A belief rule-base approach to the assessment and improvement of seismic resilience of high-speed railway station buildings

As an important part of the railway system and the key node in the railway transportation network, the railway station undertakes the critical task of realizing convenient passenger transfer and efficient mass transportation. Resilience assessment and improvement of complex communal buildings have recently received significant attention, however, the complexity of including components, spatial structure, and engineering facilities made it challenging to find an accepted framework to assess the resilience of high-speed railway (HSR) stations. To overcome this challenge, the included subsystems for various operations of HSR stations are sorted out in detail, and the hierarchical belief rule-base (BRB) is adopted to establish the quantitative relationship between station function and each subsystem at different states after an earthquake through statistical analysis, expert knowledge, and logic analysis. Subsequently, optimization of the initial parameters in BRB is performed as a demonstration in case users need a more accurate BRB based on their experience and statistics. Finally, three subsystems repair sequential solving methods to improve the seismic resilience of HSR stations are proposed and discussed: the traversal algorithm, sensitivity-based method, and simulated annealing (SA) algorithm. The method proposed in this study paves the way for research on the resilience assessment of HSR station buildings.