Using Smart Phone Sensors to Undergo Structural Health Monitoring in RCC Structures

EasyChair Preprint 3536

Abstract

The engineering structures may fail due to the damage in material or change in their geometric properties. Thus the main aim of SHM is to perform as an alert system or alarm at the time of initial stages of damages and avoid further propagation of failure inside the structure. To determine the health of an infrastructure, structural auditing is done by standard non-destructive and destructive tests which are in the site, are instantaneous and are relied by the engineers. Due its instantaneous nature, this method maybe redundant when it is tested for determining the service life of a structure or its member (as the use of structure is continuous). For this, accelerometer sensor from the smart phone is used and data is recorded and stored in memory device of the smart phone. To record the data, a residential building which was reported weakening of slab member is taken as a case study and smart phone is placed over a desired member surface. Sensor is recorded to its maximum sensitivity and then levelled before using it. Then the data is collected from the memory storage in the form of accelerations (m/s^2) and statistical data is compiled from it. In general when accelerometer levelled it reads as (1,1,1) towards x, y, z axis. When the sensor moves, it changes it acceleration towards three different axis and the resultant acceleration is calculated. Standard deviation of the sensor data came out to be 0.004 and member was deflecting with 0.006 m/s^2 which is very low, thus it was concluded that the structure is safe in service condition. As smart phone can improve great mobility, better accessibility, high memory storage capacity, ease of use, low in cost and highly sensitive to the movement. Hence, it is an ideal choice to use smart phone as a sensor for structural health monitoring of RCC structure.

Keyphrases: Accelerometer, Reinforced Concrete Structures(RCC), Structural Health Monitoring(SHM), smart phone sensor, standard deviation

@booklet{EasyChair:3536,
  author    = {Swapnil Deshbhratar and Vikas Varekar},
  title     = {Using Smart Phone Sensors to Undergo Structural Health Monitoring in RCC Structures},
  howpublished = {EasyChair Preprint 3536},
  year      = {EasyChair, 2020}}