Bridge Management Research Paper by KLKW

Bridge Management
This paper is an extensive discussion of a systems approach to decision- making in bridge management systems worldwide, especially in the UK.
# 63191 | 19,945 words | 43 sources | APA | 2004 | GB


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Description:

This paper explains that, inevitably, bridges deteriorate over time at different rates: Timely maintenance activities, which are well-planned and carried out with minimal disruption to road users can present substantial savings in terms of both time and money for both bridge owners and road users. The author ponts out that, to tackle the complicated issues regarding bridge management, research activities in the UK as well as other countries in continental Europe concentrate largely on the bridge management process, with attention given to improving the use of limited finances to maximize the returns from the maintenance and repair of the bridge stock as well as reduce additional costs due to traffic delays and lane closures for these activities. The paper includes a critical review of other BMSs used worldwide, development of models to predict bridge condition over time, analysis of the various road user costs and using different optimizing techniques to best allocate finances and optimize bridge performance. 39 tables. 40 figures.

Table of Contents
Introduction
Objective
Bridge Conditions in the U.K.
Introduction
Maintenance and Upgrading
Expenditure
Department of Transport (DoT) Programme
What is a Bridge Management System (BMS)?
Introduction
Department of Transport Structure
Maintenance Agents
BMS in the U.K. and Other Countries
Introduction
Bridge Condition
Other Information in BMS's
Condition Prediction
Cost Models
Decision for Maintenance and Repair
Prioritization
BMS in the U.S.A.
BRIDGIT System
PONTIS System
SMIS System
Inventory
Inspection and Assessment
National Structures Programmes (NSPs)
Prioritization
Project Creation
Whole Life Assessment and Costing
Activities Schedule
Data Accuracy
Design Specifications
Access
Integration with External Systems
Bridge Inspection and Assessment
Bridge Inspection Types
Defects
Bridge Scoring
Introduction
Definitions
Bridge Condition Score (BCS)
Bridge Condition Index (BCI)
Bridge Stock Condition Index (BSCI)
Multi Span Bridges
Bridge Scoring Example
Interpreting BCS's
BCS Results
Histograms for Bridge Stock
Interpreting BCI's
BCI Results
Interpreting BSCI's
Predicting Bridge Condition with Time
Introduction
Markov Chain Approach
Example Calculation
Bridge Condition Example
Bridge Condition Results
Bridge Aggregation Example
Bridge Aggregation Results
Bridge Stock Example
Bridge Stock Results
Traffic Costs
Introduction
Traffic Count Example
Traffic Count Results
Traffic Delay Cost Examples
Delay Costs Results (1st Example)
Delay Costs Results (2nd Example)
Accident Cost Example
Accident Costs Results
Environmental Impact
Introduction
Emissions Example
Emissions Results
Decision-Making and Prioritization
Decision-making
Introduction
Prioritization
Introduction
Dynamic Programming
Budget Allocation Approach
Budget Allocation Results (1st Example)
Budget Allocation Results( 2nd Example)
Budget Allocation Results ( 3rd Example)
Improvements to Budget Allocation Approach
Introduction to BCI optimization approach
Service Potential (BCI) Examples
BCI Optimization Results (1st Example)
BCI Optimization Results (2nd Example)
BCI Optimization Results (3rd Example)
Maintenance Costs Examples
BCI Optimization Results (4th Example)
BCI Optimization Results (5th Example)
BCI Optimization Results (6th Example)
Conclusion
Future Research

From the Paper:

"It is proposed that the transition probabilities to be used are the Bridge Condition Index (BCI), which operates on a linear scale of 0 (worst) to 100 (best). The degree of severity of bridges is linearly distributed over this range (i.e. BCI of 50 to 51 is the same as 90 to 91), except that costs are expected not to have a linear distribution. This is a useful approach as the BCI (average) is interpreted as 'service potential' and is used as a performance indicator.
Using the example for multi span bridges earlier on, the transition probabilities for a three-state Markov chain model with limiting stage value of 3 is proposed. The probabilities are in accordance to the BCI values for the 'good' bridge arranged in order of descending magnitude (i.e. P(1) = 0.9845 and P(2) = 0.9246). For the purposes of comparison, the other two bridges ('medium' and 'bad') are also modelled and the three are plotted together."

Cite this Research Paper:

APA Format

Bridge Management (2006, January 05) Retrieved October 22, 2019, from https://www.academon.com/research-paper/bridge-management-63191/

MLA Format

"Bridge Management" 05 January 2006. Web. 22 October. 2019. <https://www.academon.com/research-paper/bridge-management-63191/>

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