A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Assessing seismic vulnerability of structures with damper using an ANN-based approach
The study proposes assessing the seismic vulnerability of G + 15-storey reinforced concrete (RC) buildings using finite element analysis (FEA) software (ETABS) and artificial neural networks (ANNs). The study utilizes finite element models of G + 15 buildings subjected to recent earthquake data, analysing them for seismic vulnerability and incorporating various retrofitting techniques, such as fluid viscous dampers (FVD). The damper locations are varied in the structure for the entire earthquake data considered to study the seismic vulnerability in storey displacements, storey shear, and storey drift. Key structural characteristics were systematically modified, and their impact on seismic response was evaluated through modal dynamic and non-linear time history analyses. The FEA results are used to train an ANN algorithm, creating a function that can predict the seismic behaviour of similar RC structures. This approach offers a fast and potentially generalizable method for seismic vulnerability assessment.
Assessing seismic vulnerability of structures with damper using an ANN-based approach
The study proposes assessing the seismic vulnerability of G + 15-storey reinforced concrete (RC) buildings using finite element analysis (FEA) software (ETABS) and artificial neural networks (ANNs). The study utilizes finite element models of G + 15 buildings subjected to recent earthquake data, analysing them for seismic vulnerability and incorporating various retrofitting techniques, such as fluid viscous dampers (FVD). The damper locations are varied in the structure for the entire earthquake data considered to study the seismic vulnerability in storey displacements, storey shear, and storey drift. Key structural characteristics were systematically modified, and their impact on seismic response was evaluated through modal dynamic and non-linear time history analyses. The FEA results are used to train an ANN algorithm, creating a function that can predict the seismic behaviour of similar RC structures. This approach offers a fast and potentially generalizable method for seismic vulnerability assessment.
Assessing seismic vulnerability of structures with damper using an ANN-based approach
Asian J Civ Eng
Kudari, Rizwan J. (author) / Geetha, L. (author) / Satyanarayana, Ashwini (author)
Asian Journal of Civil Engineering ; 25 ; 5335-5347
2024-11-01
13 pages
Article (Journal)
Electronic Resource
English
Assessing seismic vulnerability of structures with damper using an ANN-based approach
| Springer Verlag | 2024
Assessing the seismic vulnerability of structures with stochastic properties
| British Library Conference Proceedings | 2005
Seismic vulnerability of structures
| TIBKAT | 2013
Seismic Vulnerability Index Approach
| Springer Verlag | 2023