up new avenues of exploration for architects and designers. The presented work explores how these methods can be expanded by incorporating multiple abstract criteria directly into the formulation of the algorithm that negotiates these complex criteria and proposes a fitting design. It draws inspiration from the works of several design theorists who have developed such goal-oriented approaches to design, and sets up multiple-objective VAE and GAN frameworks with this idea in mind. The research demonstrates that by incorporating multiple constraints using auxiliary discriminator networks, the developed algorithms are able to generate innovative solutions to two example problems: the design of 2D digits, and the design of 3D voxel chairs. By speculating and examining the role of the designer in data based generative computational design workflows, the research aims to provide an approach for solving design tasks in the age of big data.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ijac202119103
id	ijac202119103
authors	Liu, Jingyang; Yi-Chin Lee, and Daniel Cardoso Llach
year	2021
title	Computational design and fabrication of highly customizable architectural space frames: Making a flat-cut Weaire-Phelan structure
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 37–49
summary	This paper documents a computational approach to the design, fabrication, and assembly of customizable space structures built entirely out of flat-cut interlocking elements without the need of nodes, fasteners, cement, or glue. Following a Research by Design (RbD) methodology, we establish a framework comprising geometric and parametric modeling, structural analysis, and digital fabrication stages to examine the following research question: how might the modularity of a construction kit be combined with the plasticity of parametric descriptions to facilitate the design and fabrication of flat-cut space structures? We find that an adaptive joint design that resolves local deformations at the node and element levels can facilitate the construction of flat-cut space structures by making modular components responsive to local geometric, material, and mechanical demands. The research centers on the design and construction of an architecture-scale installation based on the Weaire-Phelan structure—an aperiodic space-filling geometric structure that approximates the geometry of foam—entirely out of flat-cut interlocking elements. Documenting the process in technical detail, as well as some limitations, the paper contributes to recent efforts to develop digital materials suitable for architectural applications. In addition, it contributes to extend the formal and architectural possibilities of flat-cut space structure design by facilitating “bottom-up” design explorations in concert with the structure’s tectonic resolution.
keywords	Computational design, generative fabrication, construction kit
series	journal
email
last changed	2021/06/03 23:29

_id	acadia21_512
id	acadia21_512
authors	Liu, Zidong
year	2021
title	Topological Networks Using a Sequential Method
doi	https://doi.org/10.52842/conf.acadia.2021.512
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 512-519.
summary	The paper shares preliminary results of a novel sequential method to expand existing topology-based generative design. The approach is applied to building an interactive community design system based on a mobile interface. In the process of building an interactive design system, one of the core problems is to harness the complex topological network formed by user demands. After decades of graph theory research in architecture, a consensus on self-organized complex networks has emerged. However, how to convert input complex topological data into spatial layouts in generative designs is still a difficult problem worth exploring. The paper proposes a way to simplify the problem: in some cases, the spatial network of buildings can be approximated as a collection of sequences based on circulation analysis. In the process of network serialization, the personalized user demands are transformed into activity patterns and further into serial spaces. This network operation gives architects more room to play with their work. Rather than just designing an algorithm that directly translates users’ demands into shape, architects can be more actively involved in organizing spatial networks by setting up a catalogue of activity patterns of the residents, thus contributing to a certain balance of top-down order and bottom-up richness in the project. The research on data serialization lays a solid foundation for the future exploration of Recurrent Neural Network (RNN) applied to generative design.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_251
id	caadria2021_251
authors	Ma, Chun Yu and van Ameijde, Jeroen
year	2021
title	Participatory Housing: Discrete Design and Construction Systems for High-Rise Housing in Hong Kong
doi	https://doi.org/10.52842/conf.caadria.2021.1.271
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 271-280
summary	There has been a recent increase in the exploration of mereological systems, speculating on how digital design, assembly and reconfiguration of digital materials (Gershenfeld, 2015) enables digitally informed physical worlds that change over time. Besides opportunities for construction and design automation, there is a potential to reimagine how multiple stakeholders can participate in the computational decision-making process, using the benefits of the mass customization of logistics (Retsin, 2019). This paper presents a research-by-design project that applies a digital and discrete material system to high-rise housing in Hong Kong. The project has developed an integrated approach to design, construction, and inhabitation, using a system of discrete parts which can be assembled in various apartment configurations, to incorporate varying occupants requirements and facilitate negotiations and changes over time.
