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	cdrf2021_45
id	cdrf2021_45
authors	Wen Gao, Xuanming Zhang, Weixin Huang, and Shaohang Shi
year	2021
title	Command2Vec: Feature Learning of 3D Modeling Behavior Sequence—A Case Study on “Spiral-stair”
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_5
summary	In this study, we applied machine learning to mine the event logs generated in modeling process for behavior sequence clustering. The motivation for the study is to develop cognitively intelligent 3D tools through process mining which has been a hot area in recent years. In this study, we develop a novel classification method Command2Vec to perceive, learn and classify different design behavior during 3D-modeling aided design process. The method is applied in a case study of 112 participate students on a ‘Spiral-stair’ modeling task. By extracting the event logs generated in each participate student’s modeling process into a new data structures: ‘command graph’, we classified participants’ behavior sequences from final 99 valid event logs into certain groups using our novel Command2Vec. To verify the effectiveness of our classification, we invited five experts with extensive modeling experience to grade the classification results. The final grading shows that our algorithm performs well in certain grouping of classification with significant features.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2024_197
id	caadria2024_197
authors	Xia, Shengtao, Cheng, Yiming and Tian, Runjia
year	2024
title	ARCHICLIP: Enhanced Contrastive Language–Image Pre-training Model With Architectural Prior Knowledge
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 69–78
doi	https://doi.org/10.52842/conf.caadria.2024.1.069
summary	In the rapidly evolving field of Generative AI, architects and designers increasingly rely on generative models for their workflows. While previous efforts focused on functional or building performance aspects, designers often prioritize novelty in architectural design, necessitating machines to evaluate abstract qualities. This article aims to enhance architectural style classification using CLIP, a Contrastive Language–Image Pre-training method. The proposed workflow involves fine-tuning the CLIP model on a dataset of over 1 million architecture-specific image-text pairs. The dataset includes project descriptions and tags, aiming at capturing spatial quality. Fine-tuned CLIP models outperform pre-trained ones in architecture-specific tasks, showcasing potential applications in training diffusion models, guiding generative models, and developing specialized search engines for architecture. Although the dataset awaits human designer review, this research offers a promising avenue for advancing generative tools in architectural design.
keywords	machine learning, generative design, Contrastive Language-Image Pre-training, artificial intelligence
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	3e4c
authors	Xiao, Litian and Hao, Xueying
year	1999
title	A Knowledge Base System in the Residential Intelligent CAD System
source	CAADRIA '99 [Proceedings of The Fourth Conference on Computer Aided Architectural Design Research in Asia / ISBN 7-5439-1233-3] Shanghai (China) 5-7 May 1999, pp. 161-170
doi	https://doi.org/10.52842/conf.caadria.1999.161
summary	The paper discusses the construction of knowledge-base system in a residential intelligent CAD system (RICAD). It introduces the main parts of residential architecture knowledge-base, the division and management of residential architecture knowledge, the classification of rules, the inference engine and the control strategy, and the fuzzy processing method. RICAD can produce the residential construction drawings under the bounded conditions given by the user. The paper also discusses some reality models and algorithm. These are effective in the practice.
keywords	Knowledge Base, Intelligent CAD, Residential Design, Architectural Construction Drawings
series	CAADRIA
last changed	2022/06/07 07:57

_id	caadria2024_449
id	caadria2024_449
authors	Xie, Yuchen, Li, Yunqin, Zhang, Jiaxin, Zhang, Jiahao and Kuang, Zheyuan
year	2024
title	Analysis of Differences in Street Visual Walkability Perception Between DCNN and ViT Model Based on Panoramic Street View Images
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 29–38
doi	https://doi.org/10.52842/conf.caadria.2024.2.029
summary	In measuring Urban Street Visual Walkability Perception (VWP) using Street View Images (SVIs), the VWP classification deep multitask learning (VWPCL) model based on the Deep Convolutional Neural Network (DCNN) shows notable deficiencies in recognizing local features within panoramic images. Addressing this, the study introduces a Vision Transformer (ViT)-based VWPCL model and employs various methods comparing its performance with DCNN. Initially, we assess the basic accuracy and validity performance using traditional metrics such as recall rates, and precision. Furthermore, we use the SHAP model for interpretable machine learning to analyse the significance and contribution of streetscape elements. Finally, the results of panoramic SVIs classification and feature display from different angles at the same location are compared by the Grad-CAM model to further visualise and explain the differences in feature elements that affect the classification of the computer vision model. Findings show the ViT-based VWPCL model, as compared to the traditional DCNN framework, mitigates image distortions in panoramic SVIs while demonstrating higher accuracy that aligns more closely with human visual cognition. The primary contribution of this study lies in qualitatively and quantitatively comparing the performance disparities between ViT and DCNN in the realm of street VWP.
