2012International Journal of Pavement EngineeringRequires access

Rigid and composite pavement index-based performance models for network pavement management system in the state of Louisiana

Mohammad Jamal Khattak, Corey Landry, Jared Veazey, Zhongjie Zhang

Open publisher page 17 citations

Abstract

The Louisiana Department of Transportation and Development (LADOTD) in conjunction with the Federal Highway Administration initiated a study to evaluate the existing Pavement Management System (PMS) of LADOTD. The study evaluated and updated the performance models for different pavement types and highway classifications as used by LADOTD. This paper discusses the development of index-based rigid and composite pavement models. Distress data collected over the last 10 years at 2-year intervals were sorted based on control sections, distress type, pavement type and four new LADOTD highway classifications: Interstate, National, State and Regional Highway System. The data were sorted and analysed based on the historical records of the construction/reconstruction and resurfacing year. Regression analyses were conducted and a methodology was adopted to develop generalised models, based on the fundamental concept of pavement rate of deterioration as a function of age. The newly developed models provide good prediction capabilities that will assist in assessing the deterioration of pavements. It is believed that improving the performance models will enhance the efficiency of the PMS of LADOTD.

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What this paper is about

The Louisiana Department of Transportation and Development (LADOTD) in conjunction with the Federal Highway Administration initiated a study to evaluate the existing Pavement Management System (PMS) of LADOTD. The study evaluated and updated the performance models for different pavement types and highway classifications as used by LADOTD. This paper discusses the development of index-based rigid and composite pavement models. Distress data collected over the last 10 years at 2-year intervals were sorted based on control sections, distress type, pavement type and four new LADOTD highway classifications: Interstate, National, State and Regional Highway System. The data were sorted and analysed based on the historical records of the construction/reconstruction and resurfacing year. Regression analyses were conducted and a methodology was adopted to develop generalised models, based on the fundamental concept of pavement rate of deterioration as a function of age. The newly developed models provide good prediction capabilities that will assist in assessing the deterioration of pavements. It is believed that improving the performance models will enhance the efficiency of the PMS of LADOTD.

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Available abstract

The Louisiana Department of Transportation and Development (LADOTD) in conjunction with the Federal Highway Administration initiated a study to evaluate the existing Pavement Management System (PMS) of LADOTD. The study evaluated and updated the performance models for different pavement types and highway classifications as used by LADOTD. This paper discusses the development of index-based rigid and composite pavement models. Distress data collected over the last 10 years at 2-year intervals were sorted based on control sections, distress type, pavement type and four new LADOTD highway classifications: Interstate, National, State and Regional Highway System. The data were sorted and analysed based on the historical records of the construction/reconstruction and resurfacing year. Regression analyses were conducted and a methodology was adopted to develop generalised models, based on the fundamental concept of pavement rate of deterioration as a function of age. The newly developed models provide good prediction capabilities that will assist in assessing the deterioration of pavements. It is believed that improving the performance models will enhance the efficiency of the PMS of LADOTD.

Key concepts: Pavement management, Transport engineering, Pavement engineering, Engineering, Gratitude, State highway, Index (typography), Civil engineering

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