| _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 |
| doi |
https://doi.org/10.52842/conf.caadria.2022.1.353
|
| 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 |
| 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 |
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 |
| doi |
https://doi.org/10.52842/conf.caadria.2022.1.343
|
| 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 |
| 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 |
architectural_intelligence2022_4 |
| id |
architectural_intelligence2022_4 |
| authors |
Yihui Li, Wen Gao & Borong Lin |
| year |
2022 |
| title |
From type to network: a review of knowledge representation methods in architecture intelligence design |
| doi |
https://doi.org/https://doi.org/10.1007/s44223-022-00006-9
|
| source |
Architectural Intelligence Journal |
| summary |
With the rise of the next generation of artificial intelligence driven by knowledge and data, the research on knowledge representation in architecture is also receiving widespread attention from the academia. This paper sorts out the evolution of architectural knowledge representation methods in the history of architecture, and summarizes three progressive representation frameworks of their development with type, pattern and network. By searching these three keywords in the Web of Science Core Collection among 4867 publications from 1990 to 2021, the number of publications in the past 5 years raised more than 50%, which show significant research interest in architecture industry in recent years. Among them, the first two are static declarative knowledge representation methods, while the network-based knowledge representation method also includes procedural knowledge representation methods and provides a way for knowledge association. This means the network representation has more advantage in terms of the logical completeness of knowledge representation, and accounts for 67% of the current research on knowledge representation in architecture. In the context of the rapid development of artificial intelligence, this method can realize the construction of architectural knowledge system and greatly improve the work efficiency of the building industry. On the other hand, in the face of carbon-neutral sustainable development scenarios, using knowledge representation, building performance knowledge and design knowledge could be expressed in a unified manner, and a personalized and efficient workflow for performance-oriented scheme design and optimization would be achieved. |
| series |
Architectural Intelligence |
| email |
|
| last changed |
2025/01/09 15:00 |
| _id |
caadria2022_208 |
| id |
caadria2022_208 |
| authors |
Bielski, Jessica, Langenhan, Christoph, Ziegler, Christoph, Eisenstadt, Viktor, Petzold, Frank, Dengel, Andreas and Althoff, Klaus-Dieter |
| year |
2022 |
| title |
The What, Why, What-If and How-To for Designing Architecture, Explainability for Auto-Completion of Computer-Aided Architectural Design of Floor Plan Layouting During the Early Design Stages |
| doi |
https://doi.org/10.52842/conf.caadria.2022.2.435
|
| 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. 435-444 |
| summary |
In the next thirty years, the world's population is expected to increase to ten billion people, posing major challenges for the construction industry. To meet the growing demands for residential housing in the future, architects need to work faster, more efficiently, and more sustainably, while increasing architectural quality. The hypothetical intelligent design assistant WHITE BRIDGE, based on the methods of the 'metis' projects, suggests further design steps to support the architectural design decision-making processes of the early design phases. This facilitates faster and better decisions early in the process for a more responsible resource consumption, better mental well-being, and ultimately economic growth. Through a case study we investigate if additional information supports the understanding of these suggestions to reduce the cognitive workload of architectural design decisions on the backdrop of their respective representation. The paper contributes an approach for visualising explanations of an intelligent design assistant, their integration into paper prototypes for case studies, and a workflow for data collection and analysis. The results suggest that the cognitive horizon of the architects is broadened by the explanations, while the visualisation methods significantly influence the usefulness and use of the conveyed information within the explanations. |
| keywords |
Explainability, Artificial intelligence, XAI, SDG 3, SDG 8, SDG 12 |
| series |
CAADRIA |
| email |
|
| last changed |
2022/07/22 07:34 |
| _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 |
acadia23_v3_195 |
| id |
acadia23_v3_195 |
| authors |
Gandia, Augusto; Iverson, Aileen |
| year |
2023 |
| title |
Hybrid Making: Physical Explorations with Computational Matter |
| 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 |
This publication introduces hybrid making as the subject of a workshop conducted at the ACADIA Conference 2023 (See Fig. 1). We contextualize hybrid making in today’s design digitalization marked by the opening of Artificial Intelligence (AI), wherein AI is seen as an accelerant in the ongoing digital evolution. In design-related practice and research, digital design is increasingly dominant (See Fig. 2); as shown in a quick survey of ACADIA 2022 wherein 10 out of 14 workshops focused on topics related to digitalization. Given this context, the subject of our workshop, hybrid making, highlights that which is excluded in purely digital processes, namely a richness of designing associated with the qualities of materials and fabrication (See Fig. 3). Hybrid making seeks to influence digital evolution with aspects of analogue processes such as the integration of constraints related to actual physical materials and their context. The task of hybrid making, therefore, is to introduce actual constraints into digital ones (See Fig. 4). |
