Prediction of Coarse Aggregate Performance by Micro-Deval and Other Soundness, Strength, and Intrinsic Particle Property Tests
| العنوان: | Prediction of Coarse Aggregate Performance by Micro-Deval and Other Soundness, Strength, and Intrinsic Particle Property Tests |
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| المؤلفون: | John J. Allen, David W. Fowler, Alexander P. Lang, Peter H. Range |
| المصدر: | Transportation Research Record: Journal of the Transportation Research Board. 2026:3-8 |
| بيانات النشر: | SAGE Publications, 2007. |
| سنة النشر: | 2007 |
| مصطلحات موضوعية: | Soundness, Cement, Engineering, Aggregate (composite), business.industry, Mechanical Engineering, Strength of materials, law.invention, Abrasion (geology), Portland cement, Asphalt, law, Geotechnical engineering, business, Civil and Structural Engineering, Specific gravity |
| الوصف: | Aggregate samples were collected from the majority of the U.S. states, as well as several Canadian provinces, and subjected to micro-Deval, Los Angeles abrasion, magnesium sulfate soundness, Canadian freeze-thaw, aggregate crushing value, absorption, specific gravity, and particle shape characterization testing to determine whether a correlation exists between laboratory aggregate tests and observed aggregate field performance. Performance ratings were assigned to each aggregate on the basis of the type of distress observed and years of service in the field in hot-mix asphalt and portland cement concrete applications. Numerical and qualitative analyses were performed to evaluate the success of separating good performers from fair and poor performers, with the micro-Deval test alone as well as the micro-Deval test combined with other tests. Furthermore, attempts were made to determine whether a correlation exists between any two tests. The tests that most consistently correlated well with field performance, either alone or in combination with other tests, were micro-Deval, Canadian freeze-thaw, absorption, and specific gravity. Several correlations indicated specific loss limits, which appeared to correctly isolate good performers from the rest. The limits found from correlation of test results and field performance are believed to be effective in identifying good performing aggregates; how-ever, care should be taken in using the limits to exclude aggregates without further consideration because good performers with higher losses were identified. Each agency should develop criteria, including a performance history versus micro-Deval loss, for each aggregate to develop a database that provides accurate performance forecasting. |
| تدمد: | 2169-4052 0361-1981 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::fa9e01dcd20f160b171ae7a7447f0b3a https://doi.org/10.3141/2026-01 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........fa9e01dcd20f160b171ae7a7447f0b3a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21694052 03611981 |
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