Article Sidebar

Download
Statistic
Read Counter : 21

Main Article Content

Abstract

Although corrosion leads to a slight reduction in the structure of an engine, it significantly decreases the mechanical strength and service life of materials. Therefore, maintaining the integrity of structures in corrosive environments is essential to assess their status and prevent damage and costs. This study investigates the ability of the electromechanical impedance method to detect corrosion and study defect dimensions on a cantilever beam using piezoelectric sensors. Traditionally, the Scalar Injury Criterion has been used to diagnose quantitative defects. The diagrams obtained from both the analytical and empirical discussions clearly show that piezoelectric sensors can detect defect dimensions in both scenarios.

Keywords

Corrosive Environment Electromechanical Impedance Metal Corrosion Structural Health

Article Details

License

Copyright (c) 2024 Reserved for Kabul University.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
Naimzad, M. A. (2020). Study on Corrosion Aspects in a Cantilever Beam. Journal of Natural Sciences – Kabul University, 3(2), 25–36. https://doi.org/10.62810/jns.v3i2.154
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Sun, F., Chaudhry, Z., Liang, C., and Rogers, C.A. “Truss Structure Integrity Identification Using PZT Sensor-Actuator,” Journal of Intelligent Material Systems and Structure, V.6, 1995; PP 134-139
  2. Giurgiutiu, V. "Structural Health Monitoring with Piezoelectric Wafer Active Sensors", Academic Press, Burlington, MA. 2008.
  3. Simmers Jr., G.E. „Impedance-based structural health monitoring to detect corrosion‟, Meter’s Thesis, Center for. 2005.
  4. Intelligent Material Systems and Structures, Virginia Polytechnic Institute and State University.
  5. Liang, C., Sun, F. P., and Rogers, C.A. “Coupled Electromechanical Analysis of Adaptive Material System – Determination of Actuator Power Consumption and System Energy Transfer,” Journal of Intelligent Material Systems and Structures. V.5. 1998; pp. 21-20.
  6. Park, G., Sohn, H., Farrar, C., Inman, D. “Overview of Piezoelectric Impedance- Based Health Monitoring and Path. 2003.
  7. Forward,” Shock and Vibration Digest, Vol. 35, No. 6, November 2003, pp. 451-463.
  8. Odegard GM, Gates TS, Nicholson LM, Wise KE. Equivalent continuum modeling of Nano-structured materials. Compos Sci Technol ;62: 2002; Pp1869–80.
  9. Liu YJ, Chen XL. Evaluations of the effective material properties of carbon nanotube-based composites using a nanoscale. 2003.
  10. representative volume element. Mech Mater;35: 2003; 69–81.
  11. Odegard GM, Gates TS, Wise KE, Park C, Siochi EJ. Constitutive modeling of nanotube-reinforced polymer composites. Compos.
  12. Sci Technol 2003;63:1671–87.
  13. Odegard GM, Pipes RB, Hubert P. Comparison of two models of SWCN polymer composites. Compos Sci Technol;64: 2004; 1011–20.
  14. Tserpes KI, Papnikos P. Finite element modelling of single-walled carbon nanotubes. Composites: Part B; 36: 2005; 468–77.
  15. Buryachenko VA, Roy A. Effective elastic moduli of nanocomposites with prescribed random orientation of nanofibers. 2005.
  16. Composites: Part B;36:405–16.
  17. Xiao JR, Gama BA, Gillespie Jr JW. An analytical molecular structural mechanics model for the mechanical properties of. 2005.
  18. carbon nanotubes. Int J Solids Struct ;42:3075–92.