CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id caadria2021_354
id caadria2021_354
authors Huang, Chenyu, Gong, Pixin, Ding, Rui, Qu, Shuyu and Yang, Xin
year 2021
title Comprehensive analysis of the vitality of urban central activities zone based on multi-source data - Case studies of Lujiazui and other sub-districts in Shanghai CAZ
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 549-558
doi https://doi.org/10.52842/conf.caadria.2021.2.549
summary With the use of the concept Central Activities Zone in the Shanghai City Master Plan (2017-2035) to replace the traditional concept of Central Business District, core areas such as Shanghai Lujiazui will be given more connotations in the future construction and development. In the context of todays continuous urbanization and high-speed capital flow, how to identify the development status and vitality characteristics is a prerequisite for creating a high-quality Central Activities Zone. Taking Shanghai Lujiazui sub-district etc. as an example, the vitality value of weekday and weekend as well as 19 indexes including density of functional facilities and building morphology is quantified by obtaining multi-source big data. Meanwhile, the correlation between various indexes and the vitality characteristics of the Central Activities Zone are tried to summarize in this paper. Finally, a neural network regression model is built to bridge the design scheme and vitality values to realize the prediction of the vitality of the Central Activities Zone. The data analysis method proposed in this paper is versatile and efficient, and can be well integrated into the urban big data platform and the City Information Modeling, and provides reliable reference suggestions for the real-time evaluation of future urban construction.
keywords multi-source big data; Central Activities Zone; Vitality; Lujiazui
series CAADRIA
email
last changed 2022/06/07 07:50

_id ecaade2017_087
id ecaade2017_087
authors Marijnissen, Marjolein P.A.M. and van der Zee, Aant
year 2017
title 3D Concrete Printing in Architecture - A research on the potential benefits of 3D Concrete Printing in Architecture
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 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 299-308
doi https://doi.org/10.52842/conf.ecaade.2017.2.299
summary This research explores the use of large-scale 3D Printing techniques in architecture and structural design. First we will analyse the various methods in large-scale 3D printing in order to choose the method with the most potential to be used to build large-scale residential buildings in the Netherlands. Then we will investigate the properties of this 3D printing technique to determine the new building process, related to building with a 3D Concrete Printer. The freedom in movement of the printer and the properties of the concrete mixture used to print will form the guidelines in the creation of a design language in which both material costs and labour costs are reduced to a minimum. The design language is later applied on the design of a house, which shows the impact 3D Concrete Printing should have on the current boundaries in architecture and structural design.
keywords Additive Manufacturing; 3D Concrete Printing; Structural Optimization; Personalization
series eCAADe
email
last changed 2022/06/07 07:59

_id acadia17_474
id acadia17_474
authors Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko
year 2017
title Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 474- 481
doi https://doi.org/10.52842/conf.acadia.2017.474
summary Simple and common architectural elements can be combined to create complex spaces. Different spatial compositions of elements define different spatial boundaries, and each produces a unique local spatial experience to observers inside the space. Therefore an architectural style brings about a distinct spatial experience. While multiple representation methods are practiced in the field of architecture, there lacks a compelling way to capture and identify spatial experiences. Describing an observer’s spatial experiences quantitatively and efficiently is a challenge. In this paper, we propose a method that employs 3D isovist methods and a convolutional neural network (CNN) to achieve recognition of local spatial compositions. The case studies conducted validate that this methodology works well in capturing and identifying local spatial conditions, illustrates the pattern and frequency of their appearance in designs, and indicates peculiar spatial experiences embedded in an architectural style. The case study used small designs by Mies van der Rohe and Aldo van Eyck. The contribution of this paper is threefold. First, it introduces a sampling method based on 3D Isovist that generates a 2D image that can be used to represent a 3D space from a specific observation point. Second, it employs a CNN model to extract features from the sampled images, then classifies their corresponding space. Third, it demonstrates a few case studies where this space classification method is applied to different architectural styles.
keywords design methods; information processing; AI; machine learning; computer vision; representation
series ACADIA
email
last changed 2022/06/07 08:00

_id sigradi2017_087
id sigradi2017_087
authors Luna de Melo Jorge, Leonardo; Rafael Mourão Fiuza, Daniel Cardoso
year 2017
title Moderno Paramétrico: Para Além da Fenomenologia na Arquitetura [Parametric Modern: Beyond Phenomenology in Architecture]
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.605-610
summary Analysis of Mies Van Der Rohe works seeking recurrences and the elements of his formal language aiming to develop a shape grammar. Elaboration of spreadsheet and explanatory images with the parameters and rules that govern these elements and initial sketch of the algorithm in Rhino + Grasshpper.
keywords Mies Van Der Rohe; Shape Grammar;
series SIGRADI
email
last changed 2021/03/28 19:58

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