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Problems in Service Life Prediction of Building and Construction Materials

Download or Read eBook Problems in Service Life Prediction of Building and Construction Materials PDF written by L.W. Masters and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 289 pages. Available in PDF, EPUB and Kindle.
Problems in Service Life Prediction of Building and Construction Materials
Author :
Publisher : Springer Science & Business Media
Total Pages : 289
Release :
ISBN-10 : 9789400951259
ISBN-13 : 9400951256
Rating : 4/5 (59 Downloads)

Book Synopsis Problems in Service Life Prediction of Building and Construction Materials by : L.W. Masters

Book excerpt: Degradation, the chemical/physical response of building and con struction materials exposed to in-service environments, must be predicted prior to their installation in structures if materials are to be effectively selected, used and maintained. These assessments of materials degradation require that methods be available to aid prediction of service life. The objectives of building materials science are a) to charac terize and categorize materials, b) to predict, preferably in a mathematical sense, material or component response including expected service life, and c) to make improvements in material response through improvements in design, formulation, processing or specification. For building and construction materials, continued progress has been made towards objective (a), but little progress has been made towards objectives (b) and (c). Of these, the mathematical prediction of service life appears to be of greater importance, because, if general approaches or models having application to a wide range of building and construction materials can be identi fied, then the categorization, selection, use and improvement of materials can proceed in a systematic manner. Researchers in advanced technologies, such as aerospace, nuclear, electronics and medicine, have apparently been more successful than researchers in building and construction technology in responding to the need for reliable predictions of service life.


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