Using Pavement Performance Data to Develop Mechanistic-Empirical Concepts for Deteriorated and Rehabilitated Pavements
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1994-12-01
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Edition:Final Report
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Abstract:This report summarizes existing pavement condition indices, and available prediction models for each condition index. This report also identifies existing data bases, where the required variables for the prediction models have been collected. Successive chapters detail: the condition indices and their prediction models; the selected data bases (HPMS, SHRP-LTPP, Copes, FHWA Design, FHWA Rehabilitation, Texas CRCP, and FMIS) with analysis and evaluation of each; significant data elements in the SHRP-LTPP data base; data elements for future development models; current types of prediction models and modeling techniques; and a computer flow chart illustrating data requirements and the conceptual operation of models to select and design maintenance and rehabilitation alternatives. The conclusions emphasize the development of modeling tools, rather than specific models. The proposed MODEL TOOL BOX allows each user to develop models unique to their environment, soil types, and maintenance and rehabilitation most frequently used.
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