Relating Ride Quality and Structural Adequacy for Pavement Rehabilitation and Management Decisions

Abstract

TRB 2012 Annual MeetingPaper revised from original submittal.Rada, Perera, Prabhakar and Wiser 1. ABSTRACTRide quality and structural adequacy are key pavement performance indicators. The relationship between these two indicators has been a topic of frequent and continuing discussion in the pavement community, but to date an accepted and widely used relationship has not been identified. The objective of this project was to identify and verify the relationship between these two performance indicators, if any, using the LTPP pavement performance data. This was done in an effort to improve the evaluation and use of pavement condition data in pavement rehabilitation and design decisions. More specifically, the project was intended to develop and document a mechanism to include both ride and structural adequacy values within the context of current network-level PMS practices for highway agency implementation to ensure smooth pavements that are also structurally adequate. Towards the accomplishment of the project objective, two major activities were carried out: (1) a literature search to gather, review and synthesize available information on relating ride quality and structural adequacy, and (2) a review and assessment of data from the LTPP program to determine if such a relationship exists. This paper details those two activities as well as their major findings, observations and conclusions; a viable relationship could not be identified.TRB 2012 Annual Meeting Paper revised from original submittal.Rada, Perera, Prabhakar and Wiser 2 .

Fundamental Properties of Magnesium Phosphate Cement Mortar for Rapid Repair of Concrete

“…The compressive strength of MPC is higher than control until 28 days. This is due to high crystallinity of MgKPO 4 (H 2 O) 6 . This is a main hydration product of MPC mortar.…”

“…However, unlike other civil infrastructures, the traffic restriction during the repair of pavement costs high; only a couple of hours are given for the repair treatment at night to avoid congestion of transportation. Additionally, the conventional repair materials such as ordinary Portland cement and hot-mix asphalt may face early degradation due to a debondment from the existing substrate [3][4][5][6].…”

Optimizing Artificial Neural Networks For The Evaluation Of Asphalt Pavement Structural Performance

“…The LTPP database has been considered in the study to define an appropriate dataset in compliance with the previous requirements, as it contains several structural, traffic, climatic, and performance types of information related to over 2,500 North-American highway test sections for more than 25 years. The LTPP program was established as a part of the Strategic Highway Research Program (SHRP) and has been widely used as a reference database for analytical model definition and validation (Park, Thomas, and & Wayne Lee, 2007;Rada, Perera, & Prabhakar, 2012;Wang & Li, 2011). Maintenance and rehabilitation operations have been excluded from the dataset, i.e., for each section, the measurements following OF ROAD AND BRIDGE ENGINEERING 2 0 1 9/ 1 4 1the first maintenance operation have been excluded.…”

“…However, the evaluation of pavement structural performance is generally based on deflection measurements performed using the Falling Weight Deflectometer (FWD). These test procedures are slow, expensive, and cause adverse effects on traffic, due to the stopand-go procedure (Elseifi, Abdel-Khalek, & Dasari, 2012;Rada, Perera, & Prabhakar, 2012). Despite the introduction of the Rolling Weight Deflectometer (RWD) equipment, the FWD methodology is still more widespread and reliable.…”

“…Then, road agencies likely need novel techniques for reducing deflection survey frequency and, thus, costs and interferences on traffic, assuring an adequate knowledge of the pavement structural performance. Although some authors tried to correlate functional to structural parameters for simplifying the problem, some direct mechanical correlations among specific parameters (such as roughness and structural capacity) are still undefined and unclear (Bianchini & Bandini, 2010;Rada, Perera, & Prabhakar, 2012;Zhang, Manuel, Damnjanovic, & Li, 2003), increasing analytical issues. Moreover, the problem is remarkably complex, and it is impractical to rely on mechanical-based evolution models requiring consistent computational and economic efforts.…”