keywords	visual walkability perception, panoramic street view images, deep convolutional neural network, vision transformer, grad-cam
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2018_200
id	ecaade2018_200
authors	Yetiº, Gizem, Yetkin, Ozan, Moon, Kongpyung and K?l?ç, Özkan
year	2018
title	A Novel Approach for Classification of Structural Elements in a 3D Model by Supervised Learning
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 129-136
doi	https://doi.org/10.52842/conf.ecaade.2018.1.129
summary	Development of Computer Aided Design (CAD) has made a transition from 2D to 3D architectural representation and today, designers directly work with 3D digital models for the initial design process. While these digital models are being developed, layering and labelling of 3D geometries in a model become very crucial for a detailed design phase. However, when the number of geometries increases, the process of labelling and layering becomes simple labor. Hence, this paper proposes automation for labelling and layering of segmented 3D digital models based on architectural elements. In various parametric design environments (Rhinoceros, Grasshopper, Grasshopper Python and Grasshopper Python Remote), a training set is generated and applied to supervised learning algorithms to label architectural elements. Automation of the labelling and layering 3D geometries not only advances the workflow performance of design process but also introduces wider range of classification with simple features. Additionally, this research discovers advantages and disadvantages of alternative classification algorithms for such an architectural problem.
keywords	Automation; Classification; Grasshopper Python; Layering; Labelling; Supervised Learning
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2024_11
id	ecaade2024_11
authors	Yilmaz, Emirkan Burak; Tan Bayram, Funda; Balcan, Cem; Arslantürk, Esra; Arslan Ercan, ªeyda; Akgül, Yusuf Sinan
year	2024
title	Viewing History through the Lens of Artificial Intelligence: Classification of late Ottoman and early Republican period buildings in Türkiye with Convolutional Neural Network (CNN)
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. 565–574
doi	https://doi.org/10.52842/conf.ecaade.2024.1.565
summary	This study employs Convolutional Neural Networks (CNNs) to classify late Ottoman and early Republican period buildings in Türkiye, offering a unique lens through artificial intelligence (AI) to examine architectural styles. By training on a specially curated dataset, including images of 16 architects' works, the study achieves accuracy rates of 84.65% for a limited architect dataset and 74.08% for the full architect dataset. EfficientNet emerges as the optimal architecture, surpassing Baseline, VGG, and ResNet models. Through t-Distributed Stochastic Neighbor Embedding (t-SNE), the model visualizes relationships among architects' styles. This research not only provides a new perspective on Turkey's architectural heritage but also establishes a platform for future AI-driven architectural analyses and design paradigms.
keywords	Convolutional Neural Networks, Architectural Style Classification, Late Ottoman Period, Early Turkish Republican Period
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2023_24
id	caadria2023_24
authors	Yin, Xiang
year	2023
title	AI and Typology
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 39–48
doi	https://doi.org/10.52842/conf.caadria.2023.1.039
summary	The paper discusses a novel design approach that applies artificial intelligence as an auxiliary tool throughout typology research and architectural design. The method attempts to utilize neural network as a research tool to detect and identify features of a typical architectural type within the specific society context and demonstrate its potential for regional design under the theme of human centric. Typology classification, computational vision, and human-machine collaboration are entwined throughout machine learning and architectural design. The paper aims to demonstrate the ability of 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions (TreeGAN) to study the inherent principle and characteristic of an architectural type and its potential to provide possible design inspirations based on the typological formation principles concluded by Deep Learning. The article exhibits the key result generated by TreeGAN in a specific architecture type—churches, as the prototype of a design method and conducts a project in Manhattan.
