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	ecaade2024_101
id	ecaade2024_101
authors	Yu, Jiaqi; Guo, Kening; Bai, Zishen; Wen, Zitong
year	2024
title	Application of Artificial Neural Network for Predicting U-Values of Building Envelopes in Temperate Zones
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 585–592
doi	https://doi.org/10.52842/conf.ecaade.2024.1.585
summary	Due to the global energy deficit, building energy consumption has become a significant issue in recent years. Many researchers have focused on building energy consumption simulations to manage energy consumption accurately and provide a comfortable indoor environment for occupants. In building energy simulations, accurate input of building parameters is essential. As important thermal parameters, the thermal transmittance (U-value) of building envelopes can affect building operational energy consumption. In most building energy simulation studies, the U-value was set to the theoretical U-value which was a fixed value. However, the U-value constantly varies due to several environmental impacts, especially fluctuating air temperature and relative humidity (T/RH). Thus, the U-values are dynamic in actual situations, and inputting dynamic U-values into building energy simulations can reduce the gap between the simulation and the actual situation. In this study, the dynamic U-values of conventional cavity envelopes in temperate zones were predicted by an artificial neural network (ANN) model. Firstly, the in-situ dynamic U-value measurement was conducted in Sheffield, the UK, from summer to winter in 2022. The heat flow meter method was applied, and the tested envelope was a conventional cavity envelope widely used in the UK. The indoor and outdoor T/RH were measured and recorded as well. Then, the measured data were applied to train the optimal ANN model. The input parameters included the indoor and outdoor T/RH, and the output parameter was the dynamic U-value. Finally, the prediction results obtained by the optimal ANN model were closely correlated with the measured dynamic U-value. This quantitative study of dynamic U-values examined the relationship between dynamic U-values of conventional cavity envelopes and environmental factors, which can provide reliable information for improving the inputting patterns of building parameters and the accuracy of the building energy simulation.
keywords	Artificial Neural Network Model, In-situ U-value Measurement, Dynamic U-value Prediction, Conventional Cavity Envelopes
series	eCAADe
email
last changed	2024/11/17 22:05

_id	sigradi2022_271
id	sigradi2022_271
authors	Dong, Siyu; Yan, Jingjing; Yang, Shunyi; Cui, Xiangguo
year	2022
title	Light Transmittance Ceramic Design-Computation with Robotics
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 515–526
summary	Building envelope design incorporates a range of light-related analyses, often providing an essential feedback loop for shaping an envelope’s performance, geometry, or components. This is true for solar radiation studies of envelopes, calculated irrespective of building material or assembly. Extending our light-related analysis to include diffuse lighting effects on a building interior presents an opportunity to explore the translucency, porosity, and forms of materials. Glazed architectural ceramic components fabricated using adaptive robotic manufacturing provide an opportunity to exploit material dynamics within the design and alleviate fabrication waste from molds, ultimately accelerating the production manufacturing system. In addition to analyzing the solar radiation on the building facade design, lighting effects can be engaged in profoundly different ways depending on the degree of design-production agency. The production process can be extended beyond automatic routines using robotic fabrication with levels of autonomous involvement that allow for alternative form expressions of the dynamic clay material. In addition to negotiating several design criteria, the design research will develop an aesthetic character originating from customized clay materials and robotic manufacturing processes for lighting transmittance architectural ceramics.
keywords	Digital Fabrication, Light Transmittance, Data-Driven Fabrication, Computer Vision
series	SIGraDi
email
last changed	2023/05/16 16:56

_id	ascaad2022_032
id	ascaad2022_032
authors	Ibrahim, Aly; Omar, Walid; Ebrahim, Sherif; Abdelmohsen, Sherif
year	2022
title	Moisture-Harvesting Lizard Skins as an Inspiration for Performative Building Envelopes in Arid Climates
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 515-528
summary	Research on shape-shifting adaptive architectural skins has recently focused on bio-inspired programmable materials. Only a few studies however examine the microstructure of living organisms, especially in terms of morphological adaptation in harsh climatic conditions. This paper explores the microstructure of moisture-harvesting lizard skins, specifically the Trapelus species of the Agamidae family in North-East Africa, as an inspiration for programmable materials in adaptive building skins in the arid climate of Egypt. The paper investigates the ability to improve the durability and morphological capabilities of programmable materials based on surface formation, utilizing digital fabrication techniques. A series of physical experiments were conducted on different samples of 3D printed wood filament under several humidity conditions, as a single layer, with textured patterns, and with the addition of potassium chloride as a moisture-harvesting chemical composite. The paper concluded that materials composed of textured patterns and moisture-harvesting chemical composites exhibited the highest moisture retention, therefore leading to advantages in its use in adaptive building skins in arid climates, through a wide variety of design possibilities for performative building envelopes.
