Development of a Pavement Maintenance Management System. Volume VII. Maintenance and Repair Consequence Models and Management Information Requirements.

Abstract

Statistical prediction models for pavement condition index (PCI) and key distresses have been developed for asphalt and jointed concrete pavements. The models were developed based on field data collected during FY76 through FY78 from 19 airfields throughout the United States. The field data included traffic, climate, pavement structure and material properties, and previous maintenance. Prediction models were developed for concrete and asphalt pavements, respectively. These models represent the first iteration of the consequence models needed to help pavement engineers select the most economical maintenance and repair (M&R) strategies and to help management efficiently allocate repair funds. Two workshops were held to determine information required by Air Force Command and Base engineers to efficiently manage airfield pavement M&R. The workshops were attended by many Command and Base engineers, as well as representatives from the Air Force Design Center and the Directorate of Management Systems. Computer and information requirements were defined and implementation alternatives for a computer-aided pavement management system were developed as a result of these workshops. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA082340

Entities

People

  • Michael I. Darter
  • Mohamed Y. Shahin
  • Thomas T. Chen

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Counter WMD

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircrafts
  • Civil Engineering
  • Compressive Strength
  • Computer Programs
  • Computers
  • Construction
  • Cost Analysis
  • Databases
  • Economic Analysis
  • Engineering
  • Engineers
  • Maintenance Management
  • Software Development
  • Surveys
  • United States

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Pavement Materials Engineering.