keywords	Architecture Typology, Artificial Intelligence, Machine Learning, TreeGAN, Human-machine Collaboration
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ga0234
id	ga0234
authors	Yingfei, W., Mingxi, T., Frazer, J.H., Shouqian, S. and Yunhe, P.
year	2002
title	A collaborative platform supporting graphic pattern design and reuse of design knowledge
source	International Conference on Generative Art
summary	A pattern generation system based on an object-oriented pattern knowledge representation method developed previously in Zhejiang University is introduced. We evaluate the effectiveness of this system from authors’ current new research perspective in the Design Technology Research Centre of the Hong Kong Polytechnic University. We then put forward a new platform model to support graphical pattern design emphasising ethnic minority culture. The purpose of building this new platform is to increase the ability of the system in supporting collaborative design. New methods are developed for representing patterns as well as the knowledge about how they can be reused in design applications. In this paper the method for element dynamic classification, knowledge representation of pattern design and the system architecture are introduced.
series	other
email
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

_id	sigradi2023_20
id	sigradi2023_20
authors	Yonder, Veli Mustafa, Çavka, Hasan Burak and Dogan, Fehmi
year	2023
title	A Case Study on Architectural Sketch Recognition Utilizing Deep Learning Networks for Exterior and Interior Datasets
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 265–276
summary	Sketching is a pivotal component in facilitating the effective conveyance of ideas and the actualization of architectural design concepts. The potential applications of machine learning and computer vision algorithms in the fields of technical drawing and architectural graphic communication are substantial, presenting a diverse array of possibilities. This research investigates the effectiveness of deep learning-based classification techniques in analyzing both indoor and outdoor freehand architectural perspective drawings. Furthermore, the transfer learning approach was employed in this binary classification problem. The primary aim of this study is to train deep neural networks to recognize and interpret freehand architectural perspective drawings effectively and precisely. In this context, pre-trained models such as GoogLeNet, ResNet-50, AlexNet, ResNet-101, Places365-GoogLeNet, and DarkNet-53 were fine-tuned. The findings indicate that the ResNet-101 architecture has significant levels of validation accuracy, yet the validation accuracy of the Places365-GoogLeNet and AlexNet pretrained models is comparatively lower.
keywords	Machine Learning, Transfer Learning, Drawing Recognition, Deep Neural Nets, Image Classification
series	SIGraDi
email
last changed	2024/03/08 14:06

_id	sigradi2021_146
id	sigradi2021_146
authors	Yönder, Veli Mustafa, Dogan, Fehmi and Çavka, Hasan Burak
year	2021
title	Deciphering and Forecasting Characteristics of Bodrum Houses Using Artificial Intelligence (AI) Approaches
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. 241–252
summary	Computer vision (CV), artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications, which are among the rapidly emerging and growing technologies, have the potential to be effectively used in the fields of architecture and construction. These applications are used not only in the field of architectural design development and construction site tracking but also to analyze and predict the architectural properties of existing buildings and heritage classification. This paper aims to classify and analyze the façades of Bodrum houses by using deep learning models, comprehensive relational database (RDB), and artificial neural network based clustering methods. Through the use of the above-mentioned methods, we managed to cluster Bodrum houses' façade attributes in five groups and testing image classification models in three different classifiers.
keywords	Image processing, Deep learning (DL), Classification, Hierarchical cluster analysis, Artificial neural networks (ANNs)
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	ddss2008-14
id	ddss2008-14
authors	Zekri, Elyes; Gérard Hégron and Alain Legendre
year	2008
title	Environmental Classification of Urban PedestrianWalkways
source	H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary	This work is developed in the framework of urban design where we try to understand, to characterize then to qualify the environmental quality of urban open spaces along pedestrian walkways. So, we propose an analysis and a classification method applied to pedestrian walkways, taking into account their environmental characteristics. Analysis method is based on Discrete Wavelet Transform (DWT) in which we exploit the detailed version of the signal representing the evolution of a physical factor of environment along the walkway. This method leads to a segmentation of the signal. Then, a classification technique called Agglomerative Hierarchical Clustering (AHC) is performed to identify classes of walkways in terms of environmental features.