| series |
ACADIA |
| type |
workshop |
| email |
|
| last changed |
2024/04/17 14:00 |
| _id |
caadria2022_231 |
| id |
caadria2022_231 |
| authors |
Kim, Frederick Chando and Huang, Jeffrey |
| year |
2022 |
| title |
Deep Architectural Archiving (DAA), Towards a Machine Understanding of Architectural Form |
| doi |
https://doi.org/10.52842/conf.caadria.2022.1.727
|
| 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. 727-736 |
| summary |
With the ‚digital turn‚, machines now have the intrinsic capacity to learn from big data in order to understand the intricacies of architectural form. This paper explores the research question: how can architectural form become machine computable? The research objective is to develop "Deep Architectural Archiving‚ (DAA), a new method devised to address this question. DAA consists of the combination of four distinct steps: (1) Data mining, (2) 3D Point cloud extraction, (3) Deep form learning, as well as (4) Form mapping and clustering. The paper discusses the DAA method using an extensive dataset of architecture competitions in Switzerland (with over 360+ architectural projects) as a case study resource. Machines learn the particularities of forms using 'architectural' point clouds as an opportune machine-learnable format. The result of this procedure is a multidimensional, spatialized, and machine-enabled clustering of forms that allows for the visualization of comparative relationships among form-correlated datasets that exceeds what the human eye can generally perceive. Such work is necessary to create a dedicated digital archive for enhancing the formal knowledge of architecture and enabling a better understanding of innovation, both of which provide architects a basis for developing effective architectural form in a post-carbon world. |
| keywords |
artificial intelligence, deep learning, architectural form, architectural competitions, architectural archive, 3D dataset, SDG 11 |
| series |
CAADRIA |
| email |
|
| last changed |
2022/07/22 07:34 |
| _id |
caadria2022_223 |
| id |
caadria2022_223 |
| authors |
Kim, Jong Bum, Oprean, Danielle, Cole, Laura and Zangori, Laura |
| year |
2022 |
| title |
Net Zero Game: A Pilot Study of Game Development for Green Building Education in Rural Schools |
| doi |
https://doi.org/10.52842/conf.caadria.2022.2.455
|
| 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. 455-464 |
| summary |
The research investigates the design and development of a serious game to teach green building design and energy literacy in rural middle schools in the United States. The paper presents a pilot study, education mini-game development integrated with parametric BIM and energy simulations. The game scenario was built on the developed science curriculum modules in our funded research, teaching building energy technologies such as daylighting, artificial lighting, window configurations, building materials, solar panels, etc. The mini game presents a baseline science lab and a media library of typical public schools in the United States. The players have the opportunity to improve energy literacy in several ways: manipulating the building configurations and the energy options, reviewing energy cost and the emission level changes, and monitoring the performance from the dashboards. This paper presents background theory, curriculum design, the mini-game development framework, methods and tools for energy simulation and BIM visualization, and the findings and challenges. |
| keywords |
Serious Game, Energy Literacy, Green Building Education, Parametric BIM, Energy Simulation, SDG 4, SDG 11 |
| series |
CAADRIA |
| email |
|
| last changed |
2022/07/22 07:34 |
| _id |
ecaade2022_176 |
| id |
ecaade2022_176 |
| authors |
Kotov, Anatolii, Starke, Rolf and Vukorep, Ilija |
| year |
2022 |
| title |
Spatial Agent-based Architecture Design Simulation Systems |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.2.105
|
| 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. 105–112 |
| summary |
This paper presents case studies and analysis of agent-based reinforcement learning (RL) systems towards practical applications for specific architecture/engineering tasks using Unity 3D-based simulation methods. Finding and implementing sufficient abstraction for architecture and engineering problems to be solved by agent-based systems requires broad architectural knowledge and the ability to break down complex problems. Modern artificial intelligence (AI) and machine learning (ML) systems based on artificial neural networks can solve complex problems in different domains such as computer vision, language processing, and predictive maintenance. The paper will give a theoretical overview, such as more theoretical abstractions like zero-sum games, and a comparison of presented games. The application section describes a possible categorization of practical usages. From more general applications to more narrowed ones, we explore current possibilities of RL application in the field of relatable problems. We use the Unity 3D engine as the basis of a robust simulation environment. |
| keywords |
AI Aided Architecture, Reinforcement Learning, Agent Simulation |
| series |
eCAADe |
| email |
|
| last changed |
2024/04/22 07:10 |
| _id |
ecaade2022_47 |
| id |
ecaade2022_47 |
| authors |
Marsillo, Laura, Suntorachai, Nawapan, Karthikeyan, Keshava Narayan, Voinova, Nataliya, Khairallah, Lea and Chronis, Angelos |
| year |
2022 |
| title |
