An Autonomous Strain-Based Structural Monitoring Framework for Life-Cycle Analysis of a Novel Structure

摘要: In recent years, developed societies have largely adopted smart systems operating on the basis of information extracted from data. For infrastructure as well, Structural Health Monitoring (SHM) has long advocated a data-driven scheme for facilitating operation and maintenance infrastructure. materializing such goal, this paper demonstrates procedures outcomes SHM framework employed an unconventional structure, namely recently built "Kaeng Krachan" Elephant Shelter at Zurich Zoo, relying deployed set Fiber Bragg Grating (FBG) strain sensors. The structure comprises 80 meter span free-form timber-composite cupola, carried by post-tensioned reinforced concrete (RC) ring. FBG sensors are embedded into ring in close vicinity to critical regions, selected collaboration with design engineers. continuously acquired data is then exploited extraction performance indicators, implementation output-only identification methodologies. To end, non-parametric parametric method, Principal Component Analysis (PCA) versus Vector AutoRegressive (VAR) model, compared. Pre-conditioning predictive model performed "healthy", or undamaged, state misfit between predictions subsequent measurements damage precursor. VAR proves case more robust representation measured strains, when compared against PCA, result its inherent feature memory.