Bayesian model updating of historic masonry towers through dynamic experimental data

• DOI: 10.1016/j.proeng.2017.09.267
• Publication Date: 2017-09-12T16:21:04Z
• Authors: G. Bartoli; M. Betti; L. Facchini; A.M. Marra; S. Monchetti
• Keywords: Seismic risk

The numerical model of existing masonry buildings, especially in case monumental constructions, must consider the unavoidable lack knowledge and consequent effects uncertain parameters (material properties, geometry, boundary conditions, etc.). In this work, a Bayesian approach is proposed to update finite element towers by using experimental data. San Gimignano (Italy) were considered as an effective study test thanks availability both geometric data dynamic measurements. possibility obtain reliable relevant also from point view seismic risk assessment, which crucial issue ensure conservation heritage over centuries. fact, capacity demand are strictly dependent on characteristics structure, updating modal properties models plays primary role assessment risk. respect, Bayes' theorem herein employed convert prior distribution elastic modulus E, into posterior (first second natural period). measurement errors accounted for means Gaussian centred measured values periods. addition, modelling uncertainties defined incorporate restraint effect caused neighbouring buildings. oscillating height tower was modelled according lognormal whose interval starts confined buildings top. Particular attention devoted involved procedure define their obtained distributions. achieved results encourage spread approach, already many engineering fields, safeguard cultural heritage. further challenges, methodology will be extended analyses, aiming particular structural typology considered: historic towers.