Oumaima Abra and Mahdi Ben Ftima
Article (2024)
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Abstract
This work presents a new developed assessment methodology based on strength reduction and finite element methods which is suitable for existing large reinforced concrete structures commonly used in hydraulic constructions. The methodology is based on a reloading phase of the finite element model and is preceded by an intermediate reduction phase of concrete tensile strength and an initial loading phase up to service level. Rosenblueth’s point estimate method was used to compute a global resistance factor and to deduce a design resistance value of the structure. After validations, the methodology was applied to two existing complex and large hydraulic structures: a spiral case and a draft tube. If compared with existing methodologies using sophisticated non-linear finite element methods, the developed approach is simpler, more practical, and provides results that are on the conservative side. Considering the difficulties in characterizing the tensile peak and post-peak strength of concrete, along with uncertainties regarding the damage conditions of facilities, the developed methodology is deemed robust and well suited for assessing existing critical large reinforced concrete infrastructures.
Uncontrolled Keywords
large reinforced concrete structures; assessment; strength reduction method; non-linear finite element; global resistance factor; hydraulic structures
Subjects: | 1000 Civil engineering > 1000 Civil engineering |
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Department: | Department of Civil, Geological and Mining Engineering |
PolyPublie URL: | https://publications.polymtl.ca/57586/ |
Journal Title: | Applied sciences (vol. 14, no. 4) |
Publisher: | Multidisciplinary Digital Publishing Institute |
DOI: | 10.3390/app14041614 |
Official URL: | https://doi.org/10.3390/app14041614 |
Date Deposited: | 25 Mar 2024 15:19 |
Last Modified: | 27 Sep 2024 20:26 |
Cite in APA 7: | Abra, O., & Ben Ftima, M. (2024). Strength Reduction Method for the Assessment of Existing Large Reinforced Concrete Structures. Applied sciences, 14(4), 1614 (19 pages). https://doi.org/10.3390/app14041614 |
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