keywords	Participatory Design; Generative Design; Adaptable Architecture; High-rise Housing
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2021_008
id	ecaade2021_008
authors	Naylor, John Osmond
year	2021
title	Protection by Generative Design - Designing for full-culm bamboo durability using sunlight-hours modelling in Ladybug
doi	https://doi.org/10.52842/conf.ecaade.2021.1.315
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 315-324
summary	High yield cultivated construction materials such as bamboo could reduce our overconsumption of concrete and sand. Full-culm bamboo has low natural durability which in construction makes it imperative that the design affords protection from rain and sunlight. This paper presents and advocates a generative design workflow for full-culm bamboo using widely applicable architectural design software. A series of trials were carried out to modify the geometry of a planar truss and gablet roof with input parameters tested to determine the optimal roof surface area which could provide full solar protection at three different sites. This algorithmic process tested both straight and curved poles. Depending on the site, when compared to a symmetrical uniform 45 degree overhang, less or greater roof surface area is required in order to provide full solar protection. The use of curved poles and an asymmetrical truss could maintain full protection yet reduce the roof surface area further.
keywords	Full-culm bamboo; Generative design approach; Ladybug; Architectural design; Digital materiality
series	eCAADe
email
last changed	2022/06/07 07:58

_id	sigradi2021_5
id	sigradi2021_5
authors	Ng, Provides, Fernandez, Alberto, Doria, David, Odaibat, Baha and Karastathi, Nikoletta
year	2021
title	AI In+form: Intelligence and Aggregation for Solar Designs in the Built Environment
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. 203–215
summary	Designers are increasingly challenged by a constant change of context and the interaction of layers of data from a huge variety of sources, from natural-artificial to human-machine. This research aims at mapping the interrelations of energy problems, bio- and artificial intelligence, and human-machine interaction to reflect and rethink the future of solar design. This paper first discusses its theoretical approach that stands at the convergence of light-harvesting systems, their aggregation and intelligence. Afterwhich, this paper explores their translation into iterative processes between designer and artificial intelligences, which is defined as rule/agent-based and machine learning systems; in particular, the relationship between Cellular Automata, Genetic Algorithm, and Generative Adversarial Networks (GANs) is discussed. Finally, it introduces a design project - @R.E.Ar_ - showing the proposed combinatorial pipeline and some preliminary results.
keywords	artificial intelligence, bio-inspired, solar design, Aggregation, human-machine interaction
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	ijac202119310
id	ijac202119310
authors	Schwartz, Yair; Raslan, Rokia; Korolija, Ivan; Mumovic, Dejan
year	2021
title	A decision support tool for building design: An integrated generative design, optimisation and life cycle performance approach
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 401–430
summary	Building performance evaluation is generally carried out through a non-automated process, where computational models are iteratively built and simulated, and their energy demand is calculated. This study presents a computational tool that automates the generation of optimal building designs in respect of their Life Cycle Carbon Footprint (LCCF) and Life Cycle Costs (LCC). This is achieved by an integration of three computational concepts: (a) A designated space-allocation generative-design application, (b) Using building geometry as a parameter in NSGA-II optimization and (c) Life Cycle performance (embodied carbon and operational carbon, through the use of thermal simulations for LCCF and LCC calculation). Examining the generation of a two-storey terrace house building, located in London, UK, the study shows that a set of building parameters combinations that resulted with a pareto front of near-optimal buildings, in terms of LCCF and LCC, could be identified by using the tool. The study shows that 80% of the optimal building’s LCCF are related to the building operational stage (o= 2), while 77% of the building’s LCC is related to the initial capital investment (o= 2). Analysis further suggests that space heating is the largest contributor to the building’s emissions, while it has a relatively low impact on costs. Examining the optimal building in terms compliance requirements (the building with the best operational performance), the study demonstrated how this building performs poorly in terms of Life Cycle performance. The paper further presents an analysis of various life-cycle aspects, for example, a year-by-year performance breakdown, and an investigation into operational and embodied carbon emissions.
keywords	Generative design, genetic algorithms, thermal simulation, life cycle, carbon, LCA, NSGA-II, building performance
series	journal
email
last changed	2024/04/17 14:29

_id	caadria2021_308
id	caadria2021_308
authors	Wang, Dasong and Snooks, Roland
year	2021
title	Intuitive Behavior - The Operation of Reinforcement Learning in Generative Design Processes
doi	https://doi.org/10.52842/conf.caadria.2021.1.101
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 101-110
summary	The paper posits a novel approach for augmenting existing generative design processes to embed a greater level of design intention and create more sophisticated generative methodologies. The research presented in the paper is part of a speculative research project, Artificial Agency, that explores the operation of Machine Learning (ML) in generative design and robotic fabrication processes. By framing the inherent limitation of contemporary generative design approaches, the paper speculates on a heuristic approach that hybridizes a Reinforcement Learning based top-down evolutionary approach with bottom-up emergent generative processes. This approach is developed through a design experiment that establishes a topological field with intuitive global awareness of pavilion-scale design criteria. Theoretical strategies and technical details are demonstrated in the design experiment in regard to the translation of ML definitions within a generative design context as well as the encoding of design intentions. Critical reflections are offered in regard to the impacts, characteristics, and challenges towards the further development of the approach. The paper attempts to broaden the range and impact of Artificial Intelligence applications in the architectural discipline.
