Reduced Order Multiscale Simulation of Diffuse Damage in Concrete.

Area of Science:

• Civil Engineering
• Materials Science
• Computational Mechanics

Background:

• Concrete structures degrade through microcrack initiation and propagation, leading to failure.
• Early detection of microcracking is crucial for timely maintenance and cost reduction.
• Understanding failure precursors aids in developing effective precautionary measures.

Purpose of the Study:

• To propose a reduced-order multiscale model for simulating microcracking-induced damage in concrete at the mesoscale.
• To provide a computational tool for early-stage characterization of concrete degradation.
• To enhance the prediction of structural integrity in concrete elements.

Main Methods:

• A two-scale computational methodology was employed to simulate microcrack propagation.
• A realistic mesoscale concrete specimen with aggregates and mortar matrix was generated.
• Continuum micromechanics and fracture mechanics were synthesized to model microcrack growth.
• Model order reduction was achieved using a clustering technique.

Main Results:

• The model successfully simulates microcrack initiation and propagation in concrete at the mesoscale.
• Predictions from the reduced-order model were calibrated and validated against laboratory uniaxial compression tests.
• The computational approach provides insights into the early stages of concrete damage.

Conclusions:

• The proposed reduced-order multiscale model is effective for simulating microcracking in concrete.
• This methodology aids in the early identification and characterization of concrete degradation precursors.
• The findings contribute to improved structural health monitoring and maintenance strategies for concrete structures.