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Publication Number: FHWA-RD-98-155
Date: FEBRUARY 1999

Volume 1: Practical Guide, Final Report and Appendix A

Introduction

Performance-related specifications (PRS) have capabilities beyond traditional QA specifications. These capabilities include clearly defining lots and sublots (for all sampling and testing), the subsequent sampling and testing of key AQC's that relate directly to the future performance of the constructed pavement, and predicting future LCC's used to compute contractor pay adjustments (incentives and disincentives). Thus, the level of quality (expressed as a mean and standard deviation) achieved for each of the key AQC's can be related directly to rationally computed pay adjustments based on sound economic principles.

The initial ground-breaking work on PRS was done by R.M. Weed for the New Jersey Department of Transportation.(7) This work provided a basis for the prototype PRS developed under a previous FHWA research study. (See references 1, 2, 3, and 8.) The prototype used an innovative approach that considered the estimated future LCC of the pavement as the overall measure of quality. Under the prototype, target values (means and standard deviations) must be established for four key AQC's (concrete strength, slab thickness, entrained air content, and initial smoothness). These AQC's are then measured from the in situ pavement during construction. The computed as-constructed AQC lot means are then used in established mathematical models to predict key distress indicators (transverse joint faulting, transverse cracking, transverse joint spalling, and PSR) over a chosen analysis period. The amount of the pay adjustment is then based on the AQC quality-related increase or decrease in future LCC's expected to be incurred by the agency over the chosen analysis life of the project (assuming a given rehabilitation policy). A computer software program, PaveSpec, was developed to demonstrate the prototype specification.

Although the prototype PRS were based on rational concepts, researchers realized that an attempt to implement such specifications would most likely be met with resistance. This resistance would result from the general unfamiliarity with the current PRS concepts, the dependency of computed pay adjustments on the PaveSpec software, the additional costs associated with strongly emphasized in situ testing, and the need to simulate the actual pay factor in the field. Under the current research project, a strategy was developed to aid in the acceptance and implementation of the revised prototype PRS. This involved the development of three different PRS implementation levels. Each of these is described in detail in the following section.

 Three Levels of PRS Implementation

The overall goal of PRS research is to progress toward developing ideal PRS that incorporate all important AQC's of PCC pavements that not only affect pavement performance, but are also under the control of the contractor. As a means of achieving this goal, future research should attempt to:

Obviously, much research is needed to develop and implement an ideal PRS. Such an effort will take much more research and funding. Therefore, as a means of organizing the envisioned work needed to develop these ideal PRS, three different levels (chronological steps) of PRS implementation were proposed. These three levels are defined as follows:

The Level 1 pay factor computation method is based on calculating independent pay factors for each AQC (all other AQC's are assumed to be equal to the target values). Each of these pay factors is determined from a series of developed pay factor versus AQC mean curves. These curves, each specific to a different as-constructed AQC standard deviation, are created by correlating simulated lot pay factors over a range of AQC means. Each computed pay factor is, therefore, a function of the measured as-constructed mean and standard deviation, target mean and standard deviation, and sample size. Final payment for the lot is based on a chosen CPF equation (expressed as a simple mathematical function of the independently determined AQC pay factors). This Level 1 CPF is an estimate of the pay factor determined using the more rigorous procedures of Level 2.

The Level 2 pay factor computation method calculates lot pay factors by directly comparing simulated as-designed (target) and as-constructed LCC's. Interactions of AQC's are included in the simulations (e.g., an increase in concrete strength may counteract a deficiency in slab thickness). The pay factor calculation is based on the premise of liquidated damages. Final payment for the lot is based on the simulated pay factor determined using the PaveSpec software.

Each level may differ in the number of AQC's included, the sampling and testing methods required for each AQC, the distress indicator prediction models used to predict pavement performance, and the computation method for payment adjustments. The details of the three proposed PRS levels of implementation are summarized in table 1.

The original PRS prototype and corresponding computer program (PaveSpec) have been updated and revised under this current research project. The revised PRS prototype addresses both Level 1 and Level 2 PRS acceptance procedures and is included as appendix A (in this volume).

Enlarge Figure 1

Table 1.
Details of the three proposed PRS implementation levels.

 


The Federal Highway Administration (FHWA) is a part of the U.S. Department of Transportation and is headquartered in Washington, D.C., with field offices across the United States. is a major agency of the U.S. Department of Transportation (DOT).
The Federal Highway Administration (FHWA) is a part of the U.S. Department of Transportation and is headquartered in Washington, D.C., with field offices across the United States. is a major agency of the U.S. Department of Transportation (DOT). Provide leadership and technology for the delivery of long life pavements that meet our customers needs and are safe, cost effective, and can be effectively maintained. Federal Highway Administration's (FHWA) R&T Web site portal, which provides access to or information about the Agency’s R&T program, projects, partnerships, publications, and results.
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