Computational analysis of the creep behaviour of bituminous mixtures

Pasetto, Marco; Baldo, Nicola

doi:10.1016/j.conbuildmat.2015.07.054

Cited by 22 publications

(16 citation statements)

References 14 publications

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“…Substitution of Equations (2) and (6) into Equation (4), we can obtain the volumetric stress tensor for cases of the isotropic damage. The results are expressed as Equations (16) and (17):…”

Section: Numerical Implementationmentioning

confidence: 99%

“…For implementation in the finite element method, the incremental shear and bulk stress tensors for cases of the isotropic damage are obtained by using Equations (14) and (16) as follows: For a given strain at the current incremental step, the rate of the damage density can be calculated using the normalized damage density versus strain curve. Details of constructing the normalized damage density versus strain curve will be presented in Section 3.2, which is the main focus of this paper.…”

Section: Numerical Implementationmentioning

confidence: 99%

“…For implementation in the finite element method, the incremental shear and bulk stress tensors for cases of the isotropic damage are obtained by using Equations (14) and (16) as follows:…”

Section: Numerical Implementationmentioning

confidence: 99%

“…Furthermore, García et al [10], Zhang et al [11], and Huang et al [12] have developed numerical schemes for implementation of linear viscoelastic constitutive model in finite element (FE) codes to simulate the mechanical properties of asphalt mixture under certain conditions. However, different material's response models, based on visco-elastic-plastic equations implemented on finite element codes [13][14][15][16], rather than with the discrete element method [17,18] can be found in the literature.…”

Section: Introductionmentioning

confidence: 99%

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Investigation on Microstructural Damage Properties of Asphalt Mixture Using Linear and Damage-Coupled Viscoelastic Model

et al. 2019

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This paper presents an image-based micromechanical modeling approach for simulating the damage-couple viscoelastic response of asphalt mixture. Details of the numerical damage-couple viscoelastic constitutive formulation implemented in a finite element code are presented and illustrated by using the ABAQUS user material subroutine (UMAT). Then, an experimental procedure based on the Linear Amplitude Sweep test for obtaining the viscoelastic and damage parameters at a given temperature was conducted. An improved morphological multi-scale algorithm was employed to segment the adhesive coarse aggregate images. We developed a pixel-based digital reconstruction model of asphalt mixture with the X-ray CT image after being processed. Finally, the image-based FE model incorporated with damage-coupled viscoelastic asphalt mastic phase and elastic aggregates was used for the compressive test simulations successfully in this study. Simulation results showed that the damaged simulation results have a larger stress distribution compared with the undamaged simulation due to the irregularity of the coarse aggregates. The von Mises stress distribution is smaller as the loading time increases due to the viscoelastic behavior of asphalt mastic. It can also provide insight on the damaged mechanisms and the possible location in asphalt mixture where microscopic cracking would most likely occur.

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Section: Numerical Implementationmentioning

confidence: 99%

Section: Numerical Implementationmentioning

confidence: 99%

“…For implementation in the finite element method, the incremental shear and bulk stress tensors for cases of the isotropic damage are obtained by using Equations (14) and (16) as follows:…”

Section: Numerical Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation on Microstructural Damage Properties of Asphalt Mixture Using Linear and Damage-Coupled Viscoelastic Model

et al. 2019

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“…Typically, a mathematical model of the material's behavior is based on constitutive equations, expressed in analytical terms [7,8], eventually implemented in a computational system for finite element analysis [9,10].…”

Section: Introductionmentioning

confidence: 99%

Stiffness Modulus and Marshall Parameters of Hot Mix Asphalts: Laboratory Data Modeling by Artificial Neural Networks Characterized by Cross-Validation

2019

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The present paper discusses the analysis and modeling of laboratory data regarding the mechanical characterization of hot mix asphalt (HMA) mixtures for road pavements, by means of artificial neural networks (ANNs). The HMAs investigated were produced using aggregate and bitumen of different types. Stiffness modulus (ITSM) and Marshall stability (MS) and quotient (MQ) were assumed as mechanical parameters to analyze and predict. The ANN modeling approach was characterized by multiple layers, the k-fold cross validation (CV) method, and the positive linear transfer function. The effectiveness of such an approach was verified in terms of the coefficients of correlation ( R ) and mean square errors; in particular, R values were within the range 0.965 – 0.919 in the training phase and 0.881 – 0.834 in the CV testing phase, depending on the predicted parameters.

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A Machine Learning Approach for the Simultaneous Prediction of Dynamic Modulus and Phase Angle of Asphalt Concrete Mixtures

Rondinella,

Daneluz,

Hofko

et al. 2023

Communications in Computer and Information Science

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Computational analysis of the creep behaviour of bituminous mixtures

Cited by 22 publications

References 14 publications

Investigation on Microstructural Damage Properties of Asphalt Mixture Using Linear and Damage-Coupled Viscoelastic Model

Investigation on Microstructural Damage Properties of Asphalt Mixture Using Linear and Damage-Coupled Viscoelastic Model

Stiffness Modulus and Marshall Parameters of Hot Mix Asphalts: Laboratory Data Modeling by Artificial Neural Networks Characterized by Cross-Validation

A Machine Learning Approach for the Simultaneous Prediction of Dynamic Modulus and Phase Angle of Asphalt Concrete Mixtures

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