Fourier-finite element analysis of pavements under moving vehicular loading

Eslaminia, Mehran; Guddati, Murthy N.

doi:10.1080/10298436.2015.1007237

Cited by 17 publications

(7 citation statements)

References 4 publications

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“…FlexPAVE™ utilizes Fourier transform-based finite element analysis with moving loads. FlexPAVE™ simulations can account for the effects of temperature using the temperature–time history data obtained from the Enhanced Integrated Climatic Model ( 1 , 2 ). The simplified viscoelastic continuum damage (S-VECD) model is embedded in FlexPAVE™ for the fatigue damage computations.…”

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confidence: 99%

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Wang

Keshavarzi

Kim

2018

Transportation Research Record

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Reliable predictions of asphalt materials and pavement performance are important elements in mixture design, mechanistic-empirical pavement design, and performance-related specifications. This paper presents FlexPAVE™, a pavement performance prediction program. FlexPAVE™ is a three-dimensional finite element program that is capable of moving load analysis under realistic climatic conditions. It utilizes the simplified viscoelastic continuum damage (S-VECD) model to predict asphalt pavement fatigue life. This S-VECD model currently incorporates the so-called GR failure criterion to define the failure of asphalt mixtures. In this study, a new failure criterion for the S-VECD model, designated as the DR criterion, has been developed to remedy some of the shortcomings of the GR failure criterion. This DR criterion has been implemented successfully in FlexPAVETM. In this paper, FlexPAVETM is used to simulate the fatigue performance of field test sections. These test sections include various pavement structures, such as perpetual pavements and accelerated load facility test pavements in the United States, South Korea, and China, as well as various materials, such as warm-mix asphalt, reclaimed asphalt pavement, and mixtures with modified binders. The DR-based FlexPAVETM predictions have yielded good agreement with the field measurements and show more reasonable trends compared to predictions obtained using the GR failure criterion.

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confidence: 99%

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Wang

Keshavarzi

Kim

2018

Transportation Research Record

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“…The basic computational framework uses time-scale differences among temperature variation, traffic frequency variations, and fatigue/rutting evolution to reduce the number of pavement response analyses. In addition, it uses a stress-strain analysis using a layered structural approach based on a Fourier finite element (FFE) transform, to capture the viscoelasticity effects of materials, temperature, and the moving nature of loads (18). Fatigue cracking and rutting pavement performance are predicted using mechanics-based models (19).…”

Section: Flexpaveä 11mentioning

confidence: 99%

“…The temperature variation produces changes in stiffness and thermal stresses for AC materials in FlexPAVEä (20). The temperature pavement profile on an hourly basis is divided into three analysis segments, assuming that each segment has a constant temperature and associated thermal stress/strain, as well as a constant traffic load level (18). Then, changes in AC stiffness resulting from the temperature and load for each segment are achieved using the concepts of t-TS and reduced time, and then adjusting the relaxation times of the relaxation modulus, E(t), via Equation 21.…”

Section: Flexpaveä 11mentioning

confidence: 99%

Pavement Fatigue Damage Simulations Using Second-Generation Mechanistic-Empirical Approaches

Hernandez-Fernandez

Harvey

Underwood

et al. 2021

Transportation Research Record

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This article aims to demonstrate the advanced features of two second-generation mechanistic-empirical (ME) pavement analysis engines by focusing on their ability to conduct fatigue performance analysis. First, a comprehensive review is presented of both mechanistic and empirical damage models, underlining the additional features of CalME and FlexPAVE™ over AASHTOWare Pavement ME Design. Then, the capabilities of these methodologies are demonstrated by simulating the fatigue damage performance of an example study section. For these simulations the mechanical properties of four asphalt concrete mixtures, assembled in the laboratory with similar mix design attributes but diverse fatigue characteristics, were utilized. The empirical transfer functions were initially calibrated against field cracking for the unmodified mixture cracking predictions. After that, fatigue damage simulations for the other three mixtures were performed. The results showed a similar ranking in fatigue cracking performance for both software simulations. Polymer-modified mixtures exhibited higher fatigue cracking resistance, whereas the unmodified mixture showed the worst cracking resistance. However, significant differences in cracking initiation and progression rates were observed for all mixture simulations before and after calibration. This discrepancy was related to the different approaches to considering traffic loads in each software system, single axle in FlexPAVE™ and axle spectrum in CalME. Finally, current, and future enhancements for both analysis engines are briefly discussed.

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“…Lee developed ViscoWave based on the Laplace and Hankel transform to solve viscoelastic pavement responses under impulsive loading [22]. On the other hand, Eslaminia and Guddati developed the Fourier finite element (FFE) method to solve pavement problems from elastic domain to viscoelastic domain with Prony series as representation of viscoelastic material [23]. Liu et al applied the Fourier transformation of space along the direction perpendicular to traffic direction for calculating pavement responses under moving loads and found the agreements between the results from the semifinite element method (SFEM) and the ones obtained using ABAQUS [24,25].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Viscoelastic Pavement Responses under Moving Load and Nonuniform Tire Contact Stresses Using 2.5-D Finite Element Method

Wang

Zhao

et al. 2020

Mathematical Problems in Engineering

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This study developed two-and-half dimensional (2.5-D) finite element method (FEM) to predict viscoelastic pavement responses under moving loads and nonuniform tire contact stresses. The accuracy of 2.5-D FEM was validated with two analytical solutions for elastic and viscoelastic conditions. Compared to three-dimensional (3-D) FEM, the computational efficiency of the 2.5-D method was greatly improved. The effects of loading pattern and speed on pavement surface deflection and strain responses were analyzed for asphalt pavements with four different asphalt layer thicknesses. The analyzed pavement responses included surface deflections, maximum tensile strains in the asphalt layer, and maximum compressive strains on top of subgrade. The loading patterns have influence on the mechanical responses. According to the equivalent rule, the point load, rectangle type, and sinusoid-shape contact stresses were studied. It was found that the point load caused much greater pavement responses than that of the area-based loading. When the tire loading was simplified as uniform contact stress in rectangular area, the maximum tensile strains in the asphalt layer varied with the width/length ratio of contact area. Additionally, it was shown that the dynamic responses of pavement structure induced by the sinusoid-shape contact stresses and realistic nonuniform stresses were quite similar to each other in all the cases. The pavement strain responses decreased as the speed increased due to viscoelastic behavior of asphalt layer. The study results indicate that asphalt pavement responses under moving load can be calculated using the proposed 2.5-D FEM in a fast manner for mechanistic-empirical pavement design and analysis.

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Fourier-finite element analysis of pavements under moving vehicular loading

Cited by 17 publications

References 4 publications

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Pavement Fatigue Damage Simulations Using Second-Generation Mechanistic-Empirical Approaches

Prediction of Viscoelastic Pavement Responses under Moving Load and Nonuniform Tire Contact Stresses Using 2.5-D Finite Element Method

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Fourier-finite element analysis of pavements under moving vehicular loading

Cited by 17 publications

References 4 publications

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVETM, the S-VECD Model, and DR Failure Criterion

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVETM, the S-VECD Model, and DR Failure Criterion

Pavement Fatigue Damage Simulations Using Second-Generation Mechanistic-Empirical Approaches

Prediction of Viscoelastic Pavement Responses under Moving Load and Nonuniform Tire Contact Stresses Using 2.5-D Finite Element Method

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Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion