Developing Regional Seismic Fragility Curves Using ETABS for a Multi-Storey Residential Building

Abstract

Seismic risk assessment is critical for improving the resilience of buildings in earthquake-prone areas. The main goal of this study is to create regional seismic fragility curves for a high-rise residential structure in Dhaka, Bangladesh. Pushover analysis, a complex nonlinear static approach, is used in the analysis, which is carried out using the ETABS structural analysis software. The main goal is to quantify the building's structural performance under various seismic intensities to fully comprehend its susceptibility and develop solutions for risk mitigation. The research begins with the selection of a typical Dhaka residential building typology that serves as a sample case study. Using ETABS, a three-dimensional finite element model of the building is created, taking into account its geometrical characteristics and material composition following regional building standards and codes. Using experimental and empirical data, the model's dependability is verified. A collection of ground motion records that are typical of the local seismic risk is then used as input for the pushover analysis. Insight into potential failure mechanisms, such as column yielding, beam plasticization, and overall structural collapse, is provided by the study, which evaluates how the building performs at various earthquake intensities. The fragility curves are created by comparing structural damage states to the associated seismic intensity measurements. The probability of achieving or exceeding a particular damage state for a given seismic intensity level is quantified using fragility curves, which are fundamental probabilistic techniques. For risk assessment, emergency response planning, and strategy retrofitting, these curves offer useful information. By determining fragility correlations particular to the Dhaka environment and taking into account elements including regional soil characteristics, building design, and earthquake patterns, the study adds to the body of current information.