series	ASCAAD
email
last changed	2024/02/16 13:24

_id	acadia22_34
id	acadia22_34
authors	Meibodi, Mania Aghaei; McGee, Wes; Bayramvand, Alireza
year	2022
title	Robotic 3D Printing Multilayer Building Envelope
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 34-43.
summary	This research explores the use of robotic pellet extrusion 3D printing (3DP) in the production of a multifunctional thermoplastic building envelope. A computational design method was developed to generate multi-layered systems of interconnected volumes using minimal surfaces, combined with a rib-stiffening approach that accommodates fabrication constraints. The investigation highlights the development of an integrated system that includes robotic end-effector tooling, programming/control methods to allow “endless” prints, as well as specific toolpath strategies to improve print speed and quality. These developments are then demonstrated through the design and fabrication of two 2.2 m by 1.1 m building envelope panels, and the results are discussed along with specific details of the printing process. The innovations of this research are: (1) a computational design tool that allows intuitive generation and adaptation of multilayer building envelopes to site criteria; and (2) a robust robotic control system allowing continuous, uninterrupted printing at architectural scale with minimal supervision and high-quality surface finish.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	acadia22_44
id	acadia22_44
authors	Stuart-Smith, Robert; Darekar, Durgesh; Danahy, Patrick; Kocer, Basaran Bahadir; Pawar, Vijay; Kovac, Mirko ; ,
year	2022
title	Collective Aerial Additive Manufacturing
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 44-57.
summary	This paper proposes a multi-agent mission-planning robot control framework and simulation environment for Collective Aerial Additive Manufacturing (Collective AAM) together with an approach to the design of scaffold-free 3D shell geometries suited to Collective AAM’s adaptive and incremental approach to concurrent building.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	caadria2022_54
id	caadria2022_54
authors	Zhuang, Dian and Shi, Xing
year	2022
title	Building Information Modelling based Transparent Envelope Optimization Considering Environmental Quality, Energy and Cost
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 537-546
doi	https://doi.org/10.52842/conf.caadria.2022.2.537
summary	The balance of energy consumption, indoor environmental satisfaction and cost is a continuing challenge in the field of building energy efficiency research. Building transparent envelope play a key role in building energy-saving design. While in existing BIM system, the separation of component family and local supply chain hinders the integrated performance evaluation and design. This paper proposes a general sustainable performance optimization model for transparent envelope design from the product perspective. A performance data integrated BIM technique framework, linking BIM with multi-dimension performance data stored in external database, is introduced as the foundation of local supply chain based optimization process. A multi-objective optimization model for window components is constructed for the early design stage. Three comprehensive design targets in the engineering practice, energy consumption, life cycle cost and IEQ are evaluated and optimized, representing the concern from government, developer and occupant, respectively. Autodesk Revit as the technique platform, its internal material library and adaptive component system are directly integrated for model control and feedback. An optimization tool is developed as an individual plug-in for user interaction and performance visualization. As a case study, the multi-objective optimization process is applied to design a school building in China.
keywords	BIM, multi-objective optimization, transparent envelope, sustainable performance, SDG 3, SDG 7, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	cdrf2022_165
id	cdrf2022_165
authors	DongLai Yang, Likai Wang, and Ji Guohua
year	2022
title	Embedding Design Intent into Performance-Based Architectural Design—Case Study of Applying Soft Constraints to Design Optimization
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_14
summary	The lack of consideration of subjective design intents hinders the application of performance-based design optimization to architectural design because building performance is not the only aspect that designers need to solve. In response, this study proposes a method integrating subjective design intents into performance-based design optimization using soft constraints. To demonstrate the method, a case study is presented, where the design optimization continuously provides feedback to the designer and helps them reformulate and redefine the design problem. The case study shows how the application of design optimization and soft constraints is able to assist designers in identifying implicit and hidden design problems and stimulate design exploration at the early design stage.
series	cdrf
email
last changed	2024/05/29 14:02

_id	acadia22_662
id	acadia22_662
authors	Furgiuele, Antonio; Ergezer, Mehmet; Zaman, Cagri Hakan
year	2022
title	Towards an Adversarial Architecture
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 662-671.
