Rutting prediction in airport pavement granular base/subbase: A stress history based approach

Donovan, Phillip; Sarker, Priyanka; Tutumluer, Erol

doi:10.1016/j.trgeo.2016.08.005

Cited by 9 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, since the wander locations were very close together between the gear wheels, a slight difference in the readings could lead to significant changes in the resulting deformation basin, so only the locations that had the maximum downward and upward residual values were used in this study to develop the deformation basin. The methodology of using stationary MDD responses to create deformation basins of pavements has been well documented by Donovan et al ( 14 ).…”

Section: Development Of the Stress-history-based Rut Prediction Toolmentioning

confidence: 99%

“…However, calculating the magnitude of the residual transverse profile across a pavement section based on an individual residual transverse profile is extremely difficult. In a recent study using NAPTF Construction Cycle 1 (CC1) and Construction Cycle 3 (CC3) database, a methodology was developed to predict the final transverse profile from multiple passes by using the residual transverse profile caused by an individual aircraft movement and the measured transverse profile after a complete wander pattern ( 14 ). The CC1 and CC3 study found that unique relationship exists between the maximum downward residual deformation and the critical transverse points.…”

Section: Development Of the Stress-history-based Rut Prediction Toolmentioning

confidence: 99%

See 1 more Smart Citation

Airfield Pavement Damage Evaluation Due to New-Generation Aircraft Wheel Loading and Wander Patterns

Sarker¹,

Tutumluer

2018

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

This paper presents a stress-history-based approach to predict the deformation basins of airport pavements subjected to heavy aircraft loading applied in sequential wanders. Multi-depth deflectometer data from full-scale aircraft landing gear tests conducted at the National Airport Pavement Test Facility built by the Federal Aviation Administration are used to create individual pass residual deformation transverse profiles. The computed residual deformation profiles are further corrected for stress-history effects to predict rut in the selected test sections. The developed model focuses on using the previous load location and stress history of the soil element to develop the deformations in that element. Despite the unavailability of the surface transverse profile data measured in the field at different passes, the initial attempt of the model can closely predict the deformation profile similar to width and shape expected in the field. And after the stress-history effects are accounted for, the initially calculated rut depth decreases significantly to match the final contour basin of the test sections extracted from the post traffic trenching. The advantage of using the stress-history-effects-based rut prediction tool is that it can allow any combination of wander positions and sequences of load applications to be accounted for their effects on the final surface rut development.

show abstract

Section: Development Of the Stress-history-based Rut Prediction Toolmentioning

confidence: 99%

Section: Development Of the Stress-history-based Rut Prediction Toolmentioning

confidence: 99%

Airfield Pavement Damage Evaluation Due to New-Generation Aircraft Wheel Loading and Wander Patterns

Sarker¹,

Tutumluer

2018

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

show abstract

“…On average, the modulus from the second pass was 28.24% higher than that of the first pass. The previous NAPTF full-scale pavement tests reported that the vehicle passes with wander offsets caused an “anti-shakedown” effect in the unbound aggregate layer because of the upward dilative deformation caused by large horizontal stresses ( 5 – 8 ). Further, Kang et al observed a modulus decrease after the wheel pass with the wheel offset and a modulus increase after the wheel pass without the wheel offset via BE field sensor measurement ( 10 ).…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Airport Pavement Base Layer Stiffness Characteristics via Embedded Field Sensors

