01333253

Component

https://doi.org/10.3141/2227-20

http://scholar.google.com...atti&publication_year=2011

Vehicle manufacturers place a major focus on improving the design of vehicle components to respond better to changes in road surface profiles. Nevertheless, changes in the surface profile still directly affect user costs including repair and maintenance (R&M) costs and damage to goods. For example, AASHTO reported that poor road conditions added an estimated $76.8 billion to transport costs annually. The objective here is to estimate the effect of roughness, as expressed by the international roughness index, on vehicle durability and R&M costs. First, the R&M costs of Zaniewski et al. (the latest comprehensive research conducted in the United States) are updated by multiplying their reported costs by the inflation rate of R&M costs between 1982 and 2007. Then a mechanistic–empirical (M-E) methodology is proposed to estimate the effect of roughness on R&M costs. The proposed approach is based on fatigue damage analysis by using numerical modeling of the vehicle response. Finally, the results from the M-E approach are compared with the empirical results (updated Zaniewski tables) and found to be very close up to 5 m/km. The standard error is about 2%. Also, a case study of the I-69 section near Lansing, Michigan, is presented. This detailed analysis is useful for identifying those segments of the road within a project that cause higher operating costs to the traveling vehicles. These localized rough sections could then be subject to maintenance activities in order to remedy the problem.

01358795

11-3297

English

pp 180-188

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167505

Print

Figures (8) ; References (26) ; Tables (2)

Case studies; Durability; Operating costs; Pavements; Roughness; Surface course (Pavements); Vehicles

International Roughness Index; Interstate 69

Mechanistic-empirical evaluation; Road conditions

Lansing (Michigan)

Highways; Pavements; I23: Properties of Road Surfaces

TRIS, TRB, ATRI

Feb 17 2011 6:28PM

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• Evaluation of Pavement System Based on Ground-Penetrating Radar Full-Waveform Simulation
• Evaluation of Selected Effects of Pavement Riding Quality on Logistics Costs in South Africa
• Field Evaluation and Cost-Effectiveness of Saw and Seal Method to Control Reflection Cracking in Composite Pavements
• Life-Cycle Environmental Analysis for Evaluation of Pavement Rehabilitation Options
• Mechanistic–Empirical Evaluation of Aggregate Base and Granular Subbase Quality Affecting Flexible Pavement Performance in Minnesota
• Numerical Investigation of Response of Widened Pavement System
• Revised Methodology for Computing International Friction Index
• Ride Specifications: Virginia’s Experience, Accomplishments, and Challenges
• Sand Mix Interlayer to Control Reflective Cracking in Hot-Mix Asphalt Overlay
• Selection of Pavement for Highway Rehabilitation Based on Life-Cycle Cost Analysis: Validation of California Interstate 710 Project, Phase 1
• Simple Laboratory Method for Measuring Pavement Macrotexture: Pavement Cores and Aggregate Image Measurement System
• System for Measuring Splash on Wet Pavements
• Validation of Backcalculated Modulus Values from Falling Weight Deflectometer Through Instrumentation on I-35 in Oklahoma