Application of relational database principles for rating bituminous coarse aggregates with respect to frictional performance

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Title: Application of relational database principles for rating bituminous coarse aggregates with respect to frictional performance
Author: Rachakatla, Prasanna
Abstract: The design approach that is commonly employed to ensure satisfactory skid resistance of bituminous pavement surfaces is to control the quality of coarse aggregates used in pavement construction . Traditionally , state and federal highway agencies have relied on the results of laboratory tests for this purpose . Among the laboratory tests , those commonly used are Polish Value Test , Acid Insoluble Residue Test and Petrographic Analysis . The findings from many research studies indicate that the reliability that can be achieved by using a single laboratory test is poor . In the current research study at Texas Tech , a comprehensive laboratory and field test program was undertaken with the objective of developing an improved procedure for predicting field skid resistance performance of bituminous aggregates . The field test program included monitoring of 55 pavement test sections that were located in various climatic zones within the state of Texas over a 3 -year study period . As a part of this monitoring program skid resistance of the pavement at 64 km /h , British pendulum number , and pavement macrotexture were measured . The laboratory test program consisted of complete characterization of the pavement coarse aggregates using the following test methods : Polish Values Test , Magnesium Sulfate Test , LA Abrasion Test , Acid Insoluble Residue Test and Petrographic Analysis . The skid resistance data collected over the 3 -year study period was then used to develop a "Skid Performance Rating" for each pavement section . Subsequently appropriate statistical analyses were conducted to develop regression models that related skid performance rating to various laboratory test parameters . The findings revealed that a better correlation is obtained when aggregates are categorized into sub -groups that contain aggregates with similar mineralogical makeup . Accordingly , aggregates were categorized based on percent carbonate minerals and the Acid Insoluble Residue . Statistical regression models were then developed for each aggregate category . As an alternative means , historical data on skid resistance of pavements constructed with a given aggregate can be used in the evaluation of aggregates . This alternative procedure is used by TxDOT to overcome the shortcomings of using laboratory test data . Highway agencies may use either of the above mentioned procedures to evaluate the performance of an aggregate source for use in constructing pavement test sections . A combination of the two approaches mentioned above may result in predicting field skid resistance on pavement surface courses with a greater degree of reliability . However , an approach that uses these two methods involves dealing with a large amount of laboratory and field test data . A user may find it extremely difficult and cumbersome to maintain and use this information to reliably predict the skid resistance of pavement test sections . In order to achieve the objective of faster reliable prediction of aggregate field skid performance , a application tool was developed . This application , 'SKIDRATE' , was specifically designed to address the problem of predicting skid resistance on Hot Mix Asphalt Concrete (HMAC ) pavement surfaces . SKIDRATE combines Relational Database Management Systems (RDBMS ) principles and statistical regression techniques to evaluate aggregate sources to be used in the construction of HMAC pavement surfaces . An Entity -Relationship Data model was used to analyze and design the RDBMS . Important entities and association among the entities were identified along with the respective cardinalities of the association . Primary and foreign keys were determined for the relations in the RDBMS . The relations were normalized to 3NF in most of the situations . The application enables the storage of data about the aggregate source , results of laboratory tests and details of field skid testing . Users of the application can retrieve the required information on any given aggregate source and process the data using the results of a comprehensive statistical regression analysis that is integrated within the application . This integration of database technology and statistical regression analyses facilitates fast , easy and reliable interpretation of the field and laboratory test results . The application can be used as a convenient tool by engineers in transportation departments to evaluate the suitability of an aggregate for use in pavement surface courses .
URI: http : / /hdl .handle .net /2346 /18632
Date: 2000-08


Application of relational database principles for rating bituminous coarse aggregates with respect to frictional performance. Doctoral dissertation, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /18632 .

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