Abstract
This paper presents a reliability analysis of a reinforced concrete building severely damaged due to the destructions of three outer columns, caused by a landslide. The main objective of this study is to evaluate the relevance of the masonry walls to mitigate the probability of failure of the damaged building. A nonlinear finite element analysis (FEA) was performed to simulate the structural behaviour of the damaged building with and without the contribution of the masonry walls. An Artificial Neural Network (ANN) was also defined and calibrated in order to approach the structural behaviour depending on the possible range values of the significant random variables. Monte Carlo Simulation (MCS), based on the ANN, was finally used to assess the probability of failure of the damaged building considering or not the effect of masonry walls.
Original language | English |
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Pages | 1375-1384 |
Number of pages | 10 |
Publication status | Published - 2016 |
Keywords
- Reliability
- unforeseen event
- RC building
- damage