Network-Level Pavement Structural Evaluation

Rada, Gonzalo R.; Nazarian, Soheil; Siddharthan, Raj; Thyagarajan, Senthilmurugan; Visintine, Beth A.; Nasimifar, Mahdi; Velarde, Jorge

doi:10.1061/(asce)is.1943-555x.0000454

Cited by 20 publications

(46 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This testing frequency allows for the characterization of seasonal effects on FWD pavement responses that has been useful to the development of modern mechanical-empirical designs ( 44 , 46 ). MnROAD has also contributed toward the next generation of pavement condition devices, such as the rolling weight deflection vehicles and has hosted multiple FHWA calibration events, in which pavement management vehicles can be evaluated equally at one facility on a variety of pavement sections and surface textures ( 47 ).…”

Section: Significant Contributionsmentioning

confidence: 99%

Contribution of MnROAD Research to Improvements in Concrete Pavement Technology from 1994–2019

Burnham

Worel

Izevbekhai

2020

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

By the late 1980s several states, including Minnesota, began to wonder if American Association of State Highway Official (AASHO) based asphalt and concrete pavement designs were still valid, given the significant changes in traffic loads, materials and construction practices over time. This interest in validating current designs, as well as seeking improved and more efficient designs and materials, led to the creation of the Minnesota Road Research facility, known as MnROAD. Construction of the first phase of test sections at MnROAD took place from 1991 to 1994, and it was open to traffic loading commencing on July 15, 1994. Since 1994, three phases of pavement research have been, and continue to be, conducted at MnROAD. In its first 25 years of operation, an overwhelming amount of pavement research and development has been accomplished at MnROAD. The focus of this paper is to describe many of the more unique and significant findings that have improved concrete pavement technology not only in Minnesota, but throughout the U.S. and other parts of the world. The contributions are categorized into the following areas: design, materials, construction, rehabilitation, pavement monitoring and evaluation, and full-scale testing. In each of the areas, the significant contributions are described and relevant references are cited. The positive contributions of MnROAD toward concrete pavement knowledge and technology have been recognized, and as a result, the MnROAD facility will continue to operate successfully into the future under the National Road Research Alliance (NRRA).

show abstract

Section: Significant Contributionsmentioning

confidence: 99%

Contribution of MnROAD Research to Improvements in Concrete Pavement Technology from 1994–2019

Burnham

Worel

Izevbekhai

2020

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…The calculated indices presented in this paper are the surface curvature index (SCI300) and the effective structural number (SN eff ). The SCI300 was temperature corrected using the method developed by Rada et al (11) whereas for SN eff the approach described in Lukanen et al (12) which corrects for center deflection is used. SCI300 thresholds to classify the pavement condition into good, fair, and poor were then determined based on a large database of simulated pavement sections by Rada et al (11) .…”

Section: Approachmentioning

confidence: 99%

“…The temperature-correction procedure used was developed by Rada et al ( 11 ). The procedure corrects for the strain at the bottom of the asphalt.…”

Section: Tsd Data Collection and Processingmentioning

confidence: 99%

“…Once the strain is estimated, it is temperature corrected using a procedure that relates the dynamic modulus to the strain. The steps for this procedure are as follows ( 11 ):…”

Section: Tsd Data Collection and Processingmentioning

confidence: 99%

“…Thresholds were obtained for three road categories—interstate, primary, and secondary roads— based on asphalt layer thickness as shown in Table 3. The thresholds given in Table 3 are based on a large database of simulated pavement sections by Rada et al ( 11 ). The responses from these simulated pavements were used to determine the number of load repetitions to failure, N f , computed using the Asphalt Institute equation ( 15 ):…”

Section: Tsd Data Collection and Processingmentioning

confidence: 99%

See 2 more Smart Citations

Application of Traffic Speed Deflectometer for Network-Level Pavement Management

Shrestha

Katicha

Flintsch

et al. 2018

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

In this paper, the traffic speed deflectometer (TSD), a device used for network level structural evaluation, is assessed. TSD testing was performed in nine states on a total of 5,928 miles (some repeated) during three time periods: November 2013, May to July 2014, and June to September 2015. This paper presents (1) the results of repeatability and comparison of the TSD with the falling weight deflectometer (FWD), (2) the results of the comparison of TSD measurements with typical pavement management system (PMS) data, and (3) an approach that can be implemented by State Highway Agencies (SHAs) to incorporate indices derived from TSD data into their PMS decision-making process. The results show that repeated TSD measurements follow similar trends and the TSD measurements and FWD measurements on the same pavement sections follow similar trends as well. Comparing TSD measurements with PMS surface condition data confirmed that the TSD provided valuable information about the structural condition of the tested pavement sections that cannot be derived from the already available pavement surface condition as part of an agency’s PMS. An example of how TSD information can be used to refine the triggered maintenance treatment category as part of a network-level PMS analysis is presented for a roughly 75-mile section of I-81 south in Virginia.

show abstract

A web platform for the management of road survey and maintenance information: A preliminary step towards smart road management systems

Bosurgi

Bruneo

Vita

et al. 2021

Structural Contr & Hlth

View full text Add to dashboard Cite

Summary Recently, even the road industry has been involved in an evolutionary process, inspired by the novel ‘Industry 4.0’. This transition moves the attention towards big‐data and Internet of Things concepts, determining novel data flows and relevant management efforts. In smart roads, modern instrumented vehicles and networks of sensors will provide frequent helpful measures (traffic, weather, condition, accidents, mechanical performance, etc.), with reduced efforts and costs. However, this process is currently at the preliminary phases and several issues raise. Since the management and elaboration of huge amounts of data represent a relevant novel issue, in this study, an original web platform for collection and analysis of road performance data is proposed. This platform can acquire and process several data classes and support maintenance activity planning. This paper focuses on pavement maintenance, to provide a reliable decision support tool for road agencies, alternatively feedable by modern survey equipment and, in future, widespread sensors (when effective smart road sensors are installed on the main highways). The platform has been tested, in a preliminary form, on an existing motorway, considering high‐performance survey systems data, with interesting and positive results.

show abstract

Network-Level Pavement Structural Evaluation

Cited by 20 publications

References 2 publications

Contribution of MnROAD Research to Improvements in Concrete Pavement Technology from 1994–2019

Contribution of MnROAD Research to Improvements in Concrete Pavement Technology from 1994–2019

Application of Traffic Speed Deflectometer for Network-Level Pavement Management

A web platform for the management of road survey and maintenance information: A preliminary step towards smart road management systems

Contact Info

Product

Resources

About