原文传递 AGGREGATE POLISHING RESISTANCE PRE-EVALUATION.
题名: AGGREGATE POLISHING RESISTANCE PRE-EVALUATION.
作者: Crouch-LK; Shirley-G; Head-G; Goodwin-WA
关键词: AGGREGATES-; PRE-EVALUATION; FRICTIONAL-RESISTANCE; AVERAGE-DAILY-TRAFFIC; AGGREGATE-POLISHING; TENNESSEE-TEXTURAL-RETENTION-METHOD; AGGREGATE-SHAPE; TEXTURES-; SIMULATED-AGING; POLISH-RESISTANCE; REPEATABILITY-; VOIDS-
摘要: Current methods of pre-evaluation of aggregates for bituminous surface courses such as the British Pendulum and British Polishing Wheel and chemical or mineralogical methods are only able to identify clearly aggregates with a high probability of performing well. There is little agreement among researchers as to what engineering properties will provide adequate frictional resistance at various average daily traffic (ADT) levels. The lack of agreement has led to conservative polish-resistance specifications and subsequently higher pavement costs. The Tennessee Textural Retention Method (TTRM) uses single size aggregate (6.35 to 9.52 mm), the Los Angeles Abrasion device, and a modified version of the AASHTO TP 33 device to evaluate particle shape and texture throughout simulated aging. In this evaluation, using 25 Tennessee aggregates, the TTRM was used to characterize aggregate polish-resistance performance at various ADT levels by comparing the results obtained on other aggregates with the results from field proven performers. The TTRM ranked all Tennessee proven performing siliceous limestones and gravels in the appropriate ADT category for which they are currently approved. In addition, new promising aggregate sources were revealed. The test method had a coefficient of variation for aggregate ratings of less than 3% for a nine-sample repeatability test. In addition, the maximum coefficient of variation of voids tests at any given aging revolution for an individual aggregate never exceeded 2%. The method may be helpful in pairing aggregate polish-resistance performance with pavement need based on ADT.
总页数: Transportation Research Record. 1996. (1530) pp103-110 (5 Fig., 7 Tab., 11 Ref.)
报告类型: 科技报告
检索历史
应用推荐