Theoretical and Numerical Investigation of Damage Sensitivity of Steel–Concrete Composite Beam Bridges

To investigate the sensitivity of overall mechanical performance steel–concrete composite beam bridges (SCCBBs) to different types damage, this paper proposes a method analyzing SCCBBs damage based on extremely randomized trees (ET) algorithm in machine learning. A continuous bridge was used as engineering basis, and finite element analyze changes static dynamic response caused by seven damage. The proposed SCCBB analysis theory explore factors results show that microcracks steel beams have most significant impact SCCBBs, followed concrete slab stiffness degradation deck breakage. transverse diaphragms pier is relatively low, while stud fractures bearing minimal. were 0.51, 0.19, 0.13, 0.08, 0.05, 0.03 0.01. This research can provide reference for classification with multiple interlacing.