International Session (Structural Engineering)

[CS2-19] VOLTERRA SERIES-BASED NONLINEAR BUFFETING ANALYSIS OF LONG-SPