Development of an Integrated Deterioration Method for Long-Term Bridge Performance Prediction

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Author(s)
Primary Supervisor
Lee, Jaeho
Guan, Hong
Other Supervisors
Loo, Yew-Chaye
Year published
2013
Metadata
Show full item recordAbstract
The efficient use of public funds for the structural integrity of bridge networks requires the implementation of an effective Bridge Management System (BMS). However, for long-term planning strategies in current asset management practice, there are some fundamental shortcomings associated with the health status of bridge elements. Although extensive research have been carried out to improve the overall quality of BMS outcomes, existing deterministic and probabilistic/stochastic deterioration modelling techniques are still limited in scope and application. This is attributable to a number of reasons including the lack of ...
View more >The efficient use of public funds for the structural integrity of bridge networks requires the implementation of an effective Bridge Management System (BMS). However, for long-term planning strategies in current asset management practice, there are some fundamental shortcomings associated with the health status of bridge elements. Although extensive research have been carried out to improve the overall quality of BMS outcomes, existing deterministic and probabilistic/stochastic deterioration modelling techniques are still limited in scope and application. This is attributable to a number of reasons including the lack of usable condition rating data due to late uptake in BMS implementation, and incompatible inspection records format. The situation is further aggravated by the randomness of data distribution related to various maintenance history and inconsistent bridge inspection processes.
View less >
View more >The efficient use of public funds for the structural integrity of bridge networks requires the implementation of an effective Bridge Management System (BMS). However, for long-term planning strategies in current asset management practice, there are some fundamental shortcomings associated with the health status of bridge elements. Although extensive research have been carried out to improve the overall quality of BMS outcomes, existing deterministic and probabilistic/stochastic deterioration modelling techniques are still limited in scope and application. This is attributable to a number of reasons including the lack of usable condition rating data due to late uptake in BMS implementation, and incompatible inspection records format. The situation is further aggravated by the randomness of data distribution related to various maintenance history and inconsistent bridge inspection processes.
View less >
Thesis Type
Thesis (PhD Doctorate)
Degree Program
Doctor of Philosophy (PhD)
School
Griffith School of Engineering
Copyright Statement
The author owns the copyright in this thesis, unless stated otherwise.
Item Access Status
Public
Subject
Bridge Management System
Structural integrity
Bridge Performance Prediction
Bridge deterioration