Doran, BilgeShen, Jiehua 'Jay'Wen, RouAkbas, BulentBozer, Ali2025-02-242025-02-2420170965-09111751-770210.1680/jstbu.16.000202-s2.0-85011990386https://doi.org/10.1680/jstbu.16.00020https://hdl.handle.net/20.500.14440/935Non-ductile, concentrically braced frames are a common lateral force-resisting system used in low-to-moderate seismic regions in the USA. However, their dynamic responses to earthquake ground motions have not been well examined. Structural engineers usually design them conservatively as brittle structures with a small response-modification factor, while building codes restrict their use to low-rise buildings. In this paper, seismic responses of two typical non-ductile concentrically braced frames, one of three storeys and one of nine storeys, were predicted through a neural network model. Twelve input parameters, covering non-linear features from structural components and the uncertain nature of earthquake ground motions, were used in the modelling. Numerical results extracted from thousands of non-linear time-history analyses under one set of moderate ground motions were used to develop the model. Sensitivity analyses were conducted to evaluate the impacts of input parameters on the peak inter-storey drift ratio, designed as an output parameter in the model. The results are shown to be promising considering the uncertainties in both ground motions and the characteristics of structures.eninfo:eu-repo/semantics/closedAccessmathematical modellingseismic engineeringsteel structuresNeural network model for seismic response of braced buildingsArticle1673Q2159170WOS:000393676000002Q3