keywords	Pedestrian walkways, physical factors of environment, wavelet, classification
series	DDSS
last changed	2008/09/01 17:06

_id	caadria2020_173
id	caadria2020_173
authors	Zhou, JueLun and Tong, ZiYu
year	2020
title	Spatial Characteristics Analysis of Urban Form at the Macroscale Based on Landscape Pattern Indices
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 823-832
doi	https://doi.org/10.52842/conf.caadria.2020.1.823
summary	Spatial characteristics are significant for urban form studies. Because quantifying the urban form at the macroscale is difficult, most of the relevant studies neglect or simplify the diversity of urban built areas. Local climate zone (LCZ) classification systems can transform macro urban form into a theme map composed of different LCZ classes, and such LCZ maps represent an effective urban form mapping technique, especially for built areas. However, this method still fails to provide a quantitative representation of the spatial characteristics. In this paper, the LCZ map is treated as a matrix composed of different patches and landscape pattern indices are applied to quantify the urban form. Taking 8 Chinese cities as case studies, the results show that 4 landscape scale indices and 4 class scale indices can effectively quantify the spatial characteristics of the urban form, including the area, shape, aggregation, and diversity. The quantitative spatial characteristics can provide a reference for urban design and management.
keywords	landscape pattern indices; Local Climate Zones (LCZ); urban form
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ascaad2014_033
id	ascaad2014_033
authors	Al-Mousa , Sukainah Adnan
year	2014
title	Temporary Architecture: An urban mirage
source	Digital Crafting [7th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2014 / ISBN 978-603-90142-5-6], Jeddah (Kingdom of Saudi Arabia), 31 March - 3 April 2014, pp. 405-413
summary	One of the emerging multidisciplinary contemporary art practices is interactive installation art, which is concerned with constructing a temporary artistic environment that is digital, responsive and engaging. It is usually displayed within existing architectural context whether indoor in a gallery space or outdoor in a public space. Recent examples of such art projects show that interactivity and illusion are effectively present and highly influential in the perception and memory of the place. A digital display on a building façade can remain attached to the history of the site in the spectator’s memory even after the display is removed. An interactive space that involves body response and emotional sensory interaction can determine the narrative perceived from the experience. These trends seemingly bring together the physical context and the digital space to contain the spectator. The two mediums are merged to provide a new genre of space, hence a new mode of perception where the art space mediates people’s movement and overlay the context with new meanings. Multiple backgrounds are involved in the creative process of interactive installation art, all of which involve examining various concepts through artistic engagement with temporary spaces. Here, particularly because of interactivity and immerseveness, the spectator becomes part of the performance (the subject); with his moving and reacting he activates the narrative and probably gives it its shape. This paper aims to explore the potentials of the digital spatial display to enhance or weaken our sense of belonging to the surrounding environments while creating an illusionary space within the real physical one. It also aims to discuss how this influence would affect the memory of the mixed experience; the installation being digital, temporary and illusive and the space being physical, permanent and real. What happens to the “spectator” when contained by the digital-interactive and the physical medium(s)?. In order to unfold the mentioned questions, the study uses theories of perception and performance reflected on live case studies of recent art projects where the researcher becomes a member of the audience and an observer at the same time in order to trace the journey inside this new medium. In an era where time is being more difficult to grasp and identities of visual culture is becoming more difficult to define, temporary responsive environments can provide some openings where space becomes durational, yet, influential, and where people’s movements become more meaningful in the visual terrain.
series	ASCAAD
email
last changed	2016/02/15 13:09

_id	cf2011_p109
id	cf2011_p109
authors	Abdelmohsen, Sherif; Lee Jinkook, Eastman Chuck
year	2011
title	Automated Cost Analysis of Concept Design BIM Models
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 403-418.
