A numerical benchmark for system identification under operational and environmental variability

Abstract

Structural Health Monitoring (SHM) has been experiencing a very rapid growth during last decades, with a wide range of methods developed to support decisions for maintenance planning over a broad spectrum of operational and environmental conditions. Despite this progress, performance evaluation of various approaches is usually carried out on different case studies, rendering side-by-side comparison difficult. This contribution presents a numerical benchmark for system identification under changing environmental and operational conditions. The considered system is modelled with an open access Finite Element code, which is supplemented with a Graphical User Interface (GUI) and enables the extraction of modal properties and dynamic response data for a number of predefined damage patterns and operational as well as environmental scenarios. This benchmark, generated as part of COST Action TU1402 on Quantifying the Value of Information, is to serve as a reference case study for validation of decision-making tools relying on the Value of Information.