2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes

Area of Science:

• Materials Science
• Computational Mechanics
• Image Processing

Background:

• Accurate asphalt concrete microstructure reconstruction is crucial for reliable numerical analysis.
• Existing methods may not be efficient or sufficiently detailed for complex composite structures.

Purpose of the Study:

• To develop an efficient image processing methodology for asphalt concrete microstructure recognition.
• To simplify the reconstructed geometry for reduced finite element mesh generation costs.
• To validate the methodology through heat flow and elasticity simulations.

Main Methods:

• Image processing for microstructure recognition.
• Three geometry simplification algorithms for reducing computational cost.
• Finite element method (FEM) for solving heat flow and elasticity problems.
• Error analysis to validate mesh solutions.

Main Results:

• An efficient digital reconstruction methodology for asphalt concrete microstructure was established.
• Geometry simplification effectively reduced the cost of finite element mesh generation.
• Numerical simulations demonstrated the effectiveness of the proposed methodology for analyzing material behavior.

Conclusions:

• The developed image processing methodology provides an efficient approach for asphalt concrete microstructure reconstruction.
• The simplification algorithms and FEM analysis offer a reliable framework for composite material analysis.
• This methodology is adaptable for digital reconstruction of other materials with similar microstructures.