详情

原文传递 STATISTICAL ANALYSIS OF PAVEMENT STRUCTURE DATA IN PMS DATA BASE.

题名：	STATISTICAL ANALYSIS OF PAVEMENT STRUCTURE DATA IN PMS DATA BASE.
作者：	Sekiguchi-M; Hosoda-M; Inagaki-M; Tomita-H; McGregor-T
关键词：	TOKYO-JAPAN; PAVEMENT-MANAGEMENT-SYSTEMS; DATA-BASES; PAVEMENT-STRUCTURES; STATISTICAL-ANALYSIS; ACCURACY-; FIELD-DATA; FIELD-INVESTIGATIONS; GROUND-PENETRATING-RADAR; BOREHOLE-CAMERAS; THICKNESS-
摘要：	The Tokyo Metropolitan Government Road Authority is currently performing pavement structure surveys using a system that integrates ground penetrating radar and a proprietary borehole camera. The road authority's intention is to increase the efficiency and usefulness of its pavement management system (PMS) data base related to pavement structure. A large amount of data was acquired during 1992 and 1993. By means of statistical methods, these structure data could be manipulated to illustrate the nature of several segments of pavement structure in the Tokyo metropolitan area. The results were successful, thus reassuring the road authority of the usefulness of this relatively new system of PMS data base input. Statistical methods determined that the segment lengths are relatively short (an average of 500 m per segment). The accuracy of the field data is good enough to use as structure thickness for the PMS data base, but it must be noted that normalized thickness is achieved as a result of averaging the actual thickness that includes some irregularity due to the irregularity of the layer. In most of the areas surveyed, designed structures corresponded to measured structures with a few exceptions. These exceptions were detected by the field survey system. Though there is no practical difference between normalized and actual segment thicknesses when they are used to perform falling weight deflectometer inverse analysis, further field data and a statistical data correlation study are needed to develop this method to a more practical level.
总页数：	Transportation Research Record. 1995. (1508) pp53-59 (14 Fig., 3 Ref.)
报告类型：	科技报告