Micromechanical Prediction Model of Viscoelastic Properties for Asphalt Mastic Based on Morphologically Representative Pattern Approach

Joint Authors

Yang, Xu
Wang, Zhichen
Guo, Naisheng
Wang, Shuang

Source

Advances in Materials Science and Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-06-28

Country of Publication

Egypt

No. of Pages

12

Abstract EN

This paper is devoted to the introduction of physicochemical, filler size, and distribution effect in micromechanical predictions of the overall viscoelastic properties of asphalt mastic.

In order to account for the three effects, the morphologically representative pattern (MRP) approach was employed.

The MRP model was improved due to the arduous practical use of equivalent modulus formula solution.

Then, a homogeneous morphologically representative model (H-MRP) with the explicit solution was established based on the homogenization theory.

Asphalt mastic is regarded as a composite material consisting of filler particles coated structural asphalt and free asphalt considering the physicochemical effect.

An additional interphase surrounding particles was introduced in the H-MRP model.

Thus, a modified H-MRP model was established.

Using the proposed model, a viscoelastic equation was derived to predict the complex modulus and subsequently the dynamic modulus of asphalt mastic based on the elastic-viscoelastic correspondence principle.

The dynamic shear rheological tests were conducted to verify the prediction model.

The results show that the predicted modulus presents an acceptable precision for asphalt mastic mixed with 10% and 20% fillers volume fraction, as compared to the measured ones.

The predicted modulus agrees reasonably well with the measured ones at high frequencies for asphalt mastic mixed with 30% and 40% fillers volume fraction.

However, it exhibits underestimated modulus at low frequencies.

The reasons for the discrepancy between predicted and measured dynamic shear modulus and the factors affecting the dynamic shear modulus were also explored in the paper.

American Psychological Association (APA)

Wang, Zhichen& Guo, Naisheng& Yang, Xu& Wang, Shuang. 2020. Micromechanical Prediction Model of Viscoelastic Properties for Asphalt Mastic Based on Morphologically Representative Pattern Approach. Advances in Materials Science and Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1129190

Modern Language Association (MLA)

Wang, Zhichen…[et al.]. Micromechanical Prediction Model of Viscoelastic Properties for Asphalt Mastic Based on Morphologically Representative Pattern Approach. Advances in Materials Science and Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1129190

American Medical Association (AMA)

Wang, Zhichen& Guo, Naisheng& Yang, Xu& Wang, Shuang. Micromechanical Prediction Model of Viscoelastic Properties for Asphalt Mastic Based on Morphologically Representative Pattern Approach. Advances in Materials Science and Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1129190

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1129190