PSI - Issue 78

Michele Mattiacci et al. / Procedia Structural Integrity 78 (2026) 1159–1166

1166

the classification of its underlying mechanism through model selection criteria such as the Bayesian Information Criterion. While these methodologies di ff er in their assumptions, implementation requirements, and operational scope, they exhibit important synergies. In particular, the cointegration-based strategy, initially developed for anomaly detection, shows strong potential as a preprocessing tool for compensating environmental and operational variability in the model-based framework, thus enhancing the accuracy and robustness of inverse calibration procedures. It is important to note that the present work is conceptual in nature. Quantitative performance comparisons and numerical validations will be presented in future works, based on exper imental data collected from an instrumented full-scale masonry structure. Such investigations will aim to substantiate the respective advantages and limitations of the two strategies and to explore the benefits of their potential integration into a unified SHM framework. The Authors from the University of Perugia gratefully acknowledge the support from the Italian Ministry of Uni versity and Research (MUR) through the FIS-2021 project “Smart Masonry enabling SAFEty-assessing STructures after earthquakes (SMS-SAFEST)” (Project code FIS00001797). The first author also acknowledges the FABRE Con sortium for funding and supporting the research activity at Princeton University. Dr. Meoni further acknowledges the sponsorship of the European Union - NextGenerationEU and the University of Perugia for sponsoring his research activity through the project Vitality, framed within the Italian Ministry of University and Research (MUR) National Innovation Ecosystem grant ECS00000041 - VITALITY. Adam, J.M., Betti, M., Clementi, F., Ivorra, S., et al., 2022. 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