Abstract

Rational selection of building materials for their optimal performance and minimal environmental impact is complex, as materials are multi-functional. Beyond the primary function for which a material or product has been identified, such as insulation, the contribution to additional aspects of building performance may be conservatively overlooked. For example, important properties, such as latent and hygrothermal performance, are rarely considered when selecting insulation materials. Consequently, if materials are to be used optimally, there is a need for reliable and robust ranking methods based on a multi-criteria analysis. This will help to facilitate the most optimal selection of materials for building performance, environmental impact and occupant well-being. This paper describes four statistical methods of comparing and ranking different building materials. A critical appraisal of these methods is presented following implementation with a reference material data set. Finally, recommendations for future development and adoption of material selection tools are outlined.

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