Computational modeling reveals geometry-dependent seismic capacity in hybrid steel wall subassemblies, highlighting an efficient framework for preliminary structural design.
Key Points
Develop a computationally efficient, mechanics-informed Monte Carlo framework to assess the probabilistic seismic performance and fragility of hybrid CFS-HRS wall systems with curved steel dampers.
Analyzed a calibrated finite element database of 36 curved steel damper (CSD) configurations spanning six angles (30°–75°), two thicknesses (10, 13 mm), and three depths (30, 40, 50 mm).
Combined closed-form mechanical equations for stiffness, yield, ductility, and collapse capacity with Monte Carlo sampling of material and modeling uncertainties.
Derived lognormal fragility curves and reliability indices across seismic intensity measures of 0.20, 0.50, and 1.00 g.
Installation angle was the primary governing parameter, with median capacity decreasing by approximately 70% as the angle increased from 30° to 75°.
Increasing plate thickness from 10 to 13 mm improved median capacity by approximately 30%, whereas increasing plate depth from 30 to 50 mm improved median capacity by approximately 67%.
Logarithmic dispersion remained nearly constant at β_ln = 0.45 across configurations, indicating that damper geometry shifts median capacity without altering relative uncertainty.