A mechanistic framework for field response assessment of asphalt pavements

Gkyrtis, Konstantinos; Loizos, Andreas; Plati, Christina

doi:10.1007/s42947-020-0097-x

Cited by 9 publications

(7 citation statements)

References 44 publications

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“…In this study, the authors emphasized their research efforts at a new airfield concrete pavement assessment shortly after its construction. Although maintenance or rehabilitation actions normally become an issue for either highway or airport agencies after 5-6 years or so on [36], the early-age pavement evaluation is of utmost importance for two dominant reasons. Firstly, pavement evaluation aims at a Quality Control (QC) assessment and secondly at the establishment of a reference status.…”

Section: Discussion Pointsmentioning

confidence: 99%

“…Of course, the procurement and transportation logistics of the NDT systems at multiple regional airports in a periodical basis as well as continuous coring might be critical limitations in the described evaluation processes [36] that could limit the framework's effectiveness for routine applications. In such cases, the use of the Synthetic Aperture Radar (SAR) technology can complement the overall process in terms of airfield infrastructure monitoring by indicating the need for ad-hoc and timely pavement monitoring with NDTs or coring in a more targeted and cost-effective way.…”

Section: Discussion Pointsmentioning

confidence: 99%

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Structural Performance Assessment of Airfield Concrete Pavements Based on Field and Laboratory Data

et al. 2021

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Maintenance interventions and rehabilitation actions in airfield pavements are time-consuming and adversely affect pavements’ serviceability (i.e., airport closures), with a profound impact on the airport economics. Once a pavement is constructed, a robust asset management prerequisites systematic and accurate knowledge of pavement condition throughout its service life. Evaluating a pavement’s structural capacity in the field involves the integration of multiple Non-Destructive Testing (NDT) systems, with the Falling Weight Deflectometer (FWD) being the most indicative NDT system for pavement evaluation. The purpose of the present study is to develop a methodology for the assessment of airfield concrete pavements. A new and non-trafficked Jointed Plain Concrete Pavement (JPCP), facing early-life cracks shortly after a runway’s expansion activities, was utilized for the investigation. Multiple types of data collected in the field, including deflections, load transfer efficiency at joints and cracks, concrete thickness through coring as well as data retrieved in the laboratory (concrete’s flexural strength), helped to define the pavement’s performance and assess its damage potential. Overall, the integration of such data can provide the related airport authorities the necessary information in order to make a rational asset management and enhance the efficiency of airfield infrastructures. The methodology is applicable for both new and in-service pavements.

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Section: Discussion Pointsmentioning

confidence: 99%

Section: Discussion Pointsmentioning

confidence: 99%

Structural Performance Assessment of Airfield Concrete Pavements Based on Field and Laboratory Data

et al. 2021

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“…The considered sensing data included roughness measurements through RSP, deflectometric data through FWD and pavement thickness data estimated through GPR analysis. Although pavement profile is known to interact with pavement response in terms of pavement–vehicle dynamics, the present investigation focuses on static loading conditions that are usually adopted in the framework of pavement analysis as a standard practice [ 26 , 29 , 30 ]. Therefore, to meet the research aim, the following objectives were set: To statistically treat RSP data in order to define characteristic IRI values at the FWD test locations.…”

Section: Aim and Objectivesmentioning

confidence: 99%

“…Being a more in-depth analysis, it best suits project level investigations, required, for example, in the framework of potential rehabilitation design strategies. Overall, the FWD system constitutes the standard approach for both project and network level investigations worldwide [ 26 , 29 , 30 , 36 ].…”

Section: Ndt-based Pavement Sensingmentioning

confidence: 99%

“…A reliable determination of pavement structural condition deterioration over time under traffic and environmental loading can be established through sensing pavement deflections with either the FWD or the more sophisticated Traffic Speed Deflection Devices (TSDD) [ 26 , 27 , 28 ]. As a standard practice worldwide, deflectometric data is most often combined with pavement stratigraphy data estimated through geophysical surveys, i.e., Ground Penetrating Radar (GPR), in order to back-calculate the pavement stiffness profile and further proceed with a pavement response and failure analysis [ 26 , 29 , 30 , 31 ]. Thus, the integration of systems utilized for both the structural and functional assessment of pavements is more than desirable, since a good ride quality itself may not necessarily ensure structural adequacy.…”

Section: Introductionmentioning

confidence: 99%

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Integrating Pavement Sensing Data for Pavement Condition Evaluation

Gkyrtis

Loizos

Plati

2021

Sensors

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Highway pavements are usually monitored in terms of their surface performance assessment, since the major cause that triggers maintenance is reduced pavement serviceability due to surface distresses, excessive pavement unevenness and/or texture loss. A common way to detect pavement surface condition is by the use of vehicle-mounted laser sensors that can rapidly scan huge roadway networks at traffic speeds without the need for traffic interventions. However, excessive roughness might sometimes indicate structural issues within one or more pavement layers or even issues within the pavement foundation support. The stand-alone use of laser profilers cannot provide the related agencies with information on what leads to roughness issues. Contrariwise, the integration of multiple non-destructive data leads to a more representative assessment of pavement condition and enables a more rational pavement management and decision-making. This research deals with an integration approach that primarily combines pavement sensing profile and deflectometric data and further evaluates indications of increased pavement roughness. In particular, data including Falling Weight Deflectometer (FWD) and Road Surface Profiler (RSP) measurements are used in conjunction with additional geophysical inspection data from Ground Penetrating Radar (GPR). Based on pavement response modelling, a promising potential is shown that could proactively assist the related agencies in the framework of transport infrastructure health monitoring.

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Evaluation of the correlations between laboratory measured material properties with field cracking performance for asphalt pavement

Zhang

Shen

et al. 2021

Construction and Building Materials

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A mechanistic framework for field response assessment of asphalt pavements

Cited by 9 publications

References 44 publications

Structural Performance Assessment of Airfield Concrete Pavements Based on Field and Laboratory Data

Structural Performance Assessment of Airfield Concrete Pavements Based on Field and Laboratory Data

Integrating Pavement Sensing Data for Pavement Condition Evaluation

Evaluation of the correlations between laboratory measured material properties with field cracking performance for asphalt pavement

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