z-logo
open-access-imgOpen Access
Multi-Hazard Assessment of RC Bridges using Unmanned Aerial Vehicle-Based Measurements
Author(s) -
Orkan Özcan,
Okan Özcan
Publication year - 2018
Publication title -
the baltic journal of road and bridge engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 21
eISSN - 1822-4288
pISSN - 1822-427X
DOI - 10.7250/bjrbe.2018-13.412
Subject(s) - pier , bridge (graph theory) , bridge scour , hazard , structural engineering , structural health monitoring , geotechnical engineering , engineering , hazard analysis , marine engineering , environmental science , medicine , chemistry , organic chemistry , aerospace engineering
The structural performance of reinforced concrete bridges is crucial regarding the bridge safety. Monitoring the bridge performance under multihazard effects such as scour, and earthquake becomes even more important. Thus, the scour depth along the piers and piles of bridge substructures has to be measured and tracked consistently in order for reliable multi-hazard bridge behaviour predictions. A practical Unmanned Aerial Vehicle based scour measurement method was proposed to increase the measurement accuracy and reduce the implementation costs. This method has been used in shallow and clear-water riverbeds. The Bogacayi Bridge was selected as the case study located at the Bogacayi River in Antalya, Turkey, since it was exposed to stream and flood, induced scour in the previous years. In the study region, the amount of scour was determined with considerable accuracy, and the scour measurements were used for generating the Three-Dimensional Finite Element model of the bridge. The multi-hazard performance of the bridge was acquired by implementing nonlinear static analysis using pushover curves corresponding to various scour depths concentrated at some of the bridge piers. Therefore, a continuously updateable multi-hazard bridge assessment system was proposed, which was implemented in bridges under scour and earthquake effects, regarding Unmanned Aerial Vehicle based measurements.

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