Structural health monitoring plays an increasingly significant role in detecting damages for
large and complex structures to ensure their serviceability and sustainability. Optimal sensor …

Output-only modal identification has seen significant activity in recent years, especially in
large-scale structures where controlled input force generation is often difficult to achieve …

Bayesian methods are a powerful tool in many areas of science and engineering, especially
statistical physics, medical sciences, electrical engineering, and information sciences. They …

In a full Bayesian probabilistic framework for “robust” system identification, structural
response predictions and performance reliability are updated using structural test data 𝒟 by …

This study explores an optimal sensor placement approach for reconstructing full-field
dynamic responses using a set of basic vectors obtained from high-fidelity data. The novelty …

Theoretical and computational issues arising in the selection of the optimal sensor
configuration for parameter estimation in structural dynamics are addressed. The information …

The problem of estimating the optimal sensor locations for parameter estimation in structural
dynamics is re-visited. The effect of spatially correlated prediction errors on the optimal …

The concept of robust reliability is defined to take into account uncertainties from structural
modeling in addition to the uncertain excitation that a structure will experience during its …

The performance of a monitoring system for civil buildings and infrastructures or mechanical
systems depends mainly on the position of the deployed sensors. At the current state, this …

Optimal sensor placement (OSP) technique plays a key role in the structural health
monitoring (SHM) of large-scale civil infrastructures. This paper outlines an overview of …