Sensing material systems - Novel design strategies

Bohnenberger, S, Khoo, C, Davis, D, Thomsen, M, Karmon, A and Burry, M 2012, 'Sensing material systems - Novel design strategies', International Journal of Architectural Computing, vol. 10, no. 3, pp. 361-376.

Document type: Journal Article
Collection: Journal Articles

Title Sensing material systems - Novel design strategies
Author(s) Bohnenberger, S
Khoo, C
Davis, D
Thomsen, M
Karmon, A
Burry, M
Year 2012
Journal name International Journal of Architectural Computing
Volume number 10
Issue number 3
Start page 361
End page 376
Total pages 16
Publisher Multi-Science Publishing Co. Ltd.
Abstract The development of new building materials has decisively influenced the progression of architecture through the link between built form and available material systems. The new generation of engineered materials are no exception. However, to fully utilise these materials in the design process, there is a need for designers to understand how these new materials perform. In this paper we propose a method for sensing and representing the response of materials to external stimuli, at the early design stage, to help the designer establish a material awareness. We present a novel approach for embedding capacitive sensors into material models in order to improve material performance of designs. The method was applied and tested during two workshops, both discussed in this paper. The outcome is a method for anticipating engineered material behaviour.
Subject Civil Engineering not elsewhere classified
Architecture not elsewhere classified
Keyword(s) Design process
Early design stages
Engineered materials
External stimulus
Material models
Material performance
Material systems
Novel design
Sensing material
DOI - identifier 10.1260/1478-0771.10.3.361
Copyright notice © 2012 Elsevier B.V., All rights reserved.
ISSN 1478-0771
Version Filter Type
Citation counts: Scopus Citation Count Cited 2 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 61 Abstract Views  -  Detailed Statistics
Created: Thu, 15 Jan 2015, 13:42:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us