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RISStructural Health Monitoring Sensor Network Optimization through Bayesian Experimental Design
Publisher: American Society of Civil Engineers
Abstract: Structural health monitoring (SHM) may be exploited to estimate the mechanical properties of existing structures and check for potential damage. Among commonly used methodologies for property characterization, the Bayesian ...
On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, we provide a comprehensive definition and classification of various sources of uncertainty within the fields of structural dynamics, system identification, and structural health monitoring (SHM), with a ...
Robust-to-Uncertainties Optimal Design of Seismic Metamaterials
Publisher: American Society of Civil Engineers
Abstract: Metamaterials, which draw their origin from a special class of structured (periodic) materials characterized by a dynamic filtering effect, have recently emerged as a prospective means for structural seismic protection. ...
An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Monitoring the condition of rotating machinery offers a salient tool for predictive maintenance of rolling elements subjected to continuous working loads, wear, fatigue, and degradation. In this study, an enhanced computational ...