Integration of non-destructive testing methods to assess asphalt pavement thickness

Plati, Christina; Loizos, Andreas; Gkyrtis, Konstantinos

doi:10.1016/j.ndteint.2020.102292

Cited by 42 publications

(21 citation statements)

References 28 publications

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“…Other studies demonstrate that GPR is effective in determining the asphalt layers, being moderately successful in the detection of base thickness and shallow stratigraphy and is not applicable in the location of the near-surface bedrock [225]. However, other studies demonstrate that a 600 MHz center frequency antenna allows the detection of the bedrock contact and also changes in the compaction of the subgrade, locating areas under the pavement with poor soil compaction [226]. Low compaction of the subgrade soil could be the cause of road degradation, and GPR assessment could be a support in the strategies for road restorations.…”

Section: Soil Subgrade Assessment and The Detection Of Bedrockmentioning

confidence: 99%

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A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

2021

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The non-destructive testing and diagnosis of transport infrastructures is essential because of the need to protect these facilities for mobility, and for economic and social development. The effective and timely assessment of structural health conditions becomes crucial in order to assure the safety of the transportation system and time saver protocols, as well as to reduce excessive repair and maintenance costs. Ground penetrating radar (GPR) is one of the most recommended non-destructive methods for routine subsurface inspections. This paper focuses on the on-site use of GPR applied to transport infrastructures, namely pavements, railways, retaining walls, bridges and tunnels. The methodologies, advantages and disadvantages, along with up-to-date research results on GPR in infrastructure inspection are presented herein. Hence, through the review of the published literature, the potential of using GPR is demonstrated, while the main limitations of the method are discussed and some practical recommendations are made.

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Section: Soil Subgrade Assessment and The Detection Of Bedrockmentioning

confidence: 99%

“…Pavement is usually assessed with GPR in combination with FWD [223,[226][227][228]. In these studies, one of the most common analysis is the determination of layer thickness [30,36,38,[58][59][60][61][62][63]75].…”

Section: Pavement Layer Thickness Analysismentioning

confidence: 99%

A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

2021

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“…A revision of the state-of-the-art in the assessment of pavement structural conditions, comparing the results in the estimation of thickness and moduli of different layers can be found in [18]. In many cases, the analysis of the pavement conditions are evaluated by using GPR and falling weight deflectometer (FWD) [19][20][21]. A wide revision of fundamentals and applications of NDT and geophysical surveys in the assessment of structures and infrastructures can be found in [22,23].…”

Section: Detection Of Failures In Pavementsmentioning

confidence: 99%

GPR Spectra for Monitoring Asphalt Pavements

2020

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Ground Penetrating Radar (GPR) is a prospecting method frequently used in monitoring asphalt pavements, especially as an optimal complement to the defection test that is commonly used for determining the structural condition of the pavements. Its application is supported by studies that demonstrate the existence of a relationship between the parameters determined in GPR data (usually travel time and wave amplitude) and the preservation conditions of the structure. However, the analysis of frequencies is rarely applied in pavement assessment. Nevertheless, spectral analysis is widespread in other fields such as medicine or dynamic analysis, being one the most common analytical methods in wave processing through use of the Fourier transform. Nevertheless, spectral analysis has not been thoroughly applied and evaluated in GPR surveys, specifically in the field of pavement structures. This work is focused on analyzing the behavior of the GPR data spectra as a consequence of different problems affecting the pavement. The study focuses on the determination of areas with failures in bituminous pavement structures. Results epitomize the sensitivity of frequencies to the materials and, in some cases, to the damage.

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“…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 ].…”

Section: Introductionmentioning

confidence: 99%

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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Integration of non-destructive testing methods to assess asphalt pavement thickness

Cited by 42 publications

References 28 publications

A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

GPR Spectra for Monitoring Asphalt Pavements

Integrating Pavement Sensing Data for Pavement Condition Evaluation

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