It takes the average reader and 24 minutes to read Deterioration of Asphaltic Concrete Surfaces Containing Steel Slag by Afrani, I
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This report describes an application of the C-SHRP Bayesian statistical analysis methodology for the developement of a pavement deterioration model for asphaltic concrete surfaces containing steel slag aggregates. The asphaltic concrete mixes containing steel slag have been used in Ontario on major highways since the late 70's. In 1992, their use was discontinued because of premature pavement deterioration. The purpose of the model was to facilitate timely scheduling of effective rehabilitation treatments for projects containing steel slage mixes. The Bayesian model combines information derived from field observations of 79 existing projects with information elicited from experts. The resulting model predicts the pavement deterioration in terms of a Distress Index which is a function of age, asphalt content of the mix, and traffic volume. The results indicate that the C-SHRP Bayesian statistical analysis approach is useful in that (a) it provides an independent review and endorsement of prediction models by experts, (b) it can increase the application scope, reliability and predictive power of the models, and (c) it facilitates quantification of the influence and contribution of field data and expert judgment in the modelling process. For the covering abstract of this conference see IRRD number 872551.
Deterioration of Asphaltic Concrete Surfaces Containing Steel Slag by Afrani, I is 24 pages long, and a total of 6,096 words.
This makes it 8% the length of the average book. It also has 7% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 33 minutes to read Deterioration of Asphaltic Concrete Surfaces Containing Steel Slag aloud.
Deterioration of Asphaltic Concrete Surfaces Containing Steel Slag is suitable for students ages 8 and up.
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