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 caadria2017_080
id caadria2017_080
authors Suzuki, Seiichi and Knippers, Jan
year 2017
title Topology-driven Form-finding - Implementation of an Evolving Network Model for Extending Design Spaces in Dynamic Relaxation
doi https://doi.org/10.52842/conf.caadria.2017.489
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. 489-498
summary This paper introduces a novel computational design methodology called topology-driven for the numerical form-finding of discrete networks and presents the essential building block for storing and processing information. Numerical form-finding focuses on computing the optimum geometric configuration of lightweight structures in which shape is the result of reciprocal dependencies between forces, material behaviors and structural performances. Among the design community, Dynamic Relaxation (DR) has gained in popularity given its capacity to support more flexible and interactive design spaces in form-finding. However, common implementations of networks models only focus on the interactive exploration of material and geometrical properties without further specification for topological dynamization. For facing this problematic, we propose an object-oriented approach to attach specific functionalities to particular pieces of data within the numerical schema. Here, we describe the implementation of a rule-based system for managing objects´ interactions in order to continuously track topological and geometrical changes. Based on this concept, larger design spaces can be developed for the interactive exploration of structural shapes.
keywords Topology-driven; Form-Finding; Dynamic Relaxation; Object Structures; Design Spaces
series CAADRIA
email
last changed 2022/06/07 07:56

_id ecaade2017_003
id ecaade2017_003
authors Yu, Kuai, Haeusler, M. Hank and Fabbri, Alessandra
year 2017
title Parametric master planning via topological analysis using GIS data
doi https://doi.org/10.52842/conf.ecaade.2017.1.429
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. 429-438
summary This paper discusses parametricism in regards to urban planning and infrastructure. The objective is to bridge GIS data (using FLUX) and the parametric design process together into urban master planning. Creating a tool which generates the infrastructure and grid system automatically using specified manual user inputs, allowing for further generation of 3D forms from the block patterns. It also critically analyses the traditional master planning approach of grid system division in regards to topography, and how classical urban designers did not consider topographical constraints when a square grid system was employed to structure a city. The analysis of existing parametric master plans will also show that data driven planning has not put topography as a significant hierarchical. Through case studies using the developed tool, a clearer understanding of how topography can shape infrastructure can be understood. The analysis of topography is the main driving data iteration point which generates the infrastructure, grid, and division systems.
keywords Master Plan; Parametricism; Urban Design; GIS Data; Topography Optimisation; FLUX
series eCAADe
email
last changed 2022/06/07 07:57

_id ascaad2021_065
id ascaad2021_065
authors Fraschini, Matteo; Julian Raxworthy
year 2021
title Territories Made by Measure: The Parametric as a Way of Teaching Urban Design Theory
source Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 494-506
summary Design tools like Grasshopper are often used to either generate novel forms, to automate certain design processes or to incorporate scientific factors. However, any Grasshopper definition has certain assumptions about design and space built into it from its earliest genesis, when the initial algorithm is set out. Correspondingly, implicit theoretical positions are built into definitions, and therefore its results. Approaching parametric design as a question of architectural, landscape architectural or urban design theory allows the breaking down of traditional boundaries between the technical and the historical or theoretical, and the way parametric design, and urban design history & theory, can be conveyed in the teaching environment. Once the boundaries between software and history & theory are transgressed, Grasshopper can be a way of testing the principles embedded in historical designs and thus these two disciplines can be joined. In urban design, there is an inherent clash between an ideal model and existing urban geography or morphology, and also between formal (qualitative) and numerical (quantitative) aspects. If a model provides a necessary vision for future development, an existing topography then results from the continuous human and natural modifications of a territory. To explore this hypothesis, the “Urban Design Representation” subject in the Master of Urban Design program at the University of Cape Town taught in 2017 & 2018 was approached “parametrically” from these two opposite, albeit convergent, starting points: the conceptual/rational versus the physical/empiric representations of a territory. In this framework, Grasshopper was used to represent typical standards and parameters of modern urban planning (for example, Floor/Area Ratio, height and distance between buildings, site coverage, etc), and a typological approach was adopted to study and “decode” the relationship between public and private space, between the street, the block and topography, between solids and voids. This methodology permits a cross-comparison of different urban design models and the immediate evaluation of their formal outputs derived from parametric data.
series ASCAAD
email
last changed 2021/08/09 13:13

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