Prediction of Concrete Durability from Thermal Tests of Aggregate
Author : E. C. Higginson
Publisher :
Page : 9 pages
File Size : 21,91 MB
Release : 1953
Category :
ISBN :
Author : E. C. Higginson
Publisher :
Page : 9 pages
File Size : 21,91 MB
Release : 1953
Category :
ISBN :
Author : J. Glanville
Publisher : CRC Press
Page : 204 pages
File Size : 28,26 MB
Release : 1997-06-12
Category : Architecture
ISBN : 1482294915
Poor durability of concrete is a continuing concern to owners of structures and their professional advisors. Advances in methods of assessing and predicting durability are being made in many areas, and this book provides a state of art review of the current situation. Contributions from leading researchers and consultants make it a valuable guide f
Author : Lawrence J. Kaetzel
Publisher :
Page : 274 pages
File Size : 47,52 MB
Release : 1991
Category : Expert systems (Computer science)
ISBN :
Author : National Research Council (U.S.). Highway Research Board
Publisher :
Page : 428 pages
File Size : 34,96 MB
Release : 1964
Category : Highway engineering
ISBN :
Author : Mohamed Nagib Abou-Zeid
Publisher :
Page : 92 pages
File Size : 48,24 MB
Release : 1996
Category : Aggregates (Building materials)
ISBN :
Durability of course aggregate has a major impact on the durability of Portland cement concrete. Over the past years, there has been an increasing interest in developing and improving test techniques that provide a faster accurate durability assessment which ultimately leads to a better prediction of pavement performance. Thermogravimetric analysis (TGA) is a relatively rapid technique that has shown good potential for use in the analysis of carbonate aggregates. In this work, thermogravimetric technique was used to analyze 31 limestone and two dolomite aggregates, The specimens were heated to temperatures above 1000 C (1832 F) using two rates of temperature increase. The weight loss and the change in weight loss as a function of temperature were recorded. The data was acquired by a data acquisition system and later transferred to a microcomputer for analysis.
Author :
Publisher : ASTM International
Page : 875 pages
File Size : 11,81 MB
Release : 1978
Category :
ISBN :
Author : Paul Klieger
Publisher : ASTM International
Page : 621 pages
File Size : 30,40 MB
Release : 1994
Category : Concrete
ISBN : 0803120532
Author : National Research Council (U.S.). Highway Research Board
Publisher :
Page : 124 pages
File Size : 36,89 MB
Release : 1958
Category : Language Arts & Disciplines
ISBN :
Author : Joseph F. Lamond
Publisher : ASTM International
Page : 661 pages
File Size : 12,37 MB
Release : 2006
Category : Technology & Engineering
ISBN : 0803133677
Author : L.W. Masters
Publisher : Springer Science & Business Media
Page : 289 pages
File Size : 32,13 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9400951256
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.