summary	A key technological weakness of artificial intelligence (AI) is adversarial images, a constructed form of image-noise added to an image that can manipulate machine learning algorithms but is imperceptible to humans. Adversarial Architecture explores the application of adversarial images to the built environment and develops a new method of design agency to directly engage artificial intelligence. Embedding a layer of information to physical surfaces that is only perceptible to machines has many potential applications, such as uniquely identifying and tracking objects, embedding accessibility features directly to surfaces, and counter-surveillance systems in different scales.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	ecaade2022_270
id	ecaade2022_270
authors	Akcay Kavakoglu, Aysegul, Almac, Bihter, Eser, Begum and Alacam, Sema
year	2022
title	AI Driven Creativity in Early Design Education - A pedagogical approach in the age of Industry 5.0
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 133–142
doi	https://doi.org/10.52842/conf.ecaade.2022.1.133
summary	This study presents a pedagogical experiment on the integration of AI into the project studio in the early stages of design education. The motivation of the study is to support creative encounters in design studios by promoting student-design representation, student-student, and student-artificial intelligence (AI) interaction. In the scope of this study, a short-term studio project is used as a case study to examine these creative encounters. The experiment covers five stages that enable a recursive analysis-synthesis action. The stages include (i) precedent analysis of a given set of building façades images, (ii) feature extraction, (iii) composing new façade representations through employing previously generated features, (iv) training an AI by the use of styleGAN2-ADA with the outcomes of stage 3, (v) Use of synthetically generated façade images as a design driver. The pedagogical experiment is evaluated through the lenses of novelty, style, surprisingness, and complexity concepts. The challenges and potentials are introduced, as well as elaborations on the future directions of the interplay between AI-oriented making and first-year student making.
keywords	Artificial Intelligence, Computational Creativity, Design Education, StyleGAN2-ADA
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ijac202220101
id	ijac202220101
authors	Bao, Ding Wen; Xin Yan, Yi Min Xie
year	2022
title	Encoding topological optimisation logical structure rules into multi-agent system for architectural design and robotic fabrication
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 7–17
summary	Natural phenomena have been explored as a source of architectural and structural design inspiration with different approaches undertaken within architecture and engineering. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency through a hybrid of natural phenomena, topology optimisation and generative design. Both Bi-directional Evolutionary Structural Optimisation (BESO) and multi-agent algorithms are emerging technologies developed into new approaches that transform architectural and structural design, respectively, from the logic of topology optimisation and swarm intelligence. This research aims to explore a structural behaviour feedback loop in designing intricate functional forms through encoding BESO logical structure rules into the multi-agent algorithm. This research intends to study and evaluate the application of topology optimisation and multi-agent system in form-finding and later robotic fabrication through a series of prototypes. It reveals a supposition that the structural behaviour-based design method matches the beauty and function of natural appearance and structure. Thus, a new exploration of architectural design and fabrication strategy is introduced, which benefits the collab- oration among architects, engineers and manufacturers. There is the potential to seek the ornamental complexities in architectural forms and the most efficient use of material based on structural performance in the process of generating complex geometry of the building and its various elements.
keywords	Swarm intelligence, multi-agent, bi-directional evolutionary structural optimisation (BESO), intricate architectural form, efficient structure
series	journal
last changed	2024/04/17 14:29

_id	caadria2022_507
id	caadria2022_507
authors	Bolojan, Daniel, Vermisso, Emmanouil and Yousif, Shermeen
year	2022
title	Is Language All We Need? A Query Into Architectural Semantics Using a Multimodal Generative Workflow
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 353-362
doi	https://doi.org/10.52842/conf.caadria.2022.1.353
summary	This project examines how interconnected artificial intelligence (AI)-assisted workflows can address the limitations of current language-based models and streamline machine-vision related tasks for architectural design. A precise relationship between text and visual feature representation is problematic and can lead to "ambiguity‚ in the interpretation of the morphological/tectonic complexity of a building. Textual representation of a design concept only addresses spatial complexity in a reductionist way, since the outcome of the design process is co-dependent on multiple interrelated systems, according to systems theory (Alexander 1968). We propose herewith a process of feature disentanglement (using low level features, i.e., composition) within an interconnected generative adversarial networks (GANs) workflow. The insertion of natural language models within the proposed workflow can help mitigate the semantic distance between different domains and guide the encoding of semantic information throughout a domain transfer process.
