In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

Structural health monitoring (SHM) is critical to maintaining safe and reliable civil
infrastructure, but the optimal design of an SHM sensing system, ie, optimal sensor …

Recently, new variants of non-systematic satisfiability logic were proposed to govern
Discrete Hopfield Neural Network. This new variant of satisfiability logical rule will provide …

Optimal sensor placement is one of the important issues in monitoring the condition of
structures, which has a major influence on monitoring system performance and cost. Due to …

Damage localization based on ambient vibration data in combination with finite element
models can be challenging, in particular due to the large number of parameters in the model …

Abstract Information on the condition and reliability of an offshore jacket structure provided
by a vibration-based structural health monitoring system can guide decisions on inspection …

Abstract Model order selection is a fundamental task in subspace identification for estimation
of modal parameters, uncertainty propagation and damage diagnosis. However, the true …

This paper develops a model-assisted approach for determining predictive probability of
detection curves. The approach is “model-assisted,” as the damage-sensitive features are …

The optimal sensor placement is a critical aspect in the structural health monitoring of
structures, as the number and layout of sensors directly impact the quality and usefulness of …

This paper presents a novel Optimal Sensor Placement (OSP) strategy that is dedicated to
model updating problems based on the modified Constitutive Relation Error (mCRE) …