Modeling to simulate inverted asphalt pavement testing: An emphasis on cracks in the semirigid subbase

Han, Zhenqiang; Sha, Aimin; Hu, Liqun; Jiao, Liya

doi:10.1016/j.conbuildmat.2021.124790

Cited by 13 publications

(9 citation statements)

References 17 publications

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“…Te healing indexes (HI 1 and HI 2 ) were used to evaluate self-healing properties of asphalt materials, calculated as shown equations ( 1) and (2).…”

Section: Experimental Methods and Parametersmentioning

confidence: 99%

“…On the contrary, the healing index HI 1 gradually decreases with the increase of the curing time under the condition of the control stress of 0.4 MPa. Under the condition of control stress of 0.4 MPa, the damage of the specimen was observed at the contact interface between the parallel plate and the specimen during the test, which belonged to the debonding between the specimen and the parallel plate, rather than the fatigue damage of the specimen itself; the two main reasons for this phenomenon were as follows: (1) the adhesion between the asphalt mastic itself and the parallel plate was small and the control stress was large during the test; (2) with the extension of the curing time, the epoxy resin cured to a higher degree. Te degree of curing of the epoxy resin improves with longer maintenance time allowing the mechanical properties of the asphalt to recover and the specimen is easily debonded from the parallel plate under higher stress.…”

Section: Efect Of Epoxy Resin On Self-healingmentioning

confidence: 99%

“…During the service life of roadway, trafc loading and temperature cycling may cause asphalt pavement cracking [1,2]. After cracks appear, moisture damage of asphalt concrete may occur under the repeated action of the load and rain [3].…”

Section: Introductionmentioning

confidence: 99%

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Self‐Healing Effect of Various Capsule‐Core Materials on Asphalt Materials

Chen

Liu

et al. 2022

Advances in Civil Engineering

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To further investigate the self-healing mechanism of microcapsules and exclude the interference of capsule-wall materials, a bi-plate test and a molecular model of asphalt and capsule-core materials were established using dynamic shear rheometer (DSR) and molecular dynamic (MD) simulation. Firstly, the models of asphalt-rejuvenator-asphalt and asphalt-epoxy resin-asphalt were established to simulate the interface of asphalt and capsule-core materials. The cross-linking between poxy resin and curing agent, and tensile tests were then simulated through Perl scripts. Finally, the bi-plate DSR test was applied to reveal the different action mechanisms between core materials and asphalt materials. The results showed that the cohesive energy of the epoxy resin and asphalt is greater than that of the rejuvenator at the same simulation time. Meanwhile, the maximum stresses generated after stretching for the two models were 69.9 and 34.68 MPa, respectively. The healing indexes HI1 and HI2 have a sound linear correlation with the maintenance time. The HI1 value of the epoxy resin is greater than that of the rejuvenator, and the maximum value exceeds 1. This implies that the capsule core of epoxy resin can recover the strength of damaged asphalt in a short time. Epoxy resin should be considered for asphalt cracks caused by heavy-load shear.

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“…Te healing indexes (HI 1 and HI 2 ) were used to evaluate self-healing properties of asphalt materials, calculated as shown equations ( 1) and (2).…”

Section: Experimental Methods and Parametersmentioning

confidence: 99%

Section: Efect Of Epoxy Resin On Self-healingmentioning

confidence: 99%

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Self‐Healing Effect of Various Capsule‐Core Materials on Asphalt Materials

Chen

Liu

et al. 2022

Advances in Civil Engineering

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“…The 3D finite element (FE) model considering cracks in the cement stabilized subbase and the plastic deformation property of the unbound aggregate base, was established by the authors [ 34 ]. The geometry and meshing result of the FE model are illustrated in Figure 5 .…”

Section: Full-scale Apt Setup and Model Parameters Determinationmentioning

confidence: 99%

Calibration of Inverted Asphalt Pavement Rut Prediction Model, Based on Full-Scale Accelerated Pavement Testing

Han

Sha

et al. 2023

Materials

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This study investigates the establishment and calibration method of the rut depth (RD) prediction model of inverted asphalt pavements (IAPs), based on full-scale accelerated pavement testing (APT), which facilitates the accurate and reliable design or maintenance of IAPs. A power function is adopted for the prediction model construction of the rut progression before the failure stage, based on the typical permanent deformation progression curve of flexible pavements. The APT loading history is divided into units, according to the difference in physical conditions, providing the basis for a cumulative RD analysis and model calibration. The nonlinear incremental recursive (IR) principle is applied in the RD analysis to consider the influence of the nonlinear material property, performance deterioration, and loading history on the RD development. Further, the rut shift function relating prediction models obtained from laboratory tests and full-scale APT is established to introduce the APT data in the calibration process. Accordingly, the mechanistic-empirical RD prediction model calibration method, based on APT and the IR principle, is proposed and applied in a case study of a IAP RD prediction model calibration. Four 3.5 m × 4 m IAP test sections S1–S4 are constructed and instrumented and 700,000- and 900,000-wheel loads are applied on test sections S1–S2 and S3–S4, respectively, using the heavy vehicle simulator. The test data from the different APT load units are utilized for the model calibration, and the resultant prediction errors range from −2.16 mm to 1.18 mm. The calibrated model can also be used for the RD prediction of IAPs with other design schemes, by updating the corresponding material-related coefficients and the finite element model, which is essential for the design and maintenance of IAPs. The proposed calibration method could be a useful reference for the establishment of flexible pavement performance prediction models.

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“…More recent studies introduce the inverted structure pavement, which involves a well-compacted granular aggregate base built between cement subbase and asphalt concrete. Accumulating evidence suggests the inverted structure can be constructed at a lower cost and outperforms conventional pavement structures [13].…”

mentioning

confidence: 99%

A data-driven approach to the evaluation of asphalt pavement structures using falling weight deflectometer

Liu

Cao

Huang

et al. 2022

DCDS-S

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<p style='text-indent:20px;'>The evaluation of asphalt pavement structures has been a critical challenge in the field due to the practical limitations in methodology. In this paper, we propose a data-driven framework to evaluate structural performance of nineteen widely used asphalt structures in the Research Institute of Highway Ministry of Transport track (RIOHTrack). Specifically, we utilize the unsupervised machine learning method to delineate the similar and disparate performance among tested structures based on four years of falling weight deflectometer (FWD) experiments. Next, the structural performance is investigated on the temporal scale and the dynamic performance variations are captured over the course of the testing. Finally, experimental results are discussed and we provide essential evidence to aid future asphalt pavement design and construction.</p>

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Modeling to simulate inverted asphalt pavement testing: An emphasis on cracks in the semirigid subbase

Cited by 13 publications

References 17 publications

Self‐Healing Effect of Various Capsule‐Core Materials on Asphalt Materials

Self‐Healing Effect of Various Capsule‐Core Materials on Asphalt Materials

Calibration of Inverted Asphalt Pavement Rut Prediction Model, Based on Full-Scale Accelerated Pavement Testing

A data-driven approach to the evaluation of asphalt pavement structures using falling weight deflectometer

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