2nd World Congress and Exhibition on Construction and Steel Structure
Las Vegas, USA
Concordia University, Canada
Title: Managing structural health monitoring data using building information modeling
Biography: Mojtaba Valinejadshoubi
One of the issues in structural health monitoring (SHM) and any other monitoring systems such as indoor air quality monitoring have to deal with huge amount of original raw data as well as all post processed data which can add up to hundreds of Gigabytes or even more. Therefore, effective data management is a significant task which cannot be implemented properly except by using appropriate tools. Building information modeling (BIM) has emerged as a powerful data management tool by obtaining, sorting, storing, sharing and recalling data and provide a digital environment of them. Using BIM in monitoring systems such as SHM will be an effective way to solve their data management issue. Making BIM dynamic by recording the real time SHM data will be effective for engineers, facility managers and owners by providing updated information about the ongoing health and state of various parts of the building. The main objective of this study is to focus on using BIM in managing the data of monitoring systems in particular in SHM system. For this purpose, a four story office building is modelled in Revit architecture and Revit structure in this study to demonstrate the feasibility of creating and visualizing the information about the sensors installed in the structure for the purpose of structural health and air quality monitoring. Also, the BIM model is made dynamic by linking relevant external resources related to the sensors such that the sensor data can be managed in real time and the information related to the sensors is up to date. This research lays the foundation for further implementation of using BIM in SHM purpose.