Search results for "Asphalt concrete"

showing 4 items of 4 documents

Monitoring road pavement performance through a novel data processing approach, accelerated pavement test results

2020

This research presents a novel performance-based interpretation method for continuous monitoring of pavement condition through the use of piezoelectric sensors. The objective of this study is to validate the compressed cumulative loading event approach, implemented in a previously developed piezoelectric sensor, for detecting subsurface fatigue cracking through full-scale accelerated pavement testing. A piezo-electric film of polyvinylidene fluoride is used to harvest the microstrain energy induced by the traffic loading at the surface. Epoxy is used to protect the sensor following a H-shape packaging. Piezoelectric sensors were exposed to approximately 1.0 million load repetitions between …

Data processingAccelerated pavement testingbusiness.industryPiezoelectric sensorPavement responseContinuous monitoringStructural engineeringLongitudinal strainAccelerated Pavement Testing (APT)Asphalt concreteCrackingEnvironmental scienceStructural health monitoring (SHM)businessStrain gaugeStrain gaugeEnergy (signal processing)Piezoelectric sensor
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A machine learning approach to determine airport asphalt concrete layer moduli using heavy weight deflectometer data

2021

An integrated approach based on machine learning and data augmentation techniques has been developed in order to predict the stiffness modulus of the asphalt concrete layer of an airport runway, from data acquired with a heavy weight deflectometer (HWD). The predictive model relies on a shallow neural network (SNN) trained with the results of a backcalculation, by means of a data augmentation method and can produce estimations of the stiffness modulus even at runway points not yet sampled. The Bayesian regularization algorithm was used for training of the feedforward backpropagation SNN, and a k-fold cross-validation procedure was implemented for a fair performance evaluation. The testing p…

Heavy weight deflectometerComputer scienceMaintenanceRunwayGeography Planning and DevelopmentTJ807-830Management Monitoring Policy and LawStiffness modulusTD194-195Machine learningcomputer.software_genreRenewable energy sourcesMachine learningPerformance predictionGE1-350Layer (object-oriented design)Environmental effects of industries and plantsArtificial neural networkRenewable Energy Sustainability and the Environmentbusiness.industryFeed forwardPavement managementBuilding and ConstructionBackpropagationEnvironmental sciencesAsphalt concreteShallow neural networkHeavy weight deflectometer; Machine learning; Maintenance; Runway; Shallow neural network; Stiffness modulusRunwayArtificial intelligencebusinesscomputer
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Laboratory and in-situ tests for estimating improvements in asphalt concrete with the addition of an LDPE and EVA polymeric compound

2019

Abstract Pavement deformation is a critical issue in the design of pavement structures and the related mixture. Asphalt concretes may be very sensitive to this problem, in compliance with the viscoelastic behaviour of the adopted bitumen. To improve the material performance, many attempts have been made to introduce in the mixture other materials as “modifiers” or “additives” for increasing the permanent deformation resistance and the elastic modulus of the material. Among the different possible materials, polymers determined significant improvements in the road pavement performance. In this paper, the authors tested the adoption of a specifically engineered polymeric compound, in order to …

Materials scienceModified asphalt concrete0211 other engineering and technologiesModulus020101 civil engineeringContext (language use)02 engineering and technologyViscoelasticity0201 civil engineering021105 building & constructionSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials ScienceComposite materialPermanent deformationElastic modulusCivil and Structural Engineeringbusiness.industryMix-design Modified asphalt concrete Permanent deformation Polymeric compound Polymeric compoundBuilding and ConstructionMix-designAsphalt concretePolymeric compoundLow-density polyethyleneAsphaltDeformation (engineering)business
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Experimental characterization of asphalt for an elasto-visco-plastic constitutive model.

2007

This paper describes a range of uniaxial creep tests that have been undertaken for a proprietary polymer modified asphalt, the procedure used to determine the parameters required for an elasto-visco-plastic constitutive model. Uniaxial compressive creep testing and creep recovery testing have been undertaken over a range of temperatures and stress conditions. Procedures used to determine the model parameters from the test data are detailed and parametric equations are developed to describe the model parameters as functions of the test conditions. Particular attention is given to the determination of the parameters related to visco-plastic flow and damage accumulation at high strain levels. …

Settore ICAR/04 - Strade Ferrovie Ed Aeroporticonstitutive modelling Asphalt concrete Finite Element Damage
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