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Multivariable Fragility Curves for Reinforced Concrete Columns

Mehdipour, Ramina | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57741 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Mohtasham Dolatshahi, Kiarash
  7. Abstract:
  8. This paper presents a new approach for developing multivariable fragility curves, which examines the effects of the variation of multiple design parameters on the probability of reaching different damage states. The database of this study comprises the results of 260 RC columns tested under the quasi-static cyclic loading. The push of the cyclic plots, technically named the backbone curve, is also extracted for the entire database by the authors. Accordingly, the RC columns are classified into four levels of damage based on the resisting lateral force observed throughout cyclic loading, derived from the backbone of the hysteresis curves. Considering the drift ratio as the primary variable and the design property of a column as the secondary variable, a set of multivariable fragility curves is developed to show the sensitivity of the conventional single-demand-driven fragility curves to the changes of column properties. The results demonstrate that the change in RC column axial load ratio significantly affect the likelihood of reaching damage states. In addition, the effect of simultaneously changing multiple secondary parameters is also investigated through the application of Principal Component Analysis (PCA) in data compression. Based on the achieved results, the outcome of the study provides a more reliable foundation for the fragility analysis of damaged RC columns by leveraging structural characteristics alongside an EDP from the external loading
  9. Keywords:
  10. Reinforced Concrete Columns ; Multivariable Fragility Curve ; Damage Assessment ; Structural Damage Detection (SDD) ; Fragility Surfaces

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