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

PDF papers
References

Hits 1 to 6 of 6

Reformat results as: short short into frame detailed detailed into frame

_id	ecaade2020_034
id	ecaade2020_034
authors	Hamilton, William, Butler, Andrew, Gardner, Nicole, Haeusler, M. Hank, Ramos, Cristina and Zavoleas, Yannis
year	2020
title	Keeping up with the Code - Communicating the Decision Making History of Architectural Scripts
doi	https://doi.org/10.52842/conf.ecaade.2020.1.633
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 633-642
summary	As the architecture industry engages computational methods to automate and optimise design processes, decision-making becomes embedded and hidden within complex code. Even where employees understand the procedure and logic of architectural scripts they may struggle to understand those developed by others and used on different projects. Accordingly, this paper outlines the research and development of a workflow to trace and document the decision-making history (DMH) of architectural scripts. This develops the relational database Huginn to test the feasibility of tracing decision-making history in scripting through a Python Web framework that sends data in a JavaScript Object Notation (JSON) format from Grasshopper. The research outcomes successfully demonstrate a system that can link a series of objects to their 'decision' origins. This contributes to informing the development of theoretically-grounded coding protocols and simultaneously demystifying the complexity of architectural scripting and communicating the significance of data-augmented decision making within contemporary architectural design processes.
keywords	Automation in Architecture; Design Optimisation; Architectural Scripting; Decision Making History; Database; Visual Programming
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ijac202018301
id	ijac202018301
authors	Ladron de Guevara, Manuel; Luis Ricardo Borunda, Daragh Byrne, and Ramesh Krishnamurti
year	2020
title	Multi-resolution in architecture as a design driver for additive manufacturing applications
source	International Journal of Architectural Computing vol. 18 - no. 3, 218-234
summary	Additive manufacturing is evolving toward more sophisticated territory for architects and designers, mainly through the increased use of scripting tools. Recognizing this, we present a design and fabrication pipeline comprised of a class of techniques for fabrication and methods of design through discrete computational models. These support a process responsive to varied design intents: this structured workflow expands the design and fabrication space of any input shape, without having to explicitly deal with the complexity of discrete models beforehand. We discuss a multi-resolution-based methodology that incorporates discrete computational methods, spatial additive manufacturing with both robotic and commercial three-dimensional printers, as well as, a free-oriented technique. Finally, we explore the impact of computational power on design outcome, examining in-depth the concept of resolution as a design driver.
keywords	Multi-resolution, discrete models, customized fabrication, differentiated infills, design methodology
series	journal
email
last changed	2020/11/02 13:34

_id	ecaade2020_520
id	ecaade2020_520
authors	Nguyen, Binh Vinh Duc (Alex), Vande Moere, Andrew and Achten, Henri
year	2020
title	How to Explore the Architectural Qualities of Interactive Architecture - Virtual or physical or both?
doi	https://doi.org/10.52842/conf.ecaade.2020.2.219
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 219-231
summary	While the theoretical possibilities and implications of interactive architecture are promising, much still is unknown how these can be practically translated towards purposeful deployments. To understand the true dynamic qualities of interactive architecture, the only method is experiencing its hedonic qualities firsthand. To this end, working prototypes need to be realised and their actual impact measured. In this paper, we compare two potential experimental strategies for interactive architecture prototype evaluation, as we benchmark the conceptual, technological and methodological differences between a life-size, physical prototype and an immersive virtual reality simulation. By presenting the preliminary findings of each strategy, we discuss how their unique strengths and weaknesses could complement each other in future research endeavours.
keywords	interactive architecture; physical prototyping; virtual reality prototyping; human-building interaction
series	eCAADe
email
last changed	2022/06/07 07:58

_id	caadria2020_259
id	caadria2020_259
authors	Rhee, Jinmo, Veloso, Pedro and Krishnamurti, Ramesh
year	2020
title	Integrating building footprint prediction and building massing - an experiment in Pittsburgh
doi	https://doi.org/10.52842/conf.caadria.2020.2.669
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 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 669-678
summary	We present a novel method for generating building geometry using deep learning techniques based on contextual geometry in urban context and explore its potential to support building massing. For contextual geometry, we opted to investigate the building footprint, a main interface between urban and architectural forms. For training, we collected GIS data of building footprints and geometries of parcels from Pittsburgh and created a large dataset of Diagrammatic Image Dataset (DID). We employed a modified version of a VGG neural network to model the relationship between (c) a diagrammatic image of a building parcel and context without the footprint, and (q) a quadrilateral representing the original footprint. The option for simple geometrical output enables direct integration with custom design workflows because it obviates image processing and increases training speed. After training the neural network with a curated dataset, we explore a generative workflow for building massing that integrates contextual and programmatic data. As trained model can suggest a contextual boundary for a new site, we used Massigner (Rhee and Chung 2019) to recommend massing alternatives based on the subtraction of voids inside the contextual boundary that satisfy design constraints and programmatic requirements. This new method suggests the potential that learning-based method can be an alternative of rule-based design methods to grasp the complex relationships between design elements.
keywords	Deep Learning; Prediction; Building Footprint; Massing; Generative Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2020_167
id	caadria2020_167
authors	Stouffs, Rudi and Li, Andrew
year	2020
title	Learning from Users and their Interaction with a Dual-interface Shape-grammar Implementation
doi	https://doi.org/10.52842/conf.caadria.2020.2.153
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 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 153-162
summary	We present a shape grammar implementation with two new characteristics. One is that it is visual and directly manipulable: users draw the shapes and rules in a modeling application. The other characteristic is advanced technical capabilities, such as non-visual attributes and higher-order elements like surfaces. It consists of three components running in Rhinoceros3d. We also report on workshops that introduced the implementation.
keywords	shape grammars; interaction; implementation
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2020_173
id	ecaade2020_173
authors	Wang, Yuyang, Agkathidis, Asterios and Crompton, Andrew
year	2020
title	Translating Fengshui into algorithmic design - A digital tool to examine the impact of Fengshui on Siheyuan’s layout
doi	https://doi.org/10.52842/conf.ecaade.2020.2.391
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 391-400
summary	In continuation of our previous work on the design principles of traditional Beijing Siheyuan courtyard housing and their implementation into computational algorithms, this paper investigates the impact of the Fengshui theory on its layout. In particular, we will present the development of a Grasshopper algorithm able to examine Siheyuan houses' fortune status according to their layout. We have verified the algorithm by using Siheyuan precedence from the ancient Beijing map and measuring surveys on extant buildings. Our findings highlight that most Siheyuan houses were designed to be auspicious even though other forces were working against
keywords	Siheyuan; digital heritage; algorithmic design; Fengshui; Gongcheng Zuofa Zeli
series	eCAADe
email
last changed	2022/06/07 07:58

No more hits.