The investigation of methods to assist decision-makers regarding bridge maintenance, rehabilitation, and restoration activities
Ariaratnam, Samuel T.
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/23367
Description
Title
The investigation of methods to assist decision-makers regarding bridge maintenance, rehabilitation, and restoration activities
Author(s)
Ariaratnam, Samuel T.
Issue Date
1994
Doctoral Committee Chair(s)
Boyer, LeRoy T.
Department of Study
Civil and Environmental Engineering
Discipline
Civil and Environmental Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Civil
Language
eng
Abstract
The ability to predict the deterioration pattern of bridges can assist decision makers in determining when and whether to ignore, refurbish/rehabilitate, or replace a bridge. This dissertation formulates and applies two models, one deterministic and the other probabilistic, capable of predicting future condition ratings of the three main components of a bridge; wearing surface, superstructure, and substructure. The contribution to bridge deterioration by environment factors including freeze-thaw cycles, de-icing salts, and vehicular traffic, are also examined through analysis and comparison of deterioration of selected bridges from two contrasting regions in the Province of Ontario.
A deterministic approach to formulating a failure prediction model incorporates a Family of Curves. This approach utilizes a least squares model to fit non-linear polynomial curves to historical bridge inspection data. A probabilistic approach to formulating a failure prediction model incorporates a Markovian Process which provides information on the probability of moving from one condition state (or rating) to another given the present condition state. Both of these models generate curves depicting deterioration patterns for the three main components of a bridge.
"Perhaps the most notable contribution of this work is the development of a method for generating failure prediction curves based on age of ""original & renewed component."" This approach excludes the effects of major repairs and provides the most realistic representation of bridge component deterioration. Success in testing the predictive ability of this approach on sampled bridges demonstrates the value to decision makers of the model developed in this research."
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
