طراحی محاسباتی مبتنی بر مواد (MCD) در معماری پایدار
Abstract
1- Introduction
2- Research methodology
3- Material-based computational design (MCD)
4- Results and discussion
5- Conclusion
References
Abstract
Today material is the driving force in architectural design processes run by Computational Design (CD). The architect may lead the design process and its outputs by analysing material type and properties, as well as constraints, at the beginning of the process. This article reviews the state of the art in Materialbased Computational Design (MCD) and aims to analyse the role of materials in efficient and sustainable MCD processes. A set of critical projects developed over the past decade have been selected and grouped based on how material is incorporated into the process. In the process, three main categories are identified—namely, Material Performance, Informed Materials and Programming Materials. Based on predefined criteria on efficiency (E) and sustainability (S) in architectural design processes, the projects are analysed to calculate their E+S ratings. The analysis identifies two principal approaches implemented in MCD. One focuses on integrating material properties with other critical parameters—including form, performance and fabrication. The other concerns enhancing material properties by designing new materials. The analysis verifies that MCD generates both efficient and sustainable design solutions. By using CD in architectural design processes, existing materials can be re-interpreted and innovative materials can be produced to achieve new spatial experiences and meanings.
Introduction
The increasing influence of information technologies in the field of architecture over the last decade has defined a new relationship between material and architectural design in which material has become the principal driver. Parameters, rules and relationships related to the various material types and properties can be integrated into Computational Design (CD) models. In those models, parameters are expressed with variable properties, which relate to each other by predefined rules. Problem-solving in the design process must reckon with both ill-defined and well-defined problems (Reitman, 1964; Cross, 1984, 2000; Coyne, 2005; Casakin, 2010). Here, well-defined problems define rational processes for specific goals unlike ill-defined problems, which involve uncertainty (Suwa et al. 1999). Using CD, critical parameters affecting architectural design become well-defined and can be identified at an early stage of the design process.