Implementation of the Structural Condition Index into the Louisiana Pavement Management System Based on Rolling Wheel Deflectometer Testing

2017 ◽  
Vol 2641 (1) ◽  
pp. 39-47 ◽  
Author(s):  
Omar Elbagalati ◽  
Mostafa A. Elseifi ◽  
Kevin Gaspard ◽  
Zhongjie Zhang
Keyword(s):  
Management System ◽  
Condition Index ◽  
Structural Condition ◽  
Pavement Management ◽  
Pavement Management System ◽  
Rolling Wheel

Protocol for FWD Data Collection at Network-Level Pavement Management in Iran

2018 ◽  
Vol 2672 (40) ◽  
pp. 68-77 ◽  
Author(s):  
Narges Matini ◽  
Nader Tabatabaee ◽  
Mojtaba Abbasghorbani
Keyword(s):  
Management System ◽  
Condition Index ◽  
Structural Condition ◽  
Pavement Management ◽  
Pavement Management System ◽  
Potential Safety ◽  
Time Required ◽  
Falling Weight Deflectometers ◽  
Ground Penetrating ◽  
Falling Weight

The objective of this study was to develop an approach for incorporating techniques used to interpret and evaluate deflection data for network-level pavement management system applications. A national pavement management system is being developed in Iran and the use of falling weight deflectometers (FWDs) at the network level was deemed necessary to compensate for the lack of vital construction history data in the pavement inventory. Because FWD measurements disrupt traffic flow and are a potential safety hazard, it is imperative to increase the interval between FWD testing points as much as possible to allow scanning of the entire 51,000 km network of freeways, highways, and major roads in a reasonable time span with the least traffic disruption. A project-level dataset at 0.2 km intervals in different environments and diverse traffic categories was selected for analysis. In addition, data from continuous ground-penetrating radar was collected concurrently and compared with a limited number of cores. The overall analysis included evaluation of interval variation, segmentation, the structural condition index (SCI), and layer moduli calculated using the AASHTO and ELMOD methods. The analysis was done to determine the optimum interval between test points. Analysis showed that the collection intervals could be increased from 0.2 to 0.6 km. Subsequently, the applicability and time efficiency of the network-level intervals were verified by calculating overlay thickness and time required.

scholarly journals Proposal and Implementation of a Heliport Pavement Management System: Technical and Economic Comparison of Maintenance Strategies

2021 ◽  
Vol 13 (16) ◽  
pp. 9201 ◽  
Author(s):  
Paola Di Mascio ◽  
Alessio Antonini ◽  
Piero Narciso ◽  
Antonio Greto ◽  
Marco Cipriani ◽  
...  
Keyword(s):  
Management System ◽  
Condition Index ◽  
Pavement Management ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Airport Pavement ◽  
Maintenance And Rehabilitation ◽  
Pavement Condition Index ◽  
Rotary Wing ◽  
Economic Comparison

Maintenance and rehabilitation (M&R) scheduling for airport pavement is supported by the scientific literature, while a specific tool for heliport pavements lacks. A heliport pavement management system (HPMS) allows the infrastructure manager to obtain benefits in technical and economic terms, as well as safety and efficiency, during the analyzed period. Structure and rationale of the APSM could be replicated and simplified to implement a HPMS because movements of rotary-wing aircrafts have less complexity than fixed-wing ones and have lower mechanical effects on the pavement. In this study, an innovative pavement condition index-based HPMS has been proposed and implemented to rigid and flexible surfaces of the airport of Vergiate (province of Varese, Italy), and two twenty-year M&R plans have been developed, where the results from reactive and proactive approaches have been compared to identify the best strategy in terms of costs and pavement level of service. The result obtained shows that although the loads and traffic of rotary-wing aircrafts are limited, the adoption of PMS is also necessary in the heliport environment.

