What is it about?

This research consists to determine the security margin reliability with probabilistic analysis using the dynamic computed stresses and the RC reinforced concrete strength of a specific bridge structure. The maximum stresses are obtained from a dynamic finite element damage detection analysis in which each value is computed inside a mesh element under severe loadings [1, 5]. The RC strength stochastic characteristics are calculated from experiments and RC composite materials mixture rules. Reliability of computed stresses from a damage detection analysis [1] became an important structural health monitoring process. The main objective of this research work is the probabilistic analysis of the dynamic operating stresses using their calculated stochastic characteristics. This research work allows quantifying the structural warranty period including unpredictable and stochastic phenomena like natural disasters under severe loadings. An important vital structure with known stochastic characteristics is analyzed by quantifying and increasing its lifetime period. The RC strength stochastic characteristics and structural security margin reliability of a specific designed structure are performed.

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Why is it important?

Optimized Probabilistic Design of an Existing Structure Using the Reliability of the Security Margin Stochastic Variable. Vital Bridges on Large Bodies of Drinking Water and Vital Structures Need to be Analyzed with this Method.

Perspectives

We have introduced in this research work an efficient method to perform the stochastic stresses characteristics in order to check and improve the structural health using the stochastic security margin variable. Unpredictable and stochastic phenomena like natural disasters under severe loadings are quantified in this research and the structural lifetime period can be handled and increased. Experiments to determine the structural stochastic characteristics for each most important specific structure are a recommended process. The practical RC strength stochastic characteristics and structural security margin reliability of a specific designed structure are also performed.

Dr mohammed lamine Moussaoui
USTHB

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This page is a summary of: Structural Probabilistic Health Monitoring of a Potentially Damaged Bridge, January 2021, EJournal Publishing,
DOI: 10.18178/ijscer.10.3.119-122.
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