Enhanced Methodology for Building Surface Inspection Using Infrared Thermography and Numerical Simulation

This study presents an advanced methodology for assessing building surfaces by integrating infrared thermography (IRT) with ANSYS Fluent numerical simulation.IRT was employed to gather thermal characterization data of building surfaces under varying environmental conditions, comparing structures in both campus and urban settings.Subsequently, a threedimensional heat transfer model was developed using ANSYS Fluent to simulate the thermal properties of building surfaces under different operational scenarios and validate the experimental findings.The analysis investigated the effects of building surface size, depth, and positioning on thermal insulation efficiency.Experimental results indicated that insulation distribution on campus building surfaces appeared more dispersed under IRT, suggesting a higher likelihood of thermal anomalies.Numerical simulations with ANSYS Fluent demonstrated that increasing the surface area of buildings enhances resistance to heat transfer, thereby diminishing the insulation effectiveness.This study provides a comprehensive performance assessment approach by seamlessly combining experimental testing with numerical simulation, offering novel insights and methodologies for building surface inspection and evaluation.