Ambient vibration‐based finite element model updating of an earthquake‐damaged masonry tower. Issue 5 (28th February 2018)

• Record Type: Journal Article
• Authors: Bassoli, Elisa; Vincenzi, Loris; D'Altri, Antonio Maria; de Miranda, Stefano; Forghieri, Marianna; Castellazzi, Giovanni
• Is Part Of: Structural control and health monitoring. Volume 25:Issue 5(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-02-28
• Subjects: ambient vibration testing -- damaged material -- masonry -- model calibration; Structural engineering -- Periodicals; Structural control (Engineering) -- Periodicals; Automatic data collection systems -- Periodicals; Detectors -- Periodicals; 624.17
• DOI: 10.1002/stc.2150
• Languages: English
• ISSNs: 1545-2255

Abstract

Summary: This paper presents a vibration‐based model updating procedure for historical masonry structures which have suffered severe damage due to seismic events. This allows gathering in‐depth insights on the current condition of damaged buildings, which can be beneficial for the knowledge of their actual structural behaviour and, consequently, for the design of repairing and strengthening interventions. The methodology, based on the experimentally identified modal parameters, is tested on the San Felice sul Panaro medieval fortress, which was heavily damaged by the 2012 Emilia earthquake. The finite element mesh of the structure in its post‐quake condition is generated by means of a nonstandard semi‐automatic mesh generation procedure based on a laser scanner points cloud. Ambient vibration testing is performed on the main tower of the fortress. Mechanical properties of the tower and the level of connections with the rest of the fortress in its current damaged state are investigated. To fully characterize the actual behaviour of the tower in operational condition, mesh elements corresponding to the damaged masonry are identified and different material properties are assigned to them. This allows to account for the effect of damage and cracks, which appeared essential in the calibration process. The updating procedure is carried out by means of an advanced surrogate‐assisted evolutionary algorithm designed for reducing the computational effort.