A new method for earthquake-induced damage identification in historic masonry towers combining OMA and IDA

Abstract This paper presents a novel method for rapidly addressing the earthquake-induced damage identification task in historic masonry towers. The proposed method, termed DORI, combines operational modal analysis (OMA), FE modeling, rapid surrogate modeling (SM) and non-linear Incremental dynamic (IDA). While OMA-based Structural Health Monitoring methods using statistical pattern recognition are known to allow detection of small structural damages due earthquakes, even far-field ones moderate intensity, combination SM IDA-based localization quantification is here proposed. monumental bell tower Basilica San Pietro located Perugia, Italy, considered validation method. being continuously monitored since 2014, experienced main shocks 2016 Central Italy seismic sequence on-site vibration-based monitoring system detected changes global behavior after earthquakes. In paper, experimental vibration data (continuous records), models structure used post-earthquake exploiting an ideal subdivision into meaningful macroelements. Results linear numerical (SM IDA, respectively) successfully combined this aim continuous exchange information between physical reality (monitoring data) virtual (FE models) effectively enforces Digital Twin paradigm. identified by both data-driven model-based strategies finally confirmed in-situ visual inspections.