MA, ZHAOYUN
(2017)
Labview Implementation of the Electromechanical Impedance (EMI) Method as Part of an Integrated Structural Health Monitoring (SHM) System.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
There is an escalating interest in monitoring sensing system to assess the health of engineering structures in real-time. A wide body of literature demonstrated that structural health monitoring (SHM) methods based on acoustic emission (AE), electromechanical impedance (EMI), and guided ultrasonic waves (GUWs) can assess the health of simple waveguides and a certain number of complex structures. AE, EMI, and GUW have advantages and limitations. To boost the advantages and to overcome the shortcomings, a group at the University of Pittsburgh is working on a multi-modal integrated SHM where the three methods are driven by a single centralized hardware working under LabView environment. The suite mimics the sensory integration and processing of the human body, where the stimuli from the five sensory organs are transmitted by the nerves to the brain.
In this thesis, we present the integration of the EMI and the GUW-based methods in LabView and the analysis of the EMI data. A large flat aluminum plate was monitored with an array of six transducers and damage was simulated by adding small masses to the plate. Then, the GUW and AE waveforms were analyzed using a common statistical index. The results presented in this thesis show that the EMI enable the detection of the simulated damage.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
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Date: |
1 February 2017 |
Date Type: |
Publication |
Defense Date: |
8 November 2016 |
Approval Date: |
1 February 2017 |
Submission Date: |
1 December 2016 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Number of Pages: |
50 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Swanson School of Engineering > Civil and Environmental Engineering |
Degree: |
MS - Master of Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
LabView; Electromechanical Impedance; Damage Metric; Integrated SHM system |
Date Deposited: |
01 Feb 2017 16:46 |
Last Modified: |
02 Feb 2017 06:15 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/30458 |
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