Automobile inspection, maintenance and repair conference. Proceedings.

National Highway Traffic Safety Administration, Washington, D.C.

Inspection, maintenance and repair of motor vehicles.

Mode of access: Internet.

Assessment of the automotive inspection, maintenance, and repair industry. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Commercial vehicle maintenance and safety inspection programs. A report to the Secretary of Transportation.

Mode of access: Internet.

Operator's, unit, direct support, and general support maintenance manual for care, maintenance, repair, and inspection of pneumatic tires and inner tubes.

Includes index.

CH-47B and CH-47C helicopters : preventive maintenance daily inspection checklist.

"17 August 1982"--P. 1.

UH-1H/V and EH-1H/X aircraft : preventive maintenance daily inspection checklist.

"11 January 1983."

Flood control project maintenance and repair; Inspection report.

Mode of access: Internet.

UH-1C/M aircraft : preventive maintenance, daily inspection checklist.

"14 March 1980"--P. [1].

OH-58A/C helicopters : preventive maintenance daily inspection checklist.

"8 August 1980."

UH-1M aircraft : preventive maintenance, daily inspection checklist.

"18 July 1988"--Change no. 1.

Final : report assessing risk and variation in maintenance and rehabilitation costs for road network

This report presents the results of research projects conducted by The Australian Cooperative Research Centre for Construction Innovation, Queensland University of Technology, RMIT University, Queensland Government Department of Main Roads and Queensland Department of Public Works. The research projects aimed at developing a methodology for assessing variation and risk in investment in road network, including the application of the method in assessing road network performance and maintenance and rehabilitation costs for short- and long-term future investment.

Report : review of the literature : maintenance and rehabilitation costs for roads (Risk-based Analysis)

Realistic estimates of short- and long-term (strategic) budgets for maintenance and rehabilitation of road assessment management should consider the stochastic characteristics of asset conditions of the road networks so that the overall variability of road asset data conditions is taken into account. The probability theory has been used for assessing life-cycle costs for bridge infrastructures by Kong and Frangopol (2003), Zayed et.al. (2002), Kong and Frangopol (2003), Liu and Frangopol (2004), Noortwijk and Frangopol (2004), Novick (1993). Salem 2003 cited the importance of the collection and analysis of existing data on total costs for all life-cycle phases of existing infrastructure, including bridges, road etc., and the use of realistic methods for calculating the probable useful life of these infrastructures (Salem et. al. 2003). Zayed et. al. (2002) reported conflicting results in life-cycle cost analysis using deterministic and stochastic methods. Frangopol et. al. 2001 suggested that additional research was required to develop better life-cycle models and tools to quantify risks, and benefits associated with infrastructures. It is evident from the review of the literature that there is very limited information on the methodology that uses the stochastic characteristics of asset condition data for assessing budgets/costs for road maintenance and rehabilitation (Abaza 2002, Salem et. al. 2003, Zhao, et. al. 2004). Due to this limited information in the research literature, this report will describe and summarise the methodologies presented by each publication and also suggest a methodology for the current research project funded under the Cooperative Research Centre for Construction Innovation CRC CI project no 2003-029-C.

Report : development of a methodology for assessing variation in maintenance and rehabilitation costs

In the previous research CRC CI 2001-010-C “Investment Decision Framework for Infrastructure Asset Management”, a method for assessing variation in cost estimates for road maintenance and rehabilitation was developed. The variability of pavement strength collected from a 92km national highway was used in the analysis to demonstrate the concept. Further analysis was conducted to identify critical input parameters that significantly affect the prediction of road deterioration. In addition to pavement strength, rut depth, annual traffic loading and initial roughness were found to be critical input parameters for road deterioration. This report presents a method developed to incorporate other critical parameters in the analysis, such as unit costs, which are suspected to contribute to a certain degree to cost estimate variation. Thus, the variability of unit costs will be incorporated in this analysis. Bruce Highway located in the tropical east coast of Queensland has been identified to be the network for the analysis. This report presents a step by step methodology for assessing variation in road maintenance and rehabilitation cost estimates.