Context Decoder - Measuring urban quality through artificial intelligence |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.2.237
|
| 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. 237–246 |
| summary |
Understanding the quality of places during the early design process can improve design decision making and increase not only the chance of effective site development for the place and surroundings but also provide foresight to the mental, physical and environmental well-being of the future occupants. A context can be described differently depending on the designer's studies. However, in order to view the place holistically, various layers should be considered for a cross-disciplinary correlation. This paper proposes a prototypical tool to evaluate the quality of places using machine learning to help cluster and visualise design metrics according to the features provided. By selecting a location in a city, it offers other site contexts with similar characteristics and a similar level of complexity in relation to the surroundings. The tool was initially developed for Naples (Italy) as a case study city and incorporates key indicators related to connectivity of amenities, walkability, urban density, population density, outdoor thermal comfort, popular rate review and sentiment analysis from social media. With current open-source data, these indicators such as OpenStreetMap or social media sentiment can be collected with embedded geotags. These site-specific multilayers were evaluated under the metrics of 3 ranges i.e 400, 800 and 1,200-metre walking distance. This paper demonstrates the potential of using machine learning integrated with computational design tools to visualise the otherwise invisible data for users to interpret any context comprehensively in a holistic approach. Even though this tool is made for Naples, this tool can be extended to other cities across the world. As a result, the tool assists users in understanding not only site-specific location but also draws lines to other neighbourhoods within the city with a similar phenomenon of correlation between key performance indicators. |
| keywords |
Computational Design, Urban Analysis, Machine Learning, Computer Vision, Sentiment Analysis |
| 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 |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.1
|
| 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. |
| 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 |
| _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 |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.2
|
| 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. |
| 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 |
acadia22pr_52 |
| id |
acadia22pr_52 |
| authors |
Rieger, Uwe; Liu, Yinan; Kaluarachchi, Tharindu; Barde, Amit |
| year |
2022 |
| title |
LightSense - Architecture as a Creative Partner |
| source |
ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 52-57. |
| summary |
LightSense is an interactive Extended Reality (XR) installation. It is a design research project that investigates a new generation of responsive architecture by linking a transformable physical construction with its Artificial Intelligence (AI) enhanced digital twin. |
| series |
ACADIA |
| type |
project |
| email |
|
| last changed |
2024/02/06 14:04 |
| _id |
caadria2022_508 |
| id |
caadria2022_508 |
| authors |
Yousif, Shermeen and Bolojan, Daniel |
| year |
2022 |
| title |
Deep Learning-Based Surrogate Modeling for Performance-Driven Generative Design Systems |
| doi |
https://doi.org/10.52842/conf.caadria.2022.1.363
|
| 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. 363-372 |
| summary |
Within the context of recent research to augment the design process with artificial intelligence (AI), this work contributes by introducing a new method. The proposed method automates the design environmental performance evaluation by developing a deep learning-based surrogate model to inform the early design stages. The project is aimed at automating performative design aspects, enabling designers to focus on creative design space exploration while retrieving real-time predictions of environmental metrics of evolving design options in generative systems. This shift from a simulation-based to a prediction-based approach liberates designers from having to conduct simulation and optimization procedures and allows for their native design abilities to be augmented. When introduced into design systems, AI strategies can improve existing protocols, and enable attaining environmentally conscious designs and achieve UN Sustainable Development Goal 11. |
| keywords |
Deep Learning, Artificial Intelligence, Surrogate Modeling, Automating Building Performance Simulation, Generative Design Systems, SDG11 |
| series |
CAADRIA |
| email |
|
| last changed |
2022/07/22 07:34 |
| _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 |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.1.585
|
| 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 |
| 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 |
architectural_intelligence2022_6 |
| id |
architectural_intelligence2022_6 |
| authors |
Achim Menges, Fabian Kannenberg & Christoph Zechmeister |
| year |
2022 |
| title |
Computational co-design of fibrous architecture |
| doi |
https://doi.org/https://doi.org/10.1007/s44223-022-00004-x
|
| source |
Architectural Intelligence Journal |
| summary |
