Start Date

2016 12:00 AM

Description

Continuous monitoring for damage detection and localization on large fluid filled pipe-like structures is needed. To address this problem we propose the use of a Macro Fiber Composite (MFC) sensor to generate the first order torsional mode and to detect scatter signals from the discontinuities by an EMAT sensor positioned in various locations on the surface of the structure to simulate an array of sensors. Signals are post-processed with a developed algorithm based on entropy and arrival time. Numerical results were obtained for simulated signals and experimentally tested on a stainless steel pipe A-36 (43.6 and 48.2 mm in inner and outer diameter respectively). It was found that it is possible to locate an artificial defect by identifying the torsional modes and incorporating this information in the developed entropy algorithm of the simulated sensor array.

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Investigation on the Damage Localization in a Pipe Using Torsional Guided Waves and Sensor Array Reconstruction Techniques

Continuous monitoring for damage detection and localization on large fluid filled pipe-like structures is needed. To address this problem we propose the use of a Macro Fiber Composite (MFC) sensor to generate the first order torsional mode and to detect scatter signals from the discontinuities by an EMAT sensor positioned in various locations on the surface of the structure to simulate an array of sensors. Signals are post-processed with a developed algorithm based on entropy and arrival time. Numerical results were obtained for simulated signals and experimentally tested on a stainless steel pipe A-36 (43.6 and 48.2 mm in inner and outer diameter respectively). It was found that it is possible to locate an artificial defect by identifying the torsional modes and incorporating this information in the developed entropy algorithm of the simulated sensor array.