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Alonso Medina PAutor (correspondencia)León González JAutor o Coautor

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Reinforced concrete long-term deterioration prediction for the implementation of a Bridge Management System

Publicado en:Materials Today: Proceedings. 58 1265-1271 - 2022-01-01 58(), DOI: 10.1016/j.matpr.2022.02.033

Autores: Alonso Medina P; León González J

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Resumen

Nowadays, an increasing number of reinforced concrete (RC) bridges require refurbishment and repair works due to their advanced deterioration. However, the level of damage that RC structures may experience due to the action of different aggressive agents is not always evident to the naked eye, representing risks for bridges’ owners, concessionaires, and users. Whereas the control of the mechanical deterioration and damage of bridges has reached a high level of development in recent years, the monitoring of the deterioration due to physical, chemical, or biological processes is currently in a less developed stage. For instance, corrosion and carbonation evolution rates of existing structures depend on different threshold values that may differ significantly from the standard values proposed for design purposes of new constructions. Moreover, these threshold values depend on several parameters such as temperature, type of cement, or environmental conditions (e.g., dry-wet cycles). Therefore, durability prediction models must also include an assessment of the evolution of the structural performance exposed to the aggressive actions of various agents simultaneously. During the last decades, many administrations have been implementing Bridge Management Systems (BMS) to control their infrastructures through periodic inspections to detect damages and reduce the risk as well as the uncertainty about the level of investment required to repair a certain structure. The collection of these data results in inspection databases which include large amounts of information that can be used to understand how RC structures deteriorate under different environmental aggressiveness conditions. This paper focuses on the definition of criteria for the implementation of an inspections-based BMS for RC bridges. For the purpose of this paper, since extensive inspections databases are needed to perform the analyses described, real data from the ‘AURA’ BMS have been used, which includes a database of hundreds of Spanish RC bridges’ inspections.

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