Updating mechanical properties of two-leaf stone masonry walls through experimental data and Bayesian inference

Abstract

The work presents the study carried out to build a database of mechanical properties related to the most recurring two-leaf stone masonry wall typologies. The main objectives of this study are: (1) to perform a systematic review of experimental studies (2) to apply a data fusion technique, based on a Bayesian framework, to update the selected mechanical parameter using the information stored in the final database. The results obtained are compared to the ranges proposed in current standard and guidelines. Therefore, the outcomes presented in this work can provide a valuable support in practice-oriented engineering activities addressing the assessment of existing buildings.