详情

原文传递 SILICEOUS CONTENT DETERMINATION OF SANDS USING AUTOMATIC IMAGE ANALYSIS.

题名：	SILICEOUS CONTENT DETERMINATION OF SANDS USING AUTOMATIC IMAGE ANALYSIS.
作者：	Thomas-TW; White-TD; Kuczek-T
关键词：	FINE-AGGREGATES; AGGREGATE-ANALYSIS; SANDS-; SILICEOUS-CONTENT; HOT-MIX-ASPHALT; RUTTING-; STRIPPING-; AUTOMATIC-IMAGE-ANALYSIS; ACCURACY-; CORE-ANALYSIS; TIME-SAVING-METHODS
摘要：	The characteristics of fine aggregate have a significant influence on the field performance of hot asphalt concrete mixtures. Siliceous and rounded particles, which make up a significant percentage of natural sand, are generally related to rutting and possibly stripping of asphalt mixtures. This study was conducted to develop and verify manual counting and automatic image analysis techniques to evaluate aggregate blends for amount of siliceous sand-size particles. Verification involved preparation of samples with known proportions of siliceous (translucent) and calcareous (opaque) particles. The samples prepared were analyzed manually with the aid of a microscope and automatically with an image analyzer. It was found that automatic image analysis can be used with a higher degree of confidence and accuracy than manual counting techniques in determining percent translucent particles. After the image analysis techniques were developed, extracted fine aggregates from field cores of various highway pavements in Indiana were examined with the image analyzer to determine amounts of translucent particles. The percentages of translucent sand particles, assumed to be natural sand, were evaluated for the effect on the gradation, and it was found that as the siliceous sand content on the field cores increased, humps on the 0.45 power gradation curve were likely to increase. Image analysis was found to be up to four times faster than manual counting techniques.
总页数：	Transportation Research Record. 1994. (1437) pp51-58 (5 Fig., 4 Tab., 7 Ref.)
报告类型：	科技报告