Objectives:

Development of a robust methodology for health assessment of buildings, using data sensed and processed through wireless sensors.

The Structural Health Monitoring (SHM) process involves the observation of a system over time using periodically sampled dynamic response measurements from an array of sensors, the extraction of damage-sensitive features from these measurements and statistical analysis of these features to determine the current state of system health. In our country, traditionally, safety evaluation of buildings is being carried out through periodic visual inspection and some kind of non-destructive testing. The need for quantitative global damage detection methods that can be applied to complex structures has led to research into SHM methods that examine changes in the vibration characteristics of the structure. Structural health monitoring of buildings using WSN is important because it can greatly reduce routine maintenance and inspection costs, while providing an increased level of safety by damage identification in structural members.

Scope of work:

scope of the work comprised of the following Tasks:
T-5.1: Development of Fiber Bragg Grating (FBG) Sensors and Interrogator System for Buildings
T-5.2: Development of Wireless Sensors, Interrogator System and technique for wireless link for Buildings
T-5.3: Design & Development of ARM and FPGA Processor and Sensor Placement Optimization
T-5.4: Development of statistical/artificial intelligence (AI) models to quantify the damage state of buildings
T-5.5: Collection & validation of data using developed sensor, numerical modeling, model updation and field implementation for building system


Deliveribles:

  • Fully packaged and deployable FBG sensors for SHM application in buildings
  • Fully packaged and deployable MEMS sensors for SHM application in buildings
  • Application specific sensor interrogation system for Health monitoring of building
  • WSN system for analyzing physical parameters of buildings
  • Development of algorithm for identifying the location and the type of damage in building
  • Methodology for health monitoring of buildings using wireless sensor network