PROBABILISTIC BRIDGE STRUCTURE CONDITION ASSESSMENT AND LOAD CARRYING CAPACITY PREDICTION [ 2004-02-26 - 2007-02-26 ]

Research Grant

Researchers: Dr Andrew Deeks (Chief Investigator) ,  Hong Hao (Chief Investigator) ,  Miss Erica Smith (Partner Investigator) ,  Mr Adam Lim (Partner Investigator) ,  Mr Robert Scanlon (Partner Investigator)

Brief description PROBABILISTIC BRIDGE STRUCTURE CONDITION ASSESSMENT AND LOAD CARRYING CAPACITY PREDICTION. Bridge failures have occasionally been reported around the world. Condition assessment of bridges is vital to maintain their safety. It is difficult to assess quantitatively the deterioration and damage using traditional methods. Vibration-based methods are very sensitive to noise in vibration measurement and error in finite element modelling. This project will study the effects of measurement noises and finite element model errors on bridge condition assessment, and develop improved techniques for predicting load carrying capacities of bridges. The technique developed will be applied to Main Roads WA bridges, will also be applicable to the assessment of other types of structures.

Funding Amount $297,997

Funding Scheme Linkage Projects

View this grant in the ARC Data Portal