Deployment of SHM to bridges Using the Smart Bridge Inspection System
Smart Structural Health Monitoring gives an insight of technological advancements associated to monitoring and evaluation of civil infrastructures especially the long-span bridges. This exclusive technology develops a smart and sustainable system, examines the structural and operation safety concerns of the buildings and bridges, on the basis of which prior information or warnings are issued to address the damages and deterioration of structures. This system helps to avoid the catastrophic collapse and upmarket repair.
This research involves two parts. First part will highlight the deployment of SHM system in case of bridges, while considering the identified prone zones of a structure. It will cover the application of SHM system to bridges, the hierarchy of its workability, analysis of the data retrieved from the smart systems and recommendations for pre-alarm and safety evaluation system. This system will result in Decision Making of strengthening methodologies needed for the structure on the basis of which strengthening design for a portion of bridge will be done, which will be the second part of this research.
Research work is supported by considering a real life problem of an existing old box-girder bridge. Damage detection is the first part of this research for which author will use the data (Stress, Strain, wind speed, Freeze Thaw effects etc.) recorded by using Smart Bridge Inspection System (SBIS), which is a computer aided bridge management that uses the Augmented Reality (AR) integrated with Bridge Information Modeling (BrIM). This research will use the measured data to calculate the modal parameters of bridge structure by using the Peak-Picking method (PP). PP method will help to identify peaks of every measurement, which will give an idea about the modeling of sensor system across the bridge as every peak will be showing the maximum extent of data at a particular location so that location will be a perfect point for installation of sensor. In this way potential zones will be marked where sensors should be installed to monitor the structural health permanently. This model is based on the use 11 different types of sensors (wind velocity and direction sensors, temperature and humidity sensors, acceleration sensors, speed and axle meters, digital camera, temperature sensors, pressure transmitter, displacement sensors, strain sensors, pressure ring, and vibration sensors.) which are recommended to install. Thus, result of this research will be a SHM model that can provide the information of durability of structure, evaluation of structural integrity, Structural reliability analysis and ensure the proper maintenance and planning along with the safe functionality of bridge. This SHM model can also account for the possible reasons of certain damages to structure because when long term data is available then possible variations are the causes of damages. At the end research will also highlight some bridge strengthening techniques while practically carrying out strengthening design of a certain part of above mentioned bridge.
Szerkezet-építőmérnök mesterszak (MSc)
Dr. Koris Kálmán
egyetemi adjunktus, Hidak és Szerkezetek Tanszék