keywords	Neural Language Models, GAN, Domain Transfer, Design Agency, Semantic Encoding, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_367
id	ecaade2022_367
authors	Doumpioti, Christina and Huang, Jeffrey
year	2022
title	Field Condition - Environmental sensibility of spatial configurations with the use of machine intelligence
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 67–74
doi	https://doi.org/10.52842/conf.ecaade.2022.2.067
summary	Within computational environmental design (CED), different Machine Learning (ML) models are gaining ground. They aim for time efficiency by automating simulation and speeding up environmental performance feedback. This study suggests an approach that enhances not the optimization but the generative aspect of environmentally driven ML processes in architectural design. We follow Stan Allen's (2009) idea of 'field conditions' as a bottom-up phenomenon according to which form and space emerge from local invisible and dynamic connections. By employing parametric modeling, environmental analysis data, and conditional Generative Adversarial Networks [cGAN] we introduce a generative approach in design that reverses the typical design process of going from formal interpretation to analysis and encourages the emergence of spatial configurations with embedded environmental intelligence. We call it Intensive-driven Environmental Design Computation [IEDC], and we employ it in a case study on a residential building typology encountered in the Mediterranean. The paper describes the process, emphasizing dataset preparation as the stage where the logic of field conditions is established. The proposed research differentiates from cGAN models that offer automatic environmental performance predictions to one that spatial predictions stem from dynamic fields.
keywords	Field Architecture, Environmental Design, Generative Design, Machine Learning, Residential Typologies
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ascaad2022_004
id	ascaad2022_004
authors	Falih, Zahraa; Mahdavinejad, Mohammadjavad; Tarawneh, Deyala; Al-Mamaniori, Hamza
year	2022
title	Solar Energy Control Strategy using Interactive Modules
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 117-138
summary	The concept of interactive canopy emerged as a notable manifestation of smart buildings in architectural endeavors, using artificial intelligence applications in computational architecture, interactive canopies came as a potential response for living organisms to combat external environmental changes as well as reduce energy consumption in buildings. This research aims to explore architecture with higher efficiency through the impact of environmentally technological factors on the design form by introducing solar energy into the design process through the implementation of interactive curtains that interact with the sun in the form of an umbrella. The main objective of the umbrellas is to protect the users from the sun's harmful rays. After designing an interactive cell using Grasshopper, the methodology follows an analytical and experimental approach, the analytical section is summarized by conducting a case study of multiple models and analyzing the techniques used in these models to discover the significant advantages and disadvantages of the design. While the experimental section demonstrates the mechanism for implementing the interactive modules. The research suggests that by designing an interactive canopy that responds to external changes and senses solar radiation in ways that when the intensity of solar radiation increases and the sun is perpendicular to the dynamic units, will lead to maintaining a more balanced level of illumination. The work efficiency is studied by simulating it by Climate Studio.
series	ASCAAD
email
last changed	2024/02/16 13:24

_id	ecaade2022_366
id	ecaade2022_366
authors	Geropanta, Vasiliki, Karagianni, Anna, Parthenios, Panagiotis, Ampatzoglou, Triantafyllos, Fatouros, Loukas, Simantiraki, Vasiliki, Brokos-Melissaratos, Orestis and Eleftheriadis, Dimitris
year	2022
title	Digitalization of Participatory Greening - The case of UnionYouth in Chania
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 469–478
doi	https://doi.org/10.52842/conf.ecaade.2022.1.469
summary	The contemporary climate crisis pushed communities of actors, cities and citizens to use smart technology, digital platforms, and data-based intelligence to steer creative solutions for greening in their urban ecosystems. This phenomenon brought about an increasing imperative for citizen participation and inclusion, in the co-design of green infrastructures, suggesting alternative ways to deal with the lack or misuse of public space. In this framework, this paper analyzes the case of ''UnionYouth in Chania'', a project that aims a) to build an environmental awareness strategy for Generation Z, b) to promote capacity-building processes related to climate change and environmental protection, c) actually transform the city public space through participatory processes. Specifically, the project describes the creation of a digital platform and a mobile app consisting of several engagement tools that allow interaction between the digital community of youth, the city's decision-makers, and city greening actors. Therefore, the first part of the paper talks about the necessity of promoting today's participatory processes in the city for climate change mitigation through a literature review that emerged in the last decade. The second part of the paper examines a case study, namely UnionYouth in Chania, a digital collaborative platform that promotes methods for greening the city through district-based, activity-based, and network-based redesign solutions. The third part of the paper brings about interesting reflections on the relationship between the analog and digital world, and how bottom-up processes may be an important tool in city planning. The overall scope of the analysis of the specific case study is to bring insights into the architectural world, as a means to create more bridges with citizens and communities and contribute to their greening understanding.
