TITLE:
An Approach for Damage Identification and Optimal Sensor Placement in Structural Health Monitoring by Genetic Algorithm Technique
AUTHORS:
U. Muthuraman, M. M. Sai Hashita, N. Sakthieswaran, P. Suresh, M. Raj Kumar, P. Sivashanmugam
KEYWORDS:
SHM, Controlled Area Network, MLP-AGA, Sensor Placement
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.6,
May
17,
2016
ABSTRACT: Civil engineering
structures are constructed for strength, serviceability and durability. The
structures thus constructed involve huge investment and labour work. In order
to protect the structure from various damages, periodic monitoring of
structures is necessary. Hence Structural Health Monitoring (SHM) plays a vital
role in diagnosing the state of the structure at every moment during its life
period. For this purpose, sensors are deployed in the structures for its efficient
health monitoring. Sensors cannot be deployed at random locations of the
structure. They have to be located at those points which reflect the damage. In
this study, a 3-storey and a 4-storey building are taken and Modal Strain
Energy (MSE) is used for finding the initial locations of sensors. The number
of sensors obtained is then optimized using Genetic Algorithm (GA) technique.
Finally damages are induced in certain locations of the structure and a damage
detection technique called as “Flexibility Matrix Based Technique (FMBT)” is
introduced for damage localization in the structure.