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60 Procedures and Guidelines for Validating Contractor Test Data 2. REFERENCED DOCUMENTS 2.1 AASHTO Standards and Publications ï§ R 9 Standard Recommended Practice for Acceptance Sampling Plans for Highway Construction - Verification, Statistical Tests, Process Verification Practices, F- and t- tests, Dispute Resolution, Dealing with Outlier Observations, Resampling and Retesting. ï§ R 10 Standard Recommended Practice Definitions of Terms Related to Quality and Statistics as Used in Highway Construction - Multiple Related Definitions. ï§ R 18 Standard Recommended Practice for Establishing and Implementing a Quality Management System for Construction Material Testing Labs - Dispute Resolution, Appeals. ï§ R 42 Standard Recommended Practice for Development of a Quality Assurance Plan for Hot Mix Asphalt - Dispute Resolution. ï§ R 44 Standard Recommended Practice for Independent Assurance (IA) - Comparison of Test Results, Split Samples, Disadvantage of D2S, Use of Paired t-test. 2.2 ASTM Standard. ï§ E 178 Standard Practice for Dealing with Outlying Observations. 2.3 Others. ï§ NCHRP Research Report 946: Procedures and Guidelines for Validating Contractor Test Data. ï§ FHWA-RD-02-095 Optimal Procedures for Quality Assurance Specifications - Quality Assurance Specifications and Risk Assessment. ï§ FHWA-HRT-04-046 Evaluation Procedures for Quality Assurance Specifications - Quality Assurance Considerations. ï§ State of Maine Department of Transportation Standard Specifications, 2014. 3. TERMINOLOGY 3.1 acceptance planâalso called âacceptance sampling planâ or âstatistical acceptance planâ. An agreed-upon process for evaluating the acceptability of a lot of material. It includes defining lot size, frequency of sampling and testing, sampling methods, quality measures, acceptance limit(s), validation procedures, and pay adjustment provisions.
Proposed Practice for Validating Contractor Test Data 59 AASHTO Designation: R xxâ 1. SCOPE 1.1 Purpose â The purpose of this practice is to provide guidance on how State Highway Agencies (SHAs) should validate Contractor data that are used in acceptance decisions for materials and construction. 1.2 Target audience â This practice is intended for SHA materials and construction engineers responsible for establishing and maintaining Quality Assurance programs for highway materials and construction, Contractor personnel responsible for 1.3 Background resources â Relevant resources are NCHRP Research Report 946: Procedures and Guidelines for Validating Contractor Test Data, Federal Highway Administrationâs (FHWAâs) Technical Advisory T 6120.3 Use of Contractor Test Results in the Acceptance Decision, Recommended Quality Measures, and the Identification of Contractor/Department Risks (August 2, 2004) which provides the legal interpretation of Title 23 Code of Federal Regulations Part 637 Subpart B (23 CFR 637B). Optimal Procedures for Quality Assurance Specifications (Burati et al., 2003) and Transportation Research Circular Number E-C037, Glossary of Highway Quality Assurance Terms (2002), and other references listed in Section 2. 1.4 Application of recommended procedures â This practice is applicable to highway construction materials (e.g., asphalt concrete, portland cement concrete, aggregate base) which are evaluated for quality through characteristics used to assess compliance with project specifications. There may be certain circumstances that limit or preclude use of some aspects of the practice. For example, properties of some materials change substantially with time which precludes the ability to resample the material or make comparisons of material properties measured at different times. 1.5 This practice does not provide recommendations regarding the selection of Quality Characteristics for acceptance decisions. 1.6 This practice does not provide recommendations for frequency of sampling and testing. However, recommendations are provided regarding the minimum number of results that should be used in data validation. 1.7 This practice does not provide guidance on Independent Assurance (IA) plans. managing testing used in acceptance decisions, and consultants and third-party testers that are involved in validation.