Analyzing Taiwan Bridge Management System for Decision Making in Bridge Maintenance - A Big Data Approach

2015 ◽  
Author(s):  
Nie-Jia Yau ◽  
Yu-Han Chuang
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Management System ◽  
Bridge Management ◽  
Bridge Management System ◽  
Bridge Maintenance

ANALYZING DATABASES IN THE TAIWAN BRIDGE MANAGEMENT SYSTEM USING BIG DATA APPROACHES

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Yu-Han Chuang ◽  
Nie-Jia Yau
Keyword(s):  
Big Data ◽  
Management System ◽  
Big Data Analysis ◽  
Specific Region ◽  
Mountainous Area ◽  
Bridge Management ◽  
R Software ◽  
Bridge Management System ◽  
Maintenance Strategies ◽  
Bridge Maintenance

This paper describes some preliminary results of this research. Before conducting a comprehensive big data analysis of the whole system of Taiwan Bridge Management System (TBMS), a pilot test was performed to explore possible outcomes. A total number of 34,099 records each having 305 fields of 24 bridges in a specific region were analyzed using the famous R software. The resulting correlations between inventory fields and deterioration of bridge components are categorized in three types: explicable, inexplicable, and irrelevant. For those inexplicable correlations, interviews with experts are found necessary in order to explore useful or meaningful maintenance information. Two more similar tests are also being planned for two groups of bridges that are nearby sea or solely in the mountainous area. In addition to the correlation between a specific deterioration and all existing inventory fields, other maintenance information such as frequently maintained components as well as their maintenance frequencies and costs, and other crucial relationships among fields in the TBMS are highly anticipated in this research in order to establish beneficial suggestions to the bridge maintenance strategies in Taiwan.

Establishing MR&R Costs for a Network-Level Bridge Management System

1998 ◽  
Vol 1642 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Teresa M. Adams ◽  
Joseph F. Barut
Keyword(s):  
Management System ◽  
Multiple Comparisons ◽  
Cost Data ◽  
Bridge Management ◽  
Bridge Management System ◽  
Historical Cost ◽  
Bridge Maintenance ◽  
The Cost ◽  
Condition State ◽  
Relative Variability

The development of standardized maintenance, repair, and rehabilitation (MR&R) cost data for a network-level bridge management system (BMS) is presented. The Pontis BMS requires several data inputs, including the agency’s costs to perform bridge maintenance actions. Most states that are implementing Pontis do not have historical cost data standardized according to MR&R action, element, and condition state as required. The development of a questionnaire for collecting MR&R costs is described. The questionnaire was used to collect the estimated costs of MR&R actions on 25 bridge elements. Standard definitions of the physical characteristics for the elements were developed. Direct and indirect factors that influence MR&R costs were identified and organized into scenarios corresponding to the extreme minimum and maximum costs. The cost data collected by the questionnaire were analyzed. Procedures for assessing the variability of the estimated costs are presented. The coefficient of variation was used to measure the relative variability of estimated costs. One-way analysis of variance was used to assess the variation in estimated costs among the elements and MR&R actions. A multiple comparisons with the best analysis was used to identify certain elements and MR&R actions with greatest and least variations in cost. The results of this paper include recommended costs for the MR&R actions on 25 elements for the state of Wisconsin.

scholarly journals Penilaian Kondisi Visual Dan Prediksi Usia Sisa Jembatan Siliti Dengan Metode Bridge Management System

2020 ◽  
Vol 9 (1) ◽  
pp. 1-8
Author(s):  
Adi Setiawan ◽  
Sumargo Sumargo
Keyword(s):  
Management System ◽  
Visual Assessment ◽  
Concrete Bridge ◽  
Remaining Life ◽  
Bridge Management ◽  
Preliminary Assessment ◽  
Bridge Management System ◽  
Bridge Maintenance ◽  
And Performance

One of the efforts in bridge maintenance is by conducting a preliminary assessment with a visual assessment. Growth in the number of vehicles each time will result in a risk of decreasing the capacity of the bridge and its age. Post-construction and maintenance is also a major requirement in infrastructure. This is often ruled out causing the bridge's function and performance to decline and ultimately cause damage. Siliti Bridge is a concrete bridge located in North Bungku Morowali, Sulawesi Tengah. This bridge gets special attention due to quite severe conditions. The purpose of the inspection on the Siliti Bridge is to get its condition visually and determine the estimated age of the remaining bridge which will be capital for further inspection. Bridge Management System (BMS) is a system of assesment to know the existing condition of each element of the bridge. The condition value of the bridge is needed to calculate its remaining life. Based on evaluations conducted in 2017, the value of the Siliti Bridge using the BMS standard is 3 (Damaged). The remaining age of the Siliti Bridge is 8 years.

OPERATIONAL STATE OF BRIDGES OF UKRAINE

2019 ◽  
pp. 57-68
Author(s):  
Larysa Bodnar ◽  
Petro Koval ◽  
Sergii Stepanov ◽  
Liudmyla Panibratets
Keyword(s):  
Management System ◽  
The State ◽  
Operating Conditions ◽  
Bridge Management ◽  
Bridge Management System ◽  
Program Complex ◽  
Operating Condition ◽  
Software Complex ◽  
Automatic Mode ◽  
The Status

A significant part of Ukrainian bridges on public roads is operated for more than 30 years (94 %). At the same time, the traffic volume and the weight of vehicles has increased significantly. Insufficient level of bridges maintenance funding leads to the deterioration of their technical state. The ways to ensure reliable and safe operation of bridges are considered. The procedure for determining the predicted operational status of the elements and the bridge in general, which has a scientific novelty, is proposed. In the software complex, Analytical Expert Bridges Management System (AESUM), is a function that allows tracking the changes in the operational status of bridges both in Ukraine and in each region separately. The given algorithm of the procedure for determining the predicted state of the bridge using a degradation model is described using the Nassie-Schneidermann diagram. The model of the degradation of the bridge performance which is adopted in Ukraine as a normative one, and the algorithm for its adaptation to the AESUM program complex with the function to ensure the probabilistic predicted operating condition of the bridges in the automatic mode is presented. This makes it possible, even in case of unsatisfactory performance of surveys, to have the predicted lifetime of bridges at the required time. For each bridge element it is possible to determine the residual time of operation that will allow predict the state of the elements of the structure for a certain period of time in the future. Significant interest for specialists calls for the approaches to the development of orientated perspective plans for bridge inspection and monitoring of changes in the operational status of bridges for 2009-2018 in Ukraine. For the analysis of the state of the bridge economy, the information is available on the distribution of bridges by operating state related to the administrative significance of roads, by road categories and by materials of the structures. Determining the operating state of the bridge is an important condition for making the qualified decisions as regards its maintenance. The Analytical Expert Bridges Management System (AESUM) which is implemented in Ukraine, stores the data on the monitoring the status of bridges and performs the necessary procedures to maintain them in a reliable and safe operating condition. An important result of the work is the ability to determine the distribution of bridges on the public roads of Ukraine, according to operating conditions established in the program complex of AESUM, which is presented in accordance with the data of the current year. In conditions of limited funding and in case of unsatisfactory performance of surveys, it is possible to make the reasonable management decisions regarding the repair and the reconstruction of bridges. Keywords: bridge management system, operating condition, predicted operating condition, model of degradation, bridge survey plan, highway bridge.

Sign in / Sign up

Export Citation Format

Share Document