Digital Twin Model for Predicting Hygrothermal Performance of Building Materials from Moisture Permeability Tests

Area of Science:

• Building Science
• Material Science
• Civil Engineering

Background:

• Moisture transport in building materials impacts durability and thermal performance.
• Traditional and modern wall materials exhibit varied moisture permeability.
• Autoclaved aerated concrete (AAC) is susceptible to moisture degradation due to its properties.

Purpose of the Study:

• To experimentally investigate moisture permeability in various building materials.
• To develop and validate a digital twin for simulating AAC hygrothermal behavior.
• To enhance the design of durable and moisture-resistant building envelopes.

Main Methods:

• Experimental analysis of vapor diffusion and capillary transport using gravimetric and hygrometric methods.
• Selection of AAC for detailed numerical modeling based on experimental data.
• Development of a digital twin incorporating advanced moisture transport equations and real-world variables.

Main Results:

• Experimental data provided insights into moisture transport mechanisms in different materials.
• The digital twin showed strong agreement with experimental data after calibration.
• The model reliably predicted moisture behavior under various environmental conditions.

Conclusions:

• Coupling experimental data with digital modeling offers a robust tool for assessing AAC performance.
• The integrated approach aids in predicting degradation risks and optimizing material selection.
• This methodology improves the design of moisture-resistant and durable building envelopes, especially in humid climates.