Abstract

Within the context of structure deterioration studies, we propose a new numerical method based on the use of fragility curves. In particular, the present work aims to theoretically study the degradation of concrete bridge structures subjected to aggressive environments. A simple probabilistic method based on fragility curves is presented which allows the forecasting of the lifetime of the considered structural system and the best monitoring time. The method was applied to investigate the degradation of a concrete bridge used as a case study. A Monte Carlo numerical procedure was used to simulate the variation over time of the residual resistant section and the ultimate bending moment of the deck of the case study. Within this context, fragility curves are used as reliable indicators of possible monitoring scenarios. In comparison with other methods, the main advantage of the proposed approach is the small amount of computing time required to obtain rapid assessment of reliability and deterioration level of the considered structure.

Highlights

  • During their life spans, structures that are subjected to an aggressive environment can suffer deterioration of their component materials

  • It will be appropriate to update the fragility curves with the insertion of data relating to postintervention monitoring, to improve the forecast

  • Remarksa certain number of damage surveys for each monitoring moment, it is possible to construct experimental fragility curves capable describInfrastructure monitoring surveysand cantheoretical detect the reduction in theofresistant ing the of possible evolution ofbars deterioration over time

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Summary

Introduction

Structures that are subjected to an aggressive environment can suffer deterioration of their component materials. In probabilistic methods (more suitable for a type of random uncertainty), the forecast of future damage is often evaluated with static or dynamic structural analyses, linear or not, based on the application of Monte Carlo simulations of the behavior over time of structures and structural elements affected by a certain deterioration. The application of this technique aims to formulate a reliable forecast of the evolution of the damage thanks to the creation of a large samples that can be considered a statistical truth [8].

Stochastic Modelling of the Deterioration Process
Theoretical Fragility Functions
Case Study
Simulation of Deterioration by Fragility Curves
Simulation of Deterioration
Construction of Fragility Curves as “Statistical Truth”
Fragility Curves as Indicators of Possible Monitoring Scenarios
Scenario
Concluding
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