Essay On PZT Sensors And SHM

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CHAPTER 2 LITERATURE REVIEW The literature review chapter presents critical points regarding current knowledge of PZT sensors and SHM. The existing approach to SHM is discussed and analysis of the PZT technology with statistical indices is included as well. 2.1 Structural Health Monitoring Structural health monitoring (SHM) is defined as the process of implementing a a damage identification strategy for aerospace, civil and mechanical engineering infrastructure. In this case, damage can be defined as changes introduced into a system that adversely affects its current or future performance (Farrar & Worden, 2006). Damage are considered flaws and these flaws originate from the material level. Under certain conditions specific to the specimen alone, the flaws can grow to a point which is undesirable for the material and thus lead to failure. Failure could lead to loss of lives or great economic consequences depending on the degree of the failure. Thus, there is a greater awareness in SHM over the past decade by governments and industries to prevent such unwanted events. There are an increased number of approaches toward SHM in the past decade due to the increased interest. One such effective approach to note would be the statistical pattern recognition paradigm (Farrar, Duffey, Doebling, & Nix, 1999). This approach consists of 4 stages: (a) Operational Evaluation (b) Data Acquisition & Cleansing (c) Feature Selection & Data Compression (d) Statistical Model Development The stage of great interest would be the data acquisition and cleansing stage. This component would comprise of the excitation methods, sensor types and locations as well as other methods of data collection. Aside from this, the time aspect of data collection is a gr... ... middle of paper ... ...D serves as a good characterization for damages in SHM. Changes in the signals obtained can show changes in the structure and is statistically quantified by values. RMSD has been effectively used previously such as between the signatures of two states as the suitable damage index (Guirguitiu and Rogers, 1998). RMSD is widely accepted and used for the estimation of the amount of variation between two signatures (Annamdas, 2012). The formula is given by: The RMSD index reflects the changes in the structure at different stages as the damage propogates along the material. There are limitations to the use of RMSD which include the difficulty in locating the damage and the severity due to the inconsistencies. However, it is capable of predicting cracks and provides statistical patterns in calculating the readings obtained and hence is still a useful tool in EMI for SHM.

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