Comparison of coverage areas of two different sensor network arrangements for structural health monitoring of plate-like structures

Mehrdad Ghyabi; Ehsan Dehghan-Niri

doi:10.1117/12.2514402

1 April 2019 Comparison of coverage areas of two different sensor network arrangements for structural health monitoring of plate-like structures

Mehrdad Ghyabi, Ehsan Dehghan-Niri

Author Affiliations +

Proceedings Volume 10972, Health Monitoring of Structural and Biological Systems XIII; 1097212 (2019) https://doi.org/10.1117/12.2514402
Event: SPIE Smart Structures + Nondestructive Evaluation, 2019, Denver, Colorado, United States

Abstract

In the last decade, Lamb wave based structural health monitoring (SHM) has been gaining attention for real-time monitoring of plate-like structures. Although the capabilities of Lamb wave in detecting cracks in metallic plates have been studied and proven, there is not a systematic method explaining how to predict network coverage of a sparse array of sensors to send and receive Lamb waves. In this study, initial steps are taken to simulate and predict coverage area of simple sensor network configurations for detecting a specific type of under-surface crack. Computer models are developed for Lamb wave propagation simulation using Finite Element Method (FEM). Using the models, an initial framework is developed to estimate coverage area of a sensor network to detect one type of under-surface crack. Using the framework, coverage area of three different simple sensor arrangements to detect horizontal cracks in an aluminum plate is estimated. The first arrangement is a single transducer, whereas the two other arrangements consist of two and three transducers/sensors respectively. Coverage area is increased as number of transducers in the sensor network is increased.

Citation Download Citation

Mehrdad Ghyabi and Ehsan Dehghan-Niri "Comparison of coverage areas of two different sensor network arrangements for structural health monitoring of plate-like structures ", Proc. SPIE 10972, Health Monitoring of Structural and Biological Systems XIII, 1097212 (1 April 2019); https://doi.org/10.1117/12.2514402

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