keywords	Climate Change, Generation Z, Green Infrastructure, Raise Awareness, Mobile Application, Participatory Design, Smart City
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2022_15
id	sigradi2022_15
authors	Jiang, Wanzhu; Wang, Jiaqi
year	2022
title	Autonomous Collective Housing Platform: Digitization, Fluidization and Materialization of Ownership
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 15–26
summary	New social phenomena like digital nomads urge an upgrade in housing ownership. This research proposes an autonomous housing platform that shapes residential communities into adaptive and reconfigurable systems, framing a cycle of digitalization, fluidization and materialization of housing ownership. Specifically, the interactive interface carries the flexible ownership model that uses virtual space voxels as digital currency; the artificial intelligence algorithm drives the multilateral ownership negotiation and circulation, and modular robots complete the mapping from ownership status to real spaces. Taking project TESSERACT as a case study, we verified the feasibility of this method and presented expected co-living scenarios: the spaces and ownership are constantly adjusted according to demands and are always in the closest interaction with users. By exploring the ownership evolution, this research guides an integrated and inclusive housing system paradigm, triggering critical evaluation of traditional models and providing new ideas for solving housing problems in the post-digital era.
keywords	Agent-Based Systems, Digital Platform, Housing Ownership, Space Planning Algorithm, Discrete Material System
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	ijac202220206
id	ijac202220206
authors	Khalil, Randa; Ahmed El-Kordy; Hesham Sobh
year	2022
title	A review for using swarm intelligence in architectural engineering
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 254–276
summary	Swarm intelligence algorithms are natural-inspired computational methods that mimic the social interactionbetween creatures to solve certain problems. Swarmative computational architecture (SCA) is a novelnomenclature proposed by the authors to present the use of various swarm algorithms in solving architectural problems. It includes three main aspects: form generation/adaptation, performance evaluation, andoptimization. This study provides a systematic review and comparative analysis for the major publicationswithin the review scope. The correspondence between dynamic subjects and the objective functions for theoptimization process is presented. Particularly, dynamic subjects such as building formation parameters andobjective functions such as occupant comfort and energy consumption. The main results and criteria arecategorized into the design approach, case study, form generation/adaptation, and performance evaluation/optimization. Finally, this review presents the current trends and highlights the gaps in the use of swarmalgorithms to solve architectural engineering problems
keywords	Swarm intelligence, evolutionary algorithm, performative computational architecture, architectural design,building design, computational optimization
series	journal
last changed	2024/04/17 14:29

_id	caadria2022_490
id	caadria2022_490
authors	Li, Ce, Guo, Zhe, Cai, Chengzhi, Miao, Junyi, Cao, Xiaoyu, Li, Cong, Guo, Yefei, Cao, Qingning, Zheng, Zifei, Guo, Yuchen, Wu, Wanling, Xu, Zhiyan and Zhou, Xinyan
year	2022
title	Softness and Hardness: What Does Concrete Want? Concrete Physical Form Finding Based on Computational Combined Formwork
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 233-242
doi	https://doi.org/10.52842/conf.caadria.2022.2.233
summary	This project proposes a physical form finding design method by generating concrete flexible formwork through digital algorithm, which aims to explore the potential formal correlation between real material as the medium of transmitting information in physical space and virtual data, so as to discuss the autonomy and intelligence of material under the support of digital design technology. The first part of this paper first discusses the current situation of the application and development of concrete materials in the field of digital construction in recent years, and then studies the adaptability of flexible formwork to the flowable characteristics of concrete materials; Then, the second part puts forward the moulding method of concrete physical shape finding through flexible and rigid composite formwork, and tries to explore the influence of formwork shape under the control of digital algorithm on this process; The third part of the paper records the process of concrete moulding experiment under this method to discuss the internal relationship between the physical form of concrete and combined formwork.
