Impedance based sensor technology to monitor stiffness of biological structures

Venu Gopal Madhav Annamdas; Kiran Kishore Kumar Annamdas

doi:10.1117/12.849857

24 April 2010 Impedance based sensor technology to monitor stiffness of biological structures

Venu Gopal Madhav Annamdas, Kiran Kishore Kumar Annamdas

Proceedings Volume 7673, Advanced Environmental, Chemical, and Biological Sensing Technologies VII; 76730V (2010) https://doi.org/10.1117/12.849857
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

In countries like USA or Japan it is not so uncommon to have wooden structures in their homes. However, metals and its alloys are the most widely used engineering materials in construction of any military or civil structure. Revisiting natural disasters like the recent Haiti earthquake (12 Jan 2010) or Katrina (cyclones) reminds the necessity to have better housing infrastructure with robust monitoring systems. Traditionally wood is accepted as excellent rehabilitation material, after any disaster. The recycling materials extracted from in-organic, biodegradable wastes, also can be used for rehabilitation. The key issue which dampens the life of these rehabilitated structure including green materials (like wood) is unnecessary deposits (nails, screws, bolts etc)/damages due to insect attack. Thus, a few health monitoring techniques have emerged in the recent past. Electromechanical Impedance technique is one such technique, which is simple but robust to detect variations in the integrity of structures. In this paper, impedance based piezoceramic sensor was bonded on wooden sample, which was used to study changes due to metallic (steel nails) deposits at various locations. A study of weight deposits on aluminum plate was used for comparisons.

Citation Download Citation

Venu Gopal Madhav Annamdas and Kiran Kishore Kumar Annamdas "Impedance based sensor technology to monitor stiffness of biological structures", Proc. SPIE 7673, Advanced Environmental, Chemical, and Biological Sensing Technologies VII, 76730V (24 April 2010); https://doi.org/10.1117/12.849857

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