z-logo
open-access-imgOpen Access
Structural Health Monitoring Through Advanced Model Updating Incorporating Uncertainties
Author(s) -
Arachchige Tharindu Lakshitha Kodikara
Publication year - 2017
Publication title -
queensland university of technology
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.5204/thesis.eprints.110811
Subject(s) - serviceability (structure) , structural health monitoring , benchmark (surveying) , probabilistic logic , computer science , engineering , reliability engineering , data mining , artificial intelligence , civil engineering , structural engineering , geography , geodesy
This research developed comprehensive model updating systems for real structures including a hybrid approach which enhanced existing deterministic model updating techniques by providing measures to incorporate uncertainties in a computationally efficient way compared to probabilistic model updating approaches. Further, utilizing the developed hybrid approach a methodology was developed to assess the deterioration of reinforced concrete buildings under serviceability loading conditions. The developed methodologies in the research were successfully validated utilizing two real benchmark structures at Queensland University of Technology equipped with continuous monitoring systems

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom