Report : school survey to collect data on material performance


Autoria(s): CRC for Construction Innovation
Contribuinte(s)

CRC Construction Innovation

Data(s)

01/06/2007

Resumo

A survey of a number of schools in a number of different climates was carried out to determine the condition of building components of interest in the project. Schools in Melbourne, the Victorian Surf Coast, Brisbane, Townsville and the Sunshine Coast were inspected. A rating system was devised to categorise the components and the results collated in tables. Analysis of the data (where sufficient examples permitted) resulted in formulae to predict the service of the components and a database was derived.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/27062/

Publicador

CRC for Construction Innovation

Relação

http://eprints.qut.edu.au/27062/1/27062.pdf

CRC Construction Innovation (2007) Report : school survey to collect data on material performance. CRC for Construction Innovation, Brisbane.

Direitos

Copyright 2007 Icon.Net Pty Ltd

The Participants of the CRC for Construction Innovation have delegated authority to the CEO of the CRC to give Participants permission to publish material created by the CRC for Construction Innovation. This delegation is contained in Clause 30 of the Agreement for the Establishment and Operation of the Cooperative Research Centre for Construction Innovation. The CEO of the CRC for Construction Innovation gives permission to the Queensland University of Technology to publish the papers/publications provided in the collection in QUT ePrints provided that the publications are published in full. Icon.Net Pty Ltd retains copyright to the publications. Any other usage is prohibited without the express permission of the CEO of the CRC. The CRC warrants that Icon.Net Pty Ltd holds copyright to all papers/reports/publications produced by the CRC for Construction Innovation.

Fonte

CRC Construction Innovation

Palavras-Chave #CRC for Construction Innovation #Program B : Sustainable Built Assets #Project 2005-2003-B : Learning System for Life Prediction of Infrastructure
Tipo

Report