Study of Concrete Strength and Pore Structure Model Based on Grey Relation Entropy

Area of Science:

• Materials Science
• Civil Engineering
• Statistical Mechanics

Background:

• Concrete compressive strength is significantly influenced by its internal pore structure.
• Existing models often lack precision in quantifying the impact of specific pore characteristics.
• Understanding pore size sensitivity is crucial for optimizing concrete performance.

Purpose of the Study:

• To apply Grey Relation Entropy (GRE) theory for analyzing sensitive pore sizes in concrete.
• To develop a revised model for predicting concrete compressive strength based on pore structure sensitivity.
• To validate the proposed model against experimental data.

Main Methods:

• Utilized Grey Relation Entropy (GRE) theory to identify key pore size parameters.
• Developed a revised model incorporating a sensitivity coefficient for pore structure.
• Calculated concrete compressive strength using the revised model.
• Compared model predictions with experimental results.

Main Results:

• GRE effectively identified sensitive pore sizes affecting concrete strength.
• The revised model demonstrated satisfactory agreement with experimental compressive strength values.
• The proposed model showed a larger correlation coefficient than existing methods.

Conclusions:

• The revised model, based on GRE, provides a more accurate prediction of concrete compressive strength.
• Sensitivity analysis of pore structure is a valuable approach for concrete material design.
• This method offers enhanced predictive capabilities for concrete performance evaluation.