Fibrous architecture constitutes an alternative approach to conventional building systems and established construction methods. It shows the potential to converge architectural concerns such as spatial expression and structural elegance, with urgently required resource effectiveness and material efficiency, in a genuinely computational approach. Fundamental characteristics of fibre composite are shared with fibre structures in the natural world, enabling the transfer of design principles and providing a vast repertoire of inspiration. Robotic fabrication based on coreless filament winding, a technique to deposit resin impregnated fibre filaments with only minimal formwork, as well as integrative computational design methods are imperative to the development of complex fibrous building systems. Two projects, the BUGA Fibre Pavilion as an example for long-span structures, and Maison Fibre as an example of multi-storey architecture, showcase the application of those techniques in an architectural context and highlight areas of further research opportunities. The highly interrelated aesthetic, structural and fabrication characteristics of fibre nets are difficult to understand and go beyond a designer’s comprehension and intuition. An AI powered, self-learning agent system aims to extend and thoroughly explore the design space of fibre structures to unlock the full design potential coreless filament winding offers. In order to ensure feedback between all relevant design and performance criteria and enable interdisciplinary convergence, these novel design methods are embedded in a larger co-design framework. It formalizes the interaction of involved interdisciplinary domains and allows for interactive collaboration based on a central data model, serving as a base for design optimisation and exploration. To further advance research on fibre composites in architecture, bio-based materials are considered, continuing the journey of discovery of fibrous architecture to fundamentally rethinking design and construction towards a novel, computational material culture in architecture. |
| series |
Architectural Intelligence |
| email |
|
| last changed |
2025/01/09 15:00 |
| _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 |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.1.469
|
| 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 |
| 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 |
architectural_intelligence2022_14 |
| id |
architectural_intelligence2022_14 |
| authors |
Philip F. Yuan, Xinjie Zhou, Hao Wu, Liming Zhang, Lijie Guo, Yun Shi, Zhe Lin, Jinyu Bai, Youhai Yu & Shanglu Yang |
| year |
2022 |
| title |
Robotic 3D printed lunar bionic architecture based on lunar regolith selective laser sintering technology |
| doi |
https://doi.org/https://doi.org/10.1007/s44223-022-00014-9
|
| source |
Architectural Intelligence Journal |
| summary |
The lunar base is not only an experimental station for extraterrestrial space exploration but also a dwelling for humans performing this exploration. Building a lunar base presents numerous obstacles and requires environmental perception, feedback design, and construction methods. An integrated fabrication process that incorporates design, 3D printing workflow, and construction details to build a bionic, reconfigurable and high-performance lunar base prototype is presented in this paper. The research comprises the study of the lunar regolith 3D printing mechanism, the real-time control of powder laying and compaction procedure, and the development of a 3D printing tool end system. In this paper, many scientific questions regarding in situ fabrication on the lunar surface are raised and addressed with the proposal of a progressive optimization design method, the molding principle, and gradation strategy of lunar soil-polyaryletherketone (PAEK) hybrid powder, and the principle of dual-light field 3D laser printing. The feasibility of the technical strategy proposed in this paper is verified by the presented empirical samples. |
| series |
Architectural Intelligence |
| email |
|
| last changed |
2025/01/09 15:00 |
| _id |
ascaad2022_030 |
| id |
ascaad2022_030 |
| authors |
Sun, Yuan; Wang, Zhu |
| year |
2022 |
| title |
Construction Based on Man-Machine Collaboration: A Case Study of a Bamboo Pavilion |
| 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. 503-514 |
| summary |
With the development of advanced digital design approaches and mechanical facilities, architectural intelligence liberates conventional construction from conventional paradigms. Computational design and digital fabrication have achieved progress in space innovation, construction efficiency, and material effectiveness. However, those high-tech manufacturing techniques are not widely available in developing countries, where the locals used to carry construction experience from age to age in a nonacademic way. This study explored a collaborative workflow of complex structural design and machine-aided construction in Chinese rural areas. First, we designed a bamboo pavilion parametrically in an irregular site on a hill. Second, its primary structure was optimized based on determining critical load and earthquake resistance to meet local building codes. Then, before material processing, every bamboo component was numbered by algorithm, with its location and morphological data of length and radian calculated accurately on the construction drawings. In the transitional process from the conventional paradigm by experience towards man-machine collaboration, local workers' manual techniques helped minimize construction errors and improve details, which were not adequately predicted and considered beforehand. This study case suggested that respective advantages of both traditional and digital modes should be integrated and balanced based on collaboration between local construction workers and professional researchers, especially as a social role for future vernacular architecture practice. |
| series |
ASCAAD |
| email |
|
| last changed |
2024/02/16 13:24 |
