Bayesian approach to fuse NDT data to find dynamic elastic modulus of granite stone

Abstract

The main objective of the paper is to propose a criterion for combining NDT test data coming from sonic and ultrasonic tests to evaluate dynamic elastic modulus of granite stone. Bayesian updating allows us to combine initial information with new information to provide more realistic results. The paper fuses NDT test data gathered from sonic and ultrasonic tests having uncertainties in velocity, Poisson ratio and density values of granite stone under consideration using Bayesian statistics into a normal probabilistic distribution plot of dynamic elastic modulus. Many times especially in case of heritage buildings destructive tests count be performed because of minimum intrusion guidelines, so one has to rely on NDT test data to gain knowledge about the mechanical parameters of the building.