keywords	Physical Form Finding, Textile Concrete Formwork, Material Attributes, Concrete Fabrication, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_120
id	caadria2022_120
authors	Lin, Yuxin
year	2022
title	Rhetoric, Writing, and Anexact Architecture: The Experiment of Natural Language Processing (NLP) and Computer Vision (CV) in Architectural Design
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 343-352
doi	https://doi.org/10.52842/conf.caadria.2022.1.343
summary	This paper presents a novel language-driven and artificial intelligence-based architectural design method. This new method demonstrates the ability of neural networks to integrate the language of form through written texts and has the potential to interpret the texts into sustainable architecture under the topic of the coexistence between technologies and humans. The research merges natural language processing, computer vision, and human-machine interaction into a machine learning-to-design workflow. This article encompasses the following topics: 1) an experiment of rethinking writing in architecture through anexact form as rhetoric; 2) an integrative machine learning design method incorporating Generative Pre-trained Transformer 2 model and Attentional Generative Adversarial Networks for sustainable architectural production with unique spatial feeling; 3) a human-machine interaction framework for model generation and detailed design. The whole process is from inexact to exact, then finally anexact, and the key result is a proof-of-concept project: Anexact Building, a mixed-use building that promotes sustainability and multifunctionality under the theme of post-carbon. This paper is of value to the discipline since it applies current and up-to-date digital tools research into a practical project.
keywords	Rhetoric and writing, Natural Language Processing, Computer Vision, GPT-2, AttnGAN, Human-computer Interaction, Architectural Design, Post-carbon, SDG3, SDG11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_001
id	ecaade2022_001
authors	Pak, Burak, Wurzer, Gabriel and Stouffs, Rudi
year	2022
title	eCAADe 2022 Co-creating the Future: Inclusion in and through Design- Volume 2
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, 646 p.
doi	https://doi.org/10.52842/conf.ecaade.2022.2
summary	Spatial design is becoming an increasingly social, participatory and inclusive practice. In the last decade, ordinary people all around the world have started to claim a shaping power over the processes of urbanization; over the ways in which our cities are made and remade (Harvey, 2013). There has been a resurgence in the number of do-it-yourself cooperatives initiated by non-designer citizens, activists, artists and designers. In parallel to these developments, a plethora of social technologies, tools and platforms have been developed to include a variety of stakeholders in the architectural design, urban design, planning and decision-making processes. Crowdsourcing and crowdfunding applications started to be widely used to tap into the wisdom of the crowd. Novel developments in parametric design and digital fabrication created possibilities for user participation in the making of customized and highly diversified products. With the combination of artificial intelligence and the Internet of Things, smart buildings, autonomous devices, robots and software started to transform into agents and active participants. The attempts to harness collective human and artificial intelligence opened up new avenues for combining practice, research and education. On the other hand, there is a growing concern over the possible negative impact of the digital devices, tools, platforms and agents integrated in the making of our buildings and cities, public, private and collective spaces. Examples of those are the potential exclusion of vulnerable and disadvantaged citizens, transfer of citizen power to the corporations, privatization of personal life and data, as well as spatial exclusion through increased technological control and surveillance.
keywords	Proceedings, Front Matter
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_000
id	ecaade2022_000
authors	Pak, Burak, Wurzer, Gabriel and Stouffs, Rudi
year	2022
title	eCAADe 2022 Co-creating the Future: Inclusion in and through Design - Volume 1
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, 672 p.
doi	https://doi.org/10.52842/conf.ecaade.2022.1
summary	Spatial design is becoming an increasingly social, participatory and inclusive practice. In the last decade, ordinary people all around the world have started to claim a shaping power over the processes of urbanization; over the ways in which our cities are made and remade (Harvey, 2013). There has been a resurgence in the number of do-it-yourself cooperatives initiated by non-designer citizens, activists, artists and designers. In parallel to these developments, a plethora of social technologies, tools and platforms have been developed to include a variety of stakeholders in the architectural design, urban design, planning and decision-making processes. Crowdsourcing and crowdfunding applications started to be widely used to tap into the wisdom of the crowd. Novel developments in parametric design and digital fabrication created possibilities for user participation in the making of customized and highly diversified products. With the combination of artificial intelligence and the Internet of Things, smart buildings, autonomous devices, robots and software started to transform into agents and active participants. The attempts to harness collective human and artificial intelligence opened up new avenues for combining practice, research and education. On the other hand, there is a growing concern over the possible negative impact of the digital devices, tools, platforms and agents integrated in the making of our buildings and cities, public, private and collective spaces. Examples of those are the potential exclusion of vulnerable and disadvantaged citizens, transfer of citizen power to the corporations, privatization of personal life and data, as well as spatial exclusion through increased technological control and surveillance.
series	eCAADe
email
last changed	2024/04/22 07:10

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