Efficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation
plans, providing insights into building performance and retrofitting costs. The complexity of …

Abstract Machine learning techniques have gained attention in earthquake engineering for
their accurate predictions, but their opaque black-box models create ambiguity in the …

In current practice, the seismic design of reinforced concrete shear walls primarily relies on
the wall shear strength as well as proper reinforcement detailing to ensure sufficient ductility …

In the seismic design of composite plate shear walls filled with concrete, referred to as C-
PSW/CF, cyclic backbone curves provide invaluable information for effectively withstanding …

Energy-based seismic design is being rapidly developed and suggests that the seismic
demands are met by the energy dissipation capacity of the structural members. Equivalent …

Double steel plate concrete composite shear wall (SCSW) has been widely utilized in
nuclear power plants and high-rise structures, and its shear connectors have a substantial …

Machine learning is becoming increasingly prevalent for tackling challenges in earthquake
engineering and providing fairly reliable and accurate predictions. However, it is mostly …

Backbone curve, as a nonlinear response analysis method, can be used for performance
assessment of residual resistance and performance prediction during the preliminary design …

Accurate identification of the failure modes of Reinforced Concrete (RC) columns based on
the design parameters of the structural members is critical for earthquake-resistant design …

Backbone curves can reflect the force and deformation characteristics of structures under
seismic action and provide a basis for designing structures ready for construction and …