Kang

Wang

Qamhia

et al. 2023

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

Real-time stiffness monitoring of unbound aggregate layers using embedded field sensors is crucial for advanced airport pavement design and management. This paper describes research findings on monitoring base layer stiffness characteristics for airport pavements using an embedded bender element (BE) field sensor, inductive coil sensors, and pressure cells. A full-scale pavement test section was constructed at the Federal Aviation Administration (FAA)’s National Airport Pavement Test Facility (NAPTF). A BE field sensor, inductive coil sensor pairs, and pressure cells were installed in the unbound aggregate base to evaluate the layer stiffness, applied load stress, and deformation characteristics. A triple dual tandem gear loading module applied 58,000 lb per wheel to the tested section with a wander pattern consisting of 66 passes arranged in nine lateral wander positions. Dynamic responses of coil sensors and pressure cells were collected during the traffic test, whereas BE signals were collected after completing each wander pattern. Laboratory repeated load triaxial tests with BE instrumentation were also conducted to establish a correlation for converting BE field sensor readings to layer modulus properties. The in situ modulus characteristics of the aggregate base layer were evaluated during full-scale testing using two methods: shear wave velocities from a BE field sensor, and strain and stress measurements from coil sensors and pressure cells. The moduli estimated using both approaches fell into typical ranges of crushed aggregate bases and were highly comparable. The moduli from the dynamic sensor measurements clearly showed the effect of vehicle wander on aggregate base layer measured responses.

show abstract

“…From a previous research study, during the analyses of the NAPTF multi-depth deflectometer data, Donovan and Tutumluer ( 3 ) observed an “anti-shakedown” effect, which is a phenomenon that the downward permanent deformation caused by one wheel pass of heavy gear is canceled by the upward dilative deformation, resulting from the pass of the gear transversely offset by wander ( 4 , 5 ). This interaction indicated a shuffling or rearrangement of the aggregate particles that reduced the strength of the unbound layer.…”

Section: Resultsmentioning

confidence: 99%

“…The NAPTF facility is capable of testing pavements with various gear configurations of new generation aircraft. The effects of the heavy aircraft loading and the vehicle wander have been studied by many researchers through the full-scale studies conducted during different construction cycles (CC) at the NAPTF, primarily through the measured pavement layer deformations; the contributions of the unbound aggregate base/ subbase to pavement rutting were associated with vehicle wander causing aggregate particle shuffling and rearrangements, therefore negatively affecting unbound aggregate layer performance (2)(3)(4)(5)(6)(7)(8).…”

mentioning

confidence: 99%

Airport Pavement Stiffness Monitoring and Assessment of Mechanical Stabilization using Bender Element Field Sensor

Kang

Qamhia

Tutumluer

et al. 2022

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

The bender element (BE) field sensor is a newly developed embedded pavement instrumentation that measures shear wave velocity to estimate constructed layer moduli of unbound aggregate bases and subbases. This paper presents findings related to monitoring stiffness characteristics of airport pavement base courses instrumented with BE field sensors and tested under full-scale accelerated pavement testing during Construction Cycle 9 (CC9) of the National Airport Pavement Test Facility (NAPTF) by the U.S. Federal Aviation Administration (FAA). The CC9 aggregate base courses were constructed following FAA’s P-209 specification for a geosynthetic experiment using a biaxial geogrid installed at the bottom of the 8-in. (203-mm) thick base in the north test section, while the control pavement in the south test section was built without a geogrid. Two BE field sensors were installed in the north and south test sections approximately 1 in. (25 mm) above the base–subbase interface. Multiple stages of aircraft gear loads, including static dual-gear, dynamic slow-roll (moving wheel), and dynamic proof-roll, were applied to the test sections. BE field sensor data collected throughout multiple loading stages were used to investigate the stiffness characteristics of the pavement base. These preliminary tests conducted at the NAPTF CC9 experiment revealed the effects of static and dynamic aircraft gear loads on the stiffness of the aggregate base layer and how confinement influenced the moduli of the geogrid-stabilized base. Further, previously observed anti-shakedown effects caused by vehicle load wander could be quantified through changing base course modulus and deformation behavior from the BE field sensor data analysis.

show abstract

Rutting prediction in airport pavement granular base/subbase: A stress history based approach

Cited by 9 publications

References 6 publications

Airfield Pavement Damage Evaluation Due to New-Generation Aircraft Wheel Loading and Wander Patterns

Airfield Pavement Damage Evaluation Due to New-Generation Aircraft Wheel Loading and Wander Patterns

Evaluation of Airport Pavement Base Layer Stiffness Characteristics via Embedded Field Sensors

Airport Pavement Stiffness Monitoring and Assessment of Mechanical Stabilization using Bender Element Field Sensor

Contact Info

Product

Resources

About