summary	AUTOMATED COST ANALYSIS OF CONCEPT DESIGN BIM MODELS Interoperability: BIM models and cost models This paper introduces the automated cost analysis developed for the General Services Administration (GSA) and the analysis results of a case study involving a concept design courthouse BIM model. The purpose of this study is to investigate interoperability issues related to integrating design and analysis tools; specifically BIM models and cost models. Previous efforts to generate cost estimates from BIM models have focused on developing two necessary but disjoint processes: 1) extracting accurate quantity take off data from BIM models, and 2) manipulating cost analysis results to provide informative feedback. Some recent efforts involve developing detailed definitions, enhanced IFC-based formats and in-house standards for assemblies that encompass building models (e.g. US Corps of Engineers). Some commercial applications enhance the level of detail associated to BIM objects with assembly descriptions to produce lightweight BIM models that can be used by different applications for various purposes (e.g. Autodesk for design review, Navisworks for scheduling, Innovaya for visual estimating, etc.). This study suggests the integration of design and analysis tools by means of managing all building data in one shared repository accessible to multiple domains in the AEC industry (Eastman, 1999; Eastman et al., 2008; authors, 2010). Our approach aims at providing an integrated platform that incorporates a quantity take off extraction method from IFC models, a cost analysis model, and a comprehensive cost reporting scheme, using the Solibri Model Checker (SMC) development environment. Approach As part of the effort to improve the performance of federal buildings, GSA evaluates concept design alternatives based on their compliance with specific requirements, including cost analysis. Two basic challenges emerge in the process of automating cost analysis for BIM models: 1) At this early concept design stage, only minimal information is available to produce a reliable analysis, such as space names and areas, and building gross area, 2) design alternatives share a lot of programmatic requirements such as location, functional spaces and other data. It is thus crucial to integrate other factors that contribute to substantial cost differences such as perimeter, and exterior wall and roof areas. These are extracted from BIM models using IFC data and input through XML into the Parametric Cost Engineering System (PACES, 2010) software to generate cost analysis reports. PACES uses this limited dataset at a conceptual stage and RSMeans (2010) data to infer cost assemblies at different levels of detail. Functionalities Cost model import module The cost model import module has three main functionalities: generating the input dataset necessary for the cost model, performing a semantic mapping between building type specific names and name aggregation structures in PACES known as functional space areas (FSAs), and managing cost data external to the BIM model, such as location and construction duration. The module computes building data such as footprint, gross area, perimeter, external wall and roof area and building space areas. This data is generated through SMC in the form of an XML file and imported into PACES. Reporting module The reporting module uses the cost report generated by PACES to develop a comprehensive report in the form of an excel spreadsheet. This report consists of a systems-elemental estimate that shows the main systems of the building in terms of UniFormat categories, escalation, markups, overhead and conditions, a UniFormat Level III report, and a cost breakdown that provides a summary of material, equipment, labor and total costs. Building parameters are integrated in the report to provide insight on the variations among design alternatives.
keywords	building information modeling, interoperability, cost analysis, IFC
series	CAAD Futures
email
last changed	2012/02/11 19:21

_id	ecaade2010_130
id	ecaade2010_130
authors	Sdegno, Alberto
year	2010
title	Digital Simulation of the City for Three Millions Inhabitants by Le Corbusier: Geometrical analysis, electronic reconstruction and video animation
source	FUTURE CITIES [28th eCAADe Conference Proceedings / ISBN 978-0-9541183-9-6] ETH Zurich (Switzerland) 15-18 September 2010, pp.549-556
doi	https://doi.org/10.52842/conf.ecaade.2010.549
wos	WOS:000340629400059
summary	The research that is presented describes the geometrical analysis and the digital reconstruction of one of the most important designs by Le Corbusier: the City of Three Millions Inhabitants; it represents one of the most impressive solutions of the idea of Future City done during the XX Century, and a lot of its architectural elements are now part of contemporary buildings. The aim of the research was to understand the main morphological aspects of it and compare the different solutions made by the author during his life, starting from the first public presentation in occasion of the Salon d’Automne in Paris (1922) and to reconstruct the 3D digital realistic-textured model of it, in order to realize the video that describes the whole project of the city; the research was done at the Faculty of Architecture of the IUAV University of Venice.
keywords	Le Corbusier; Urban design; Digital reconstruction; Simulation; Video
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ascaad2010_231
id	ascaad2010_231
authors	Turrin, M.; R. Stouffs and S. Sariyildiz
year	2010
title	Parametric Design of the Vela Roof
source	CAAD - Cities - Sustainability [5th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2010 / ISBN 978-1-907349-02-7], Fez (Morocco), 19-21 October 2010, pp. 231-240
summary	Due to the increased request for representative structures and for spaces to be used independent of the weather conditions, contemporary cities increasingly integrate public covered spaces (shadowed squares and streets, courtyards, historic commercial galleries, etc.) in the urban fibre. Facing the design of large roof structures for semi outdoor spaces is increasingly common for architects and engineers. When focusing on large roofs, aesthetics, structural performance and economics often dominate the design process. However, the current increased emphasis on energy-related aspects generates new challenges. Particularly, the use of renewable energy resources needs to be confronted. In this paper we will address the subject through a case study whose design aimed at integrating performance evaluations in the very early stages of the process. The case study focuses on the so-called “Vela roof”. This roof is part of a larger project currently under construction in Bologna (Italy). The focus of the study concerns the use of on-site renewable climate (energy) resources with special attention given passive reduction of summer overheating and daylight. For these tasks a parametric model was developed to support the decision making process and the paper will present its potential with respect to performance-oriented design during the conceptual design phase of roof structure. The very first conceptual design developed by the architectural office was assumed as a starting point for the inclusion of performance criteria. In the preliminary design of the roof uncomfortable conditions were expected under the whole roof in the summer. Various strategies for improving the thermal comfort were investigated, involving a large set of combined systems. Not all of these will be detailed in this paper. Instead we will focus on the ones directly affected by the geometry of the roof. Those are mainly air flow for cooling and the reduction of solar gain, in combination with their effects on daylight. Their investigation was based on a chain of dependencies to be integrated in the design process. With respect to that, parametric modelling was used. Parametric modelling allows both geometrical entities and their relationships to be represented. These relationships are structured in a hierarchical chain of dependencies, established during the preliminary parameterization process. The independent properties of the model are usually expressed through independent parameters, and their variations generate different configurations of the model. By making use of this potential, three project scales were parametrically explored. At the large scale, parametric variations of the overall shape of the roof were investigated in relation to cooling through ventilation and here the parametric model allowed for the generation of both different configurations of the roof, including its structural morphology and variations of its structural tessellation. At the medium scale, the integration of openable modules was investigated in relation to air extraction for cooling; with respect to this, the parametric model allows exploring openings based on variations of size and distribution. At the small scale, various options were explored for the cladding system, in order to reduce the direct solar gain while still allowing the income of indirect natural light. The parametric model was used to investigate the configuration of self-shading modules and their integration in the structure. Specific emphasis will be given to the small scale. The advantages in design process and the current limits of the parametric modelling approach used here will be discussed in the paper.
series	ASCAAD
email
last changed	2011/03/01 07:36

_id	ga9925
id	ga9925
authors	Ambrosini, L., Longatti, M. and Miyajima, H.
year	1999
title	Time sections, abstract machines
source	International Conference on Generative Art
summary	conditions a time-spatial discontinuity in the urban grid, ancient walls casually discovered in a substrate of the contemporary town needs a surplus of information to be understood and interfaced with their current condition. diagrams diverse chronological stages of the urban evolution are mapped on the area, in order to read the historical stratifications as a multiplicity of signs; this abstract approach leads to consider the roman space as guided by metrics, a system of measure superimposed on the landscape, vs. medioeval spatial continuity, where more fluid relations between the same urban elements create a completely different pattern.assemblage (time sections) a surface, automatically displaced from the medioeval diagram, moves along the z axis, the historical stratification direction, intersecting in various, unpredictable, manners a series of paths; these paths start as parallels, allowing an undifferentiated access to the area, and mutate along their developing direction, intertweening and blending each other; linear openings are cut on the surface, virtually connecting the two levels by light, following the roman grid in rhythm and measure. Projected on the lateral wall, the cadence of the vertical and horizontal elements becomes a temporal diagram of the design process.movement time takes part into the process through two kinds of movement: the first one, freezed when reaches the best results, in terms of complexity, is given by the surface intersecting the tubular paths; the second one is represented by multiple routes walking on which the project can be experienced (in absence of any objective, fixed, point of view, movement becomes the only way to understand relations). Thresholds between typical architectural categories (such as inside-outside, object-landscape etc.) are blurred in favour of a more supple condition, another kind of continuity (re)appears, as a new media, between the different historical layers of the city.
series	other
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

_id	ecaade2012_314
id	ecaade2012_314
authors	Bourdakis, Vassilis; Pentazou, Ioulia
year	2012
title	Real City Museum/Virtual City Model: Real Datasets/Virtual Interactions
source	Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 2 / ISBN 978-9-4912070-3-7, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 337-341
doi	https://doi.org/10.52842/conf.ecaade.2012.2.337
wos	WOS:000330320600034
summary	Creating virtual city models at different scales, emphases and overall orientations is a topic that has attracted great interest in architectural and urban planning context over at least the last two decades. However the complexity of the city as a historical formation demands new methods of representation embracing interactive technologies. The work discussed in this paper is part of a large multidisciplinary project for the development of the Volos city museum. Enhancing the interaction between the public and the museum exhibits is essential. The paper focuses on the definition, complexity and orientation of the data structures and the integration of 3D contemporary and historic data that is the backbone for the digital representations and the interactive applications developed for the museum.
keywords	Database design; XML; Dublin Core metadata; history; 3D modelling; geo-referencing
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ddss9813
id	ddss9813
authors	Cordan, Ozge and Besgen, Asu
year	1998
title	No Times But Principles, A Case Study From Priene, Anatolia
source	Timmermans, Harry (Ed.), Fourth Design and Decision Support Systems in Architecture and Urban Planning Maastricht, the Netherlands), ISBN 90-6814-081-7, July 26-29, 1998
summary	To emphasise the reusing of the local identities and cultural effects on contemporary designs, this paper is believed to have an important role for architects and for further designs. In this paper design theories in 1000's BC from Priene is held. The theories in urban and architectural design took place. From the intersection point of Ancient Greek and Western Anatolia, a city named "Priene" is chosen as a point of view because of its speciallocation on the Aegean Sea Coasts; Asia Minor and its design principles on urban and housing scale which were used during 1000's and are still common. Also, in this paper, an analysis is done on urban and housing scale. The analysis has two main parts. In the first part, the important buildings in Priene and their settlement decisions take part. And in the second part, the houses of Priene are explained. The general outputs of the study can be put under two titles: urbanism and architecture. In terms of urbanism, those features of a city image reflecting onto today’s world have been examined and the city of Priene has been analysed in the content of Lynch’s elements ensuring formation of a city image. In terms of architecture, results obtained have been separately examined in the content of today’s architecture as public buildings reflecting unique characteristics of Hellenistic architecture and as settlements. In short, the result that it is wished to reach in terms of city scale of the city of Priene in this study isthe expression of the essence of the historical heritage using a modern language to ensure historical continuity.
series	DDSS
last changed	2003/08/07 16:36

_id	caadria2018_052
id	caadria2018_052
authors	Fung, Enrica and Crolla, Kristof
year	2018
title	Choreographed Architecture - Body-Spatial Exploration
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 101-110
doi	https://doi.org/10.52842/conf.caadria.2018.1.101
summary	This paper presents a design-methodological case study that looks into the practical expansion of conventional conceptual architectural design media by incorporating contemporary technology of motion capture. It discusses challenges of integrating dance movement as a real-time input parameter for architectural design that aims at translating body motion into space. The paper consists of four parts, beginning with a historic background overview of scientists, physiologists, artists, choreographers, and architects who have attempted capturing body motion and turning the motion into space. The second part of the paper discusses the iterative development of the 'Dance Machine' as a methodological tool for the integration of motion capture into conceptual architectural design. Thirdly, the paper discusses tested design applications of the 'Dance Machine' by looking at two sited applications. Finally, the overall methodology is critically assessed and discussed in the light of continuous development of creative applications of motion capturing technology. The paper concludes by highlighting the architectural potential found in specific qualities of dance and by advocating for a broader palette of tools, techniques, and input methods for the conceptual design of architecture.
keywords	Choreographed architecture; Motion capture; Conceptual design media; Space design; Human body
series	CAADRIA
email
last changed	2022/06/07 07:50

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