00638702

Component

http://onlinepubs.trb.org...trr/1993/1397/1397-002.pdf

https://scholar.google.co...rter&publication_year=1993

There is a great need for simplified pavement performance models that can be used for forecasting pavement condition on the basis of a minimal amount of available data. The development of predictive models is summarized for five conventional pavement types: asphalt concrete (flexible), composite, jointed plain concrete, jointed reinforced concrete, and continuously reinforced concrete. These models predict the present serviceability rating (PSR) using only knowledge of the pavement's age, cumulative equivalent single-axle loads, and a pavement structural parameter (structural number for flexible, overlay thickness for composite and slab thickness for concrete pavements). The models were developed from data from several reliable and readily available data bases in Illinois. A unique calibration technique was introduced and incorporated into the proposed models so that they can be used to predict the performance of existing and new pavements. The models were then extended through the development of adjustment factors to various functional groups and climatic zones using data from the actual multiyear nationwide Highway Performance Monitoring System (HPMS) data bases. The accuracy of PSR prediction was tested for several thousand HPMS sections throughout the United States using a user-friendly computer program (SIMPERF). The results appeared to be very reasonable in a large proportion of cases analyzed. However, the models are empirical and definitely not suitable for use in pavement design or for comparison of the performance of different pavement types.

This paper appears in Transportation Research Record No. 1397, Pavement Management Systems. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

01401235

English

p. 7-14

1993

Transportation Research Record

0309054680

Figures (6) ; References (15) ; Tables (3)

Accuracy; Adjustment factors; Asphalt pavements; Climate; Composite pavements; Concrete pavements; Evaluation; Forecasting; Functions (Mathematics); Pavement performance; Pavements; Serviceability

Pavement conditions

Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

TRIS, TRB, ATRI

Oct 28 1993 12:00AM

• COMPREHENSIVE RANKING INDEX FOR FLEXIBLE PAVEMENT USING FUZZY SETS MODEL
• CONDITION-BASED TREATMENT RECOMMENDATION FOR PROJECT-LEVEL PAVEMENT MANAGEMENT
• DEVELOPMENT OF DELAWARE DEPARTMENT OF TRANSPORTATION PAVEMENT MANAGEMENT SYSTEM
• DYNAMIC DECISION MODEL FOR PAVEMENT MANAGEMENT USING MECHANISTIC PAVEMENT PERFORMANCE SUBMODEL
• INTEGRATED PAVEMENT AND BRIDGE MANAGEMENT OPTIMIZATION
• NETWORK CONDITION ANALYSIS FOR PAVEMENT PROGRAM DEVELOPMENT: A CASE STUDY
• OBJECTIVE-ORIENTED APPROACH TO FULFILLING THE NEED FOR PMS PAVEMENT STRUCTURE SURVEY DATA IN JAPAN
• RANKING VERSUS SIMPLE OPTIMIZATION IN SETTING PAVEMENT MAINTENANCE PRIORITIES: A CASE STUDY FROM EGYPT
• REVISIONS TO ARIZONA DEPARTMENT OF TRANSPORTATION PAVEMENT MANAGEMENT SYSTEM
• SEASONAL TRUCK VOLUME PATTERNS IN WASHINGTON STATE
• SERVICE LIVES AND COSTS OF LOCAL HIGHWAY MAINTENANCE AND REHABILITATION TREATMENTS
• STATE INCREMENT OPTIMIZATION METHODOLOGY FOR NETWORK-LEVEL PAVEMENT MANAGEMENT
• STATUS OF PAVEMENT MANAGEMENT SYSTEMS AND DATA ANALYSIS MODELS AT STATE HIGHWAY AGENCIES
• THERE ARE TWO CATEGORIES OF PMS ANALYSIS METHODS: REACTIVE AND GENERATIVE
• URMS: A GRAPHICAL URBAN ROADWAY MANAGEMENT SYSTEM AT NETWORK LEVEL