International Concrete Abstracts Portal

SP-101 As a designer or engineer you need reliable test data when determining the strength of concrete. Computer Use for Statistical Analysis of Concrete Test Data will explore new ways in which the computer can help you achieve statistically more accurate results from your testing procedures. In addition, this important new volume presents various tools to help you interpret test results, and reports on the measures of reliability which can be used in establishing specifications and design criteria for the strength of concrete. This state-of-the-art publication, offers insight into the use of computers, including micro and mini computers, in concrete quality control and quality evaluation. With topics such as: analysis of in-place test data with spreadsheet software, computer analysis and plotting of computer data, analysis of cover meter data, and development of prediction relations from compression test data using regression analysis, Computer Use for Statistical Analysis of Concrete Test Data will be an indispensable source of information.

The current trend of fast construction has necessitated the knowledge of the 28-day strength of the concrete cylinder at an early stage. This is achieved by using prediction relations to predict the 28-day strength based on the early test. This article presents a general method to develop the 28-day strength prediction models by analyzing the compression test data statistically and by using the linear regression analysis. A procedure is discussed to develop a computer program to perform the linear regression analysis. A method is also offered to obtain the nonlinear curves from the linear regression analysis program. Two applications of these prediction relations are discussed--prediction of 28-day strength and specification of early strength as an acceptance criterion. As an example, the prediction relations developed for the City of Phoenix are presented.

This report presents a computer program for the computation of required average strength, f'cr, based on the field strength test data. Based on the recent Code (ACI 318-83), four different cases--available data more than or equal to 30, available data for two consecutive sets more than or equal to 30, available data more than or equal to 15 but less than 30, and no field data available for comparable concrete--are identified and solved. The necessary equations and flow chart are presented so the reader more clearly understands the sequence of operations. Input/output data are explained using sample problems that illustrate the capability of the program to handle the different cases. The steps presented are written for one particular brand of computer, but the specialized commands are kept to a minimum so that the user can easily modify the program to other types of similar widely used computers.

The cover meter, commonly known as the pachometer, is a useful instrument in locating steel reinforcing bars within concrete members. The instrument works on the principle that steel bars present in the developed magnetic flux field will cause a meter deflection. The larger the steel bar or the closer it is to the probe, the larger the meter deflection. Many times the cover meter is used to locate steel to minimize the chances of cutting the reinforcing during coring operations. At other times, it is desirable to learn the placement of the bars for structural reasons, such as times when the loading of a structure is being changed and the reinforcing placement is not known, for rehabilitation of older structures, or in times of controversy when the quality of construction is questioned. The paper analyzes data for a project in which the placement of reinforcement was questioned. A correlation was established for the cover meter for the meter reading and the measured cover. Statistical analysis of the data was used to 1) establish a regression model, 2) learn the expected accuracy of a reading, and 3) establish a meter reading that would have a specified confidence for a desired cover. Since the cover data included a range of values for reinforcing bars relatively close to the surface to three inches or more below the surface, a statistical analysis of the instrument's variability for differing bar depths was made.

Pullout testing provides a measurement of in-place strength of concrete, and maturity can be used to estimate strength development. Test statistics are useful tools for interpreting the significance of the data. Maturity may correlate to pullout strength by regression analysis. The simplest correlation would be linear using the logarithm of maturity. Linear relationships may be compared using test statistics to determine if slopes and/or intercepts are significantly different. Statistical analysis techniques are used to evaluate pullout strength and maturity data. Some limitations associated with these techniques are discussed. A programmable calculator was used to develop the programs to illustrate the application of these analysis techniques.