Development of Adaptive Performance Models for Oklahoma Airfield Pavement Management System

2003 ◽  
Vol 1853 (1) ◽  
pp. 44-54 ◽  
Author(s):  
Jie Yuan ◽  
Michael A. Mooney
Keyword(s):  
Management System ◽  
Condition Index ◽  
Pavement Management ◽  
General Aviation ◽  
Portland Cement Concrete ◽  
Performance Models ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Maintenance And Rehabilitation ◽  
The Family

The Oklahoma airfield pavement management system (APMS) is a set of pavement management tools that can assist with pavement condition evaluation, as well as prioritization and scheduling of pavement maintenance and rehabilitation activities. Pavement performance models were developed to support the APMS for more than 70 Oklahoma general aviation airports. The family modeling method based on the pavement condition index was tailored to fit the deterioration characteristics of these airfield pavements. The statistical and engineering significance of seven levels of pavement factors was investigated, and pavement factors that affect pavement deterioration significantly were identified as family variables. Asphalt concrete pavement families were formed by sorting pavement function, distress cause, and pavement thickness, while portland cement concrete pavements were divided into families according to pavement function and climate zone. The family polynomial curves were able to reveal the expected deterioration patterns and are logical in engineering principle. Rooted by an adaptive database, the system accepts expert opinion and automatically integrates effects of major maintenance and rehabilitation activities into modeling. From the up-to-date database, the performance models update forecasts automatically.

scholarly journals Coordinated Pavement Management System between Municipalities and State in Rhode Island

2019 ◽  
Author(s):  
masoud faramarzi
Keyword(s):  
Rhode Island ◽  
Management System ◽  
Surface Condition ◽  
Condition Index ◽  
Pavement Management ◽  
Pavement Management System ◽  
Health Indices ◽  
State Highway ◽  
Budget Analysis ◽  
Transportation Agencies

State of Rhode Island and Providence Plantation (RI) has 6,052 miles roadways: 1,098 miles State-maintained highways, 4,766 miles cities and towns-maintained roadways, 188 miles for other jurisdictions. Most transportation agencies are using their own pavement management system (PMS); however, the coordinated system for state highways and municipally maintained roads appears to be absent. Thus, a coordinated effort has been made successfully among state, municipalities and academia in RI. A standardized PMS with MicroPAVER™ was established for Kingston campus at University of Rhode Island (URI) to help the implementation for cities and towns in 1988. URI team suggested to evaluate only one representative sample unit per section. Condition survey has been performed for 30 years, and current and future condition were determined and predicted for URI campus, respectively. Maintenance and rehabilitation (M&R) strategies were established and budget analysis was performed for needed cities and towns. Rhode Island Department of Transportation (RIDOT) adopted a PMS based on surface condition as well as roughness from 1985. Like MicroPAVER™ pavement condition index (PCI), RIDOT developed and calculated pavement structural health indices (PSHIs) for each 1/10th of mile segment of highway. Gradually RIDOT has been using Deighton Total Infrastructure Management System (dTIMS™) as its PMS for state-maintained highways since 1993. To coordinate two systems, MicroPAVER™ and dTIMS™ were used for network of Cranston city and RI state highway in the present study, respectively. Hope that this model PMS will stimulate more implementation for other transportation agencies.

Engineering Application of Washington State’s Pavement Management System

1998 ◽  
Vol 1643 (1) ◽  
pp. 25-33
Author(s):  
Michael J. Baker ◽  
Joe P. Mahoney ◽  
Nadarajah “Siva” Sivaneswaran
Keyword(s):  
Management System ◽  
Construction Material ◽  
Engineering Application ◽  
Structural Condition ◽  
Washington State ◽  
The State ◽  
Pavement Management ◽  
Pavement Performance ◽  
Pavement Management System ◽  
Analysis Group

Previous investigation into the Washington State Department of Transportation’s (WSDOT) Pavement Management System (WSPMS) revealed pavement sections on the state route system that were outperforming or underperforming other pavement sections constructed of similar materials and subjected to similar traffic and environmental conditions. Reasons were not clear. The WSPMS was used to identify superior and inferior candidate pavements for further investigation. All state route pavements were stratified into 18 distinct analysis groups, and population statistics were generated for each group providing WSDOT with a snapshot of the current “state of the state route system” and providing the basis for selecting candidate pavements. The five performance measures considered included: age of the surface course, a distress-based pavement structural condition score, annual design-lane equivalent single axle loads, roughness (in terms of International Roughness Index), and rutting. Results of the analysis suggest that WSDOT is properly designing layer thicknesses at appropriate reliability levels. Also, in 6 of 10 analysis group comparisons, inferior pavements were actually thicker than superior pavements. Both findings suggest that thickness design factors are not the primary cause of inferior performance in Washington State; construction, material and site specific factors are likely the cause. Additionally, in an international effort to exchange information on pavement performance and construction practices, highlights of a comparative study of pavement performance with South Africa’s Gauteng Department of Transportation are presented.

