Damage assessment in masonry structures for service life prediction is performed using multiple nondestructive techniques. The NDT data collected using various techniques and sensors are heterogeneous and are crucial for structural health monitoring. McCann and Forde [14] in their review paper summarised several ND techniques used for masonry constructions. Several researchers have developed empirical correlations between compressive strength with data from NDTs. Several studies have used regression analyses to obtain the correlations between compressive strength and mechanical parameters to quantify the strength of buildings. For example, Ramos et al. [15] fused ultrasonic, sonic, and direct core tests to determine the elastic modulus of masonry materials used in a church, which is an indicator for material degradation. Mishra et al. [16] used natural frequencies obtained through experimental modal analysis as a NDT technique to capture the extent and location of damages on the cantilever beam. Moreover, other ND techniques, such as rebound hammer (RH) [17], ultrasonic pulse velocity (UPV) [18], flat-jack method [19], impact-echo method [20], ground-penetrating radar [21], ferroscan testing [22], infrared thermography [23], and laser scanning [24], are commonly employed by various researchers. The integration of diverse sources of data to predict structural damages is a challenging task. This study integrates various ND techniques to estimate the compressive strength of brick-mortar masonry. The integration of various ND techniques reduces uncertainty in the estimation of required parameters [25,26,27].
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