Civil Engineering ETDs

Publication Date

Fall 12-16-2023

Abstract

Asphalt Concrete (AC) is a cross-anisotropic viscoelastic material. This study has developed a methodology to backcalculate the cross-anisotropic properties of the AC layer from the Falling Weight Deflectometer (FWD) sensor and pavement response data from embedded sensors inside a pavement section. This study has also developed a two-way coupled Multiscale Finite Element Model (MsFEM) with Phase Field Fracture (PFF) to study the microstructural heterogeneity and damage of the AC layer based on the actual field loadings. A Finite Difference Time Domain (FDTD) and Machine learning-based backcalculation algorithm were developed to determine the layer thickness and dielectric constant from air-coupled Ground Penetrating Radar (GPR) data. Using the developed methodologies and algorithms, it is possible to determine the in-situ cross- anisotropic viscoelastic properties of AC using non-destructive tests, determine the increment of strain at the microstructure RVE compared to the macroscale AC, and accurately predict the thickness of the AC layer.

Keywords

Asphalt Concrete, Viscoelasticity, Heterogeneity, Finite Element Model, FWD, GPR

Document Type

Dissertation

Language

English

Degree Name

Civil Engineering

Level of Degree

Doctoral

Department Name

Civil Engineering

First Committee Member (Chair)

Rafiqul A Tarefder

Second Committee Member

Tang-Tat Ng

Third Committee Member

Yu-Lin Shen

Fourth Committee Member

Fernando Moreu

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