Pavement Structural Capacity from Traffic Speed Deflectometer for Network Level Pavement Management System Application

2019 ◽  
Vol 2673 (2) ◽  
pp. 456-465 ◽  
Author(s):  
Mahdi Nasimifar ◽  
Senthilmurugan Thyagarajan ◽  
Sarah Chaudhari ◽  
Nadarajah Sivaneswaran
Keyword(s):  
Management System ◽  
Structural Condition ◽  
Pavement Management ◽  
Pavement Design ◽  
Pavement Management System ◽  
Design Engineers ◽  
Structural Capacity ◽  
Traffic Speed ◽  
Falling Weight Deflectometers ◽  
Falling Weight

Structural number (SN) represents the structural capacity of a flexible pavement system to sustain anticipated traffic and is among the structural indices most commonly used by pavement design engineers in the U.S. Effective structural number (SNeff) is an indicator of structural capacity of in-service pavement sections and is conventionally estimated from nondestructive testing (NDT) device data such as falling weight deflectometers (FWDs) using methods such as suggested by AASHTO. In addition to pavement design, structural condition is a critical input for the selection of maintenance and rehabilitation strategies in pavement management system (PMS) application. However, use of SN in network level application has not been practical because of limitations of FWD such as stop-and-go operation, lane closures, and low testing frequency. The traffic speed deflectometer (TSD), a continuous deflection device, has recently been gaining worldwide application as a reliable NDT device for network level PMS applications. The objective of this study is to develop a practical approach to compute and utilize SN of in-service flexible pavements from TSD data for network level PMS applications. The study is based on the fundamental that, for the same pavement, SNeff from the TSD using the proposed method should be in good agreement with SNeff from the FWD using AASHTO method. The developed method was field validated with TSD and FWD data collected at in-service pavement sections. In addition, the use of structural number ratio, defined as a ratio of SNeff to required SN, in network level prioritization of structural capacity improvements was illustrated.

Development of Structural Condition Index to Support Pavement Maintenance and Rehabilitation Decisions at Network Level

2003 ◽  
Vol 1827 (1) ◽  
pp. 10-17 ◽  
Author(s):  
Zhanmin Zhang ◽  
German Claros ◽  
Lance Manuel ◽  
Ivan Damnjanovic
Keyword(s):  
Evaluation Method ◽  
Surface Condition ◽  
Condition Index ◽  
Structural Condition ◽  
Pavement Management ◽  
Structural Deformation ◽  
Pavement Maintenance ◽  
State Highway ◽  
Structural Reinforcement ◽  
Maintenance And Rehabilitation

Every year, state highway agencies apply large amounts of seal coats and thin overlays to pavements to improve the surface condition, but these measures do not successfully address the problem. Overall pavement condition continues to deteriorate because of the structural deformation of pavement layers and the subgrade. To make effective decisions about the type of treatment needed, one should take into consideration the structural condition of a pavement. Several different structural estimators can be calculated by using falling weight deflectometer data and information stored in the Pavement Management Information System (PMIS) at the Texas Department of Transportation. The analysis considers pavement modulus and structural number as the structural estimators of a pavement. The evaluation method is based on the sensitivity of the structural estimators to deterioration descriptors. The deterioration per equivalent single-axle load of all major scores stored in the Texas PMIS is proposed as the primary indicator of pavement deterioration. In addition, the use of the structural condition index is recommended as a screening tool to discriminate between pavements that need structural reinforcement and those that do not. This index is calibrated for use in maintenance and rehabilitation analysis at the network level.

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