Robust optimal sensor configuration using the value of information
| Autor: | Sergio Cantero‐Chinchilla, Costas Papadimitriou, Juan Chiachío, Manuel Chiachío, Petros Koumoutsakos, Adriano T. Fabro, Dimitrios Chronopoulos |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Technology
Engineering Civil Value of information robust optimization Guided waves Optimal sensor configuration Prediction model error Robust optimization Structural health monitoring Structural health monitoring (SHM) Engineering LOCATION Instruments & Instrumentation Civil and Structural Engineering DAMAGE Science & Technology guided waves structural health monitoring IMPACT DETECTION IDENTIFICATION LOCALIZATION Building and Construction optimal sensor configuration value of information Mechanics of Materials Construction & Building Technology prediction model error PLACEMENT OPTIMIZATION METHODOLOGY |
| Zdroj: | Structural Control and Health Monitoring, 29 (12) |
| ISSN: | 1545-2255 1545-2263 |
| Popis: | Sensing is the cornerstone of any functional structural health monitoring technology, with sensor number and placement being a key aspect for reliable monitoring. We introduce for the first time a robust methodology for optimal sensor configuration based on the value of information that accounts for (1) uncertainties from updatable and nonupdatable parameters, (2) variability of the objective function with respect to nonupdatable parameters, and (3) the spatial correlation between sensors. The optimal sensor configuration is obtained by maximizing the expected value of information, which leads to a cost-benefit analysis that entails model parameter uncertainties. The proposed methodology is demonstrated on an application of structural health monitoring in plate-like structures using ultrasonic guided waves. We show that accounting for uncertainties is critical for an accurate diagnosis of damage. Furthermore, we provide critical assessment of the role of both the effect of modeling and measurement uncertainties and the optimization algorithm on the resulting sensor placement. The results on the health monitoring of an aluminum plate indicate the effectiveness and efficiency of the proposed methodology in discovering optimal sensor configurations. Structural Control and Health Monitoring, 29 (12) ISSN:1545-2255 ISSN:1545-2263 |
| Databáze: | OpenAIRE |
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