keywords	Machine Learning; Generative Design Process; Multi-Agent Systems; Reinforcement Learning
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	cdrf2021_26
id	cdrf2021_26
authors	Yuqian Li and Weiguo Xu
year	2021
title	Using CycleGAN to Achieve the Sketch Recognition Process of Sketch-Based Modeling
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_3
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Architects usually design ideation and conception by hand-sketching. Sketching is a direct expression of the architect’s creativity. But 2D sketches are often vague, intentional and even ambiguous. In the research of sketch-based modeling, it is the most difficult part to make the computer to recognize the sketches. Because of the development of artificial intelligence, especially deep learning technology, Convolutional Neural Networks (CNNs) have shown obvious advantages in the field of extracting features and matching, and Generative Adversarial Neural Networks (GANs) have made great breakthroughs in the field of architectural generation which make the image-to-image translation become more and more popular. As the building images are gradually developed from the original sketches, in this research, we try to develop a system from the sketches to the images of buildings using CycleGAN algorithm. The experiment demonstrates that this method could achieve the mapping process from the sketches to images, and the results show that the sketches’ features could be recognised in the process.By the learning and training process of the sketches’ reconstruction, the features of the images are also mapped to the sketches, which strengthen the architectural relationship in the sketch, so that the original sketch can gradually approach the building images, and then it is possible to achieve the sketch-based modeling technology.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2021_216
id	caadria2021_216
authors	Aman, Jayedi, Tabassum, Nusrat, Hopfenblatt, James, Kim, Jong Bum and Haque, MD Obidul
year	2021
title	Optimizing container housing units for informal settlements - A parametric simulation & visualization workflow for architectural resilience
doi	https://doi.org/10.52842/conf.caadria.2021.1.051
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 51-60
summary	In rapidly growing cities like Dhaka, Bangladesh, sustainable housing in urban wetlands and slums present a challenge to more affordable and livable cities. The Container Housing System (CHS) is among the latest methods of affordable, modular housing quickly gaining acceptance among local stakeholders in Bangladesh. Even though container houses made of heat-conducting materials significantly impact overall energy consumption, there is little research on the overall environmental impact of CHS. Therefore, this study aims to investigate the performance of CHS in the climatic context of the Korail slum in Dhaka. The paper proposes a building envelope optimization and visualization workflow utilizing parametric cluster simulation modeling, multi-objective optimization (MOO) algorithms, and virtual reality (VR) as an immersive visualization technique. First, local housing and courtyard patterns were used to develop hypothetical housing clusters. Next, the CHS design variables were chosen to conduct the MOO analysis to measure Useful Daylight Illuminance and Energy Use Intensity. Finally, the prototype was integrated into a parametric VR environment to enable local stakeholders to walk through the clusters with the goal of generating feedback. This study shows that the proposed method can be implemented by architects and planners in the early design process to help improve the stakeholders understanding of CHS and its impact on the environment. It further elaborates on the implementation results, challenges, limitations of the parametric framework, and future work needed.
keywords	Multi-objective Optimization; Building Energy Use; CHS; Informal Settlements; Parametric VR
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2021_060
id	ecaade2021_060
authors	Antinozzi, Sara, Ronchi, Diego, Fiorillo, Fausta and Barba, Salvatore
year	2021
title	3Dino: Configuration for a Micro-Photogrammetric Survey - Applying Dino-Lite microscope for the digitalization of a cuneiform tablet
doi	https://doi.org/10.52842/conf.ecaade.2021.2.211
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 211-222
summary	Close-range photogrammetry, due to the possibilities offered by the technological evolution of acquisition tools and, above all, the relative original challenges posed to surveyors and the theory of measurements, deserve constant critical attention. The new opportunities to detect and represent reality are mostly focused on historical architecture, referring to consequent orders of magnitude and restitution scales. On the other hand, the formalization of relevant practices for very small objects is not frequently addressed. In recent tests carried out using two Dino-Lite handheld digital microscope models, polarized light digital microscopes generally used in medical and industrial fields, we proved the potential of using these imaging systems also for Cultural Heritage documentation, highlighting, however, some issues related to the depth of field and the consequent acquisition geometry. Therefore, this study aims to solve these problems, increasing the performance of microscopic photogrammetry by optimizing the acquisition procedures with the design of custom accessories for micro-photogrammetry (e.g. a calibrated plate). These developments will be carried out as part of a technology transfer agreement with the Dino-Lite company pointed to codify a protocol for high accuracy photogrammetric documentation of small artefacts.
keywords	Digital Heritage; Small artefacts; Detailed 3D shape; Handheld microscope
series	eCAADe
email
last changed	2022/06/07 07:54

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