• International conference on construction engineering and project management
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• 2011.02a
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• pp.597-602
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• 2011

A robust asset management methodology is essential for effective decision-making of maintenance, repair and rehabilitation of a bridge network. It can be achieved by a computer-based bridge management system (BMS). Successful BMS development requires a reliable bridge deterioration model, which is the most crucial component in a BMS, and an optimal management philosophy. The maintenance optimization methodology proposed in this paper is developed for a small bridge network with limited structural condition rating records. . The methodology is organized in three major components: (1) bridge health index (BHI); (2) maintenance and budget optimization; and (3) reliable Artificial Intelligence (AI) based bridge deterioration model. The outcomes of the paper will help to identify BMS implementation problems and to provide appropriate solutions for managing small bridge networks.

• Smart Structures and Systems
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• v.20 no.6
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• pp.697-708
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• 2017

Maintenance plays a critical role in the bridge industry, but actual practices show many limitations because of traditional, 2D-based information systems. It is necessary to develop a new generation of maintenance information management systems for more reliable decision making in bridge maintenance. Enhancing current work processes requires a BIM-based 3D digital model that can use information from the whole lifecycle of a project (design, construction, operation, and maintenance) through continuous exchanges and updates from each stakeholder. This study describes the development of a data scheme for maintenance of cable-stayed bridges. We implemented the proposed system for a cable-stayed bridge and discussed its effectiveness.

• Smart Structures and Systems
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• v.26 no.4
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• pp.533-544
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• 2020

Effective bridge maintenance reduces bridge operation costs and extends its service life. The possibility of storing bridge life-cycle data in a 3D parametric model of the bridge through Bridge Information Modeling (BrIM) provides new opportunities to enhance current practices of bridge maintenance management. This study develops a Decision Support System (DSS), namely BrDSS, which employs BrIM and an efficient optimization model for bridge maintenance planning. The BrIM model in BrDSS extracts basic data of elements required for the optimization process and visualizes the inspection data and the optimization results to the user to help in decision makings. In the optimization module of the DSS, the specifically formulated Genetic Algorithm (GA) eliminates the chances of producing infeasible solutions for faster convergence. The practicality of the presented DSS was explored by utilizing the DSS in the maintenance planning of a bridge under operation in the southwest of Iran.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.810-819
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• 2007

Usually the status of a bridge is determined by its structural capability and material strength. Consequently a lot of researchers have studied the failure, the fatigue, and the deterioration of the structure in terms of the structural function of a bridge. However, the overall performance of a bridge may be affected simply by the damage of one of its components. Therefore this study utilized a systematic classification and statistical analysis based on the existing bridge inspection data collected in Taiwan to reach the following goals: (1) assess the performance distribution and deterioration rate for bearing and expansion joint of bridge; (2) find out the right time to do the preventive and essential maintenance for the component of bridge with an empirical method, and to decide what time and which component of a bridge will receive preventive maintenance or regular maintenance.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.440-449
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• 2007

This paper describes the efforts in developing several versions of bridge management system (BMS) in Taiwan. There were several versions of stand-alone BMS developed in Taiwan prior to the Ji-Ji earthquake that occurred in year 1999. Since many bridges were seriously damaged by this earthquake, the Ministry of Transportation and Communication determined to develop a nationwide BMS to have a better by control on the status of bridge maintenance. Implemented in year 2000, the Taiwan Bridge Management system (T-BMS) is now the dominating and mandatory system used by all the government agencies that are responsible for bridge maintenance. Having more then 25,000 bridges in its inventory, T-BMS has thousands of logins per month to update data in the relevant database. The experiences and difficulties of using such a nationwide bridge management system are discussed. Finally, future plans for BMS development are also proposed in this paper.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.130-137
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• 2017

To maintain traffic safety during the target lifetime of bridges, it is essential to secure an appropriate maintenance budget and allocate that budget appropriately. This paper proposes a reasonable budget allocation system that considers various impact factors to improve the conventional budget allocation method simply considering the bridge scale. The maintenance action rate model and the unit cost model based on the prior maintenance history were developed to allocate appropriately the bridge maintenance budget for the total bridges of the management organization with the target management level. A method to determine the optimal budget allocation ratio for each management subject was proposed and case analysis was conducted using the proposed model. Proper budget allocation was made considering the bridge types, current safety level, and service life as well as the bridge size as an impact factor of the budget allocation of the bridge. The developed method can prevent budget waste and provide a rational basis for budget allocation by implementing the rational budget distribution.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.1350-1358
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• 2008

Recently the study related to life cycle cost analysis of railway structure consisted of a complex is proceeded covering several range, which is considering the methodology of efficiency and rationalization for maintenance and analysing long-time behavior of the structure of looking at standpoint from asset management and safety. But LCCA(life cycle cost analysis) of railway structure was almost impossible as there were not anything datum for maintenance plan, such as maintenance periods related to each of components(painting and corrosion of steel, and cracking of elements, etc)and maintenance proportion, despite of its 100-year history. According, for collecting data related to railway truss bridge, bridge record cards and testing safety papers, and researching question, etc are surveyed and classified for LCC Analysis. Especially, LCC assessment on the side of assets-maintenance considering about initial cost, maintenance cost, and indirect cost is constructed. Maintenance period and complementary measure rate are very important in maintenance. To decide maintenance period, Baysian updating method is applied.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.581-584
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• 2003

Recently, construction industry has an interest on the maintenance area of construction facilities to maximize utilization of the each facility. This study suggests an interactive electronic technical manual for bridge facility to improve quality and to ensure safety of the bridge facility. The improvement method of bridge maintenance system consists of the basic information ell the facilities, maintenance manuals and measurement system. And the suggested system is based on the facilities, maintenance manuals and measurement system. And the suggested system is based on IETM (Interactive Electronic Technical Manual), and this study defines and develops a $BF\_IETM (Bridge Facility\_ITEM$ as the bridge maintenance system.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.532-537
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• 2008

Existing management of bridge is being writing management paper at field and computing at office. These are instability factor on bridge structure because of authenticity deterioration, disutility data management. Therefore, this paper is possibility expedient and objectivity inspection considering check situation at field for solve these problem. And development software which is intelligent bridge maintenance based Ubiquitous. This software can increase authenticity of data through computerization of maintenance data and reduce of time. Also, we confirm effective and facilitate maintenance management using ubiquitous.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.266-269
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• 2003

This study predicts the maintenance and operation level of the bridge based on the LCC concept. In order to predict the LCC of the given case, suggested the maintenance and operation level after reviewing other related materials. Apply the real information of the maintenance and operation to the three casesof the maintenance and operation level (real, current, and prevented maintenance and operation level). And based on such analytical measures, maintenance and operation costs and LCC in maintenance and operation level, have been predicted: therefore, suggests the basic information about maintenance and operation level for the bridge. With a result of this study, we could obtain (1)the LCC of PSC-bridge and RC-bridge is more economy than Steel-bridge and (2)more active maintenance and operation of a bridge is absolutely necessary.