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	cf2017_297
id	cf2017_297
authors	He, Yi; Schnabel, Marc Aurel; Chen, Rong; Wang, Ning
year	2017
title	A Comprehensive Application of BIM Modelling for Semi-underground Public Architecture: A Study for Tiantian Square Complex, Wuhan, China
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 297-308.
summary	The paper presents research on how Building Information Modelling (BIM) can be applied comprehensively throughout the design of an architectural project. A practical method based on BIM models that help to deal with multidisciplinary issues by integrating the design information from different sources, collaborators and project stages is formulated by adopting existing available tools. The ‘Tiantian Square’ building project in Wuhan, China combines a subway station with a commercial hug. According to the project’s size and complexity, our study focuses on the multiple cooperation of professionals from different backgrounds, including the departments of architectural design, structure (civil engineering), HVAC (Heating, Ventilation and Air Conditioning), water supply and drainage, and electrics and sustainable design. Our paper presents how the BIM model bridges between various simulation platforms through our technical system and management, including steps of transformation, simplification, analysis, reaction and improvement. Our research has helped to improve the overall efficiency and quality of the project. We generated a successful analysis-design approach for the initial design stages, which does not require in-depth analysis. It is a practical method to immediately evaluate the performance for each design alternative and provide guidelines for design modification. Finally, we discuss how the coordination of different department becomes a crucial factor as we look forward to a more open, communicative and inter-relational design and development process.
keywords	BIM, Subway Complex, Simulation, Semi-Underground Architecture
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	caadria2017_001
id	caadria2017_001
authors	He, Yi, Schnabel, Marc Aurel, Chen, Rong and Wang, Ning
year	2017
title	A Parametric Analysis Process for Daylight Illuminance - The Influence of Perforated Facade Panels on the Indoor Illuminance
doi	https://doi.org/10.52842/conf.caadria.2017.417
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 417-424
summary	BIM modelling systems and graph-based modelling systems have been widely used in the architecture design process recently. Based on the systems, an alternative approach to study the influence of perforated façade panels on the indoor illuminance by using a parametric performance analysis in a practical architectural project is proposed. The workflow we developed makes the modelling process faster, more accurate, and easier to modify. From the circulation of modelling-to-analysis process, the performance can be compared, feedback can be generated. Accordingly, optimized design can be concluded. This study suggests an analysis method to evaluate the indoor illuminance performance in the early design stages. The simulation is not a conventional typical in-depth one, but a practical method to immediately evaluate the performance for each design alternative and provide guidelines for design modification. Moreover, the first generation of digital modeling programs allow designers to conceive new forms, and allow these forms to be controled and realized. It reacts to the conference theme by presenting a protocol for a digital workflow in the early stage of the design development.
keywords	Daylight illuminance; BIM; parametric sustainability; parametric modelling; facade panels
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ecaade2017_173
id	ecaade2017_173
authors	Buš, Peter, Hess, Tanja, Treyer, Lukas, Knecht, Katja and Lu, Hangxin
year	2017
title	On-site participation linking idea sketches and information technologies - User-driven Customised Environments
doi	https://doi.org/10.52842/conf.ecaade.2017.1.543
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 543-550
summary	The paper introduces the methodology related to the topic of citizen-driven urban design and revises the idea of on-site participation of end-users, which could prospectively lead to customisation of architectural and urban space in a full-scale. The research in the first phase addresses the engagement of information technologies used for idea sketching in participatory design workshop related to local urban issues in the city of Chur in Switzerland by means of the Skity tool, the sketching on-line platform running on all devices. Skity allows user, which can be individual citizens or a community, to sketch, build, and adapt their ideas for the improvement of an urban locality. The participant is the expert of the locality because he or she lives in this place every day. The content of this paper is focused on the participatory design research project conducted as a study at the ETH Zürich and the Hochschule für Technik und Wirtschaft HTW in Chur in collaboration with Future Cities Laboratory in Singapore, mainly concentrated on the first step of the methodological approach introduced here.
keywords	responsive cities; urban mass-customisation; idea sketching; ideation; on-site participation; citizen design science
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cf2017_702
id	cf2017_702
authors	Dortdivanlioglu, Hayri; Economou, Thanos
year	2017
title	OUTLINING TERRAGNI: Calculating the Danteum’s and Mambretti Tomb’s Form and Meaning
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 702.
summary	Despite his controversial political background, the leading architect of the Italian Rationalist Movement, Giuseppe Terragni, has attracted the attention of a large group of architectural scholars. He has often been acknowledged as an enigmatic figure whose architecture oscillated between classicism and modernism. This work offers formal generative analyses of the Mambretti Tomb and the Danteum, which are seen as the ‘quintessence’ of Terragni’s architecture. It provides a formal generation of these two projects in the form of parametric shape grammar. In doing so, this paper aims at unfolding the generative process of both projects in order to gain a deeper understanding into the ways that formal construction of Terragni’s architecture expresses meaning.
keywords	Shape grammars, Generative design, Architectural language, Type and style, Italian rationalism
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2017_082
id	sigradi2017_082
authors	Itao Palos, Karine; Gisela Belluzzo de Campos
year	2017
title	A resiliência na tipografia digital: Interações propiciadas por programas generativos [Resilience in digital typography: Interactions provided by generative programs]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.568-574
summary	This article aims to describe the ephemeral qualities that typography acquires in the digital context, caused by the polyvalence of the algorithmic code, which, from generative programming, allows the user to interact with the typographic object. These reflection are realized through the study of four projects: “Lettree” (2004), “Pyrographie” (2005), “Falling in Love” (2016) and “He liked Thick Word Soup” (2014). The observations were made by drawing a comparison between the concept of “matter” in the computational scenario proposed by the design philosopher Vilém Flusser (2015) and the quality of “fluidity” observed in the images created by digital generative programs.
keywords	Typography; Interaction; Generative Systems; Design; Resilience.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

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