Abstract
Abstract Bridge Management aims to provide an appropriate support to decision-making for maintenance, rehabilitation and repair strategies under constraint of limited budgets. In this regard, the Federal Brazilian Department of Transportation (DNIT) has developed the SGO - a Brazilian Bridge Management System (B-BMS) - and promoted the most comprehensive road bridge inventory under its direct administration. To improve the management of these bridge assets, the DNIT is working to develop a statistical model to predict the future condition of bridge: the most efficient and effective tool in a BMS to planning when the maintenance actions will be required. The current paper reports on findings of inventory, predominantly composed of reinforced concrete bridges, focusing on potential deterioration agents reported and checking their influence on deterioration conditions. Based on national database, the paper proposes a methodology to forecast Brazilian bridges deterioration rates. An example of application is demonstrated and satisfactory prediction accuracy obtained, even for few inspection cycles and under restricted database information.
Highlights
Bridges play a crucial role in civil infrastructure by providing crossings at critical locations
The current paper reports on findings of inventory, predominantly composed of reinforced concrete bridges, focusing on potential deterioration agents reported and checking their influence on deterioration conditions
The present paper describes the current state of the bridge management procedures, as well as tools developed and implemented by DNIT
Summary
Bridges play a crucial role in civil infrastructure by providing crossings at critical locations. They maintain network continuity, traversing natural and human-made features that otherwise would add significant travel time and cost [1]. The primary objective of a BMS is to assist a bridge manager in making optimal decisions regarding allocation of a budgets to the Maintenance, Rehabilitation, and Replacement (MR&R) needs of individual bridges (project level) or a group of bridges (network level) based on their life cycle cost assessment [3]. The database and inventory allow bridge managers to be fully informed about the conditions of the bridges under their control, so that they can make well based decisions about future maintenance and repair activities. To obtain more accurate outcomes of deterioration rates, the inventory must have its peculiarities well identified to set the most appropriate method
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