01029449

Component

https://doi.org/10.3141/1946-04

http://scholar.google.com...rian&publication_year=2006

The strength of portland cement concrete (PCC) is one of the major acceptance quality characteristics in most existing specifications and quality assurance programs for PCC pavement. A statistical method is provided for determining the sample size requirements for reliable estimates of PCC parameters for pavement strength. These parameters include compressive strength from cylinders, flexural strength from beams, and dynamic seismic modulus from both portable seismic pavement analyzer and the free–free resonant column seismic nondestructive testing (NDT) methods. The sample size, which refers to the number of tests or measurements for each quality characteristic taken randomly from a lot, is a function of specifications tolerance, buyer’s (i.e., agency’s) risk, seller’s (contractor’s) risk, and the standard deviation of the test parameter under consideration. In practice, sample size typically is set on the basis of practical considerations and engineering judgment. Although practicality is an important consideration, there is a need to verify the adequacy of these practices on the basis of sound statistical analysis. The cost of sampling and testing is also discussed. The results of the study reveal that the sample size used in FAA’s Item P-501 (which is four beams or cylinders per lot) is relatively small and needs to be increased. A larger sample size can be most cost-effectively achieved if seismic NDT is used because of the rapid and nondestructive nature of these testing methods.

01031140

English

pp 33-38

2006

Transportation Research Record: Journal of the Transportation Research Board

0309099544

Print

Figures (3) ; Photos (3) ; References (9) ; Tables (3)

Acceptance sampling; Acceptance tests; Compressive strength; Concrete pavements; Dynamic modulus of elasticity; Flexural strength; Nondestructive tests; Portland cement concrete; Quality assurance; Samples; Statistical analysis; Strength of materials

Sample size

Construction; Data and Information Technology; Highways; Materials; I32: Concrete; I52: Construction of Pavements and Surfacings

TRIS, TRB, ATRI

Mar 3 2006 10:56AM

• Accuracy and Precision of Typical Quality Measures
• Comparative Analysis of Field Permeability Testing of Compacted Hot-Mix Ashpalt Pavements: Using Air and Water Permeameters
• Estimating Percent Within Limits for Skewed Populations
• Evaluating Specification Limits
• Evaluation of Superpave Mix Design for Low-Volume Roads in New Jersey
• Evaluation of the Effect of Sampling Location on Laboratory-Measured Quality Control Parameters
• Field Trial of Infrared Joint Heater to Improve Longitudinal Joint Performance in New Hampshire
• Finite Difference Modeling of Misaligned Dowel Bars and Their Effects on Joint Performance
• Mathematical Modeling Procedures for Performance-Related Specifications
• Probabilistic Procedure for Analyzing Construction Pay Adjustment Systems
• Quality Assurance of Hot-Mix Asphalt: Comparison of Contractor Quality Control and Georgia Department of Transportation Data
• Quantification of Risk Cost Associated with Short-Term Warranty-Based Specifications for Pavements
• Quantity-Based Approach to Preliminary Cost Estimates for Highway Projects
• Rational Estimation of Construction Impact on Pavement Performance
• Seismic Testing to Determine Quality of Hot-Mix Asphalt
• Thermal Imaging of Hot-Mix Asphalt Paving Projects in Connecticut
• Thermal Imaging of Hot-Mix Paving Operations for Quality Assessment: State of the Practice in Texas
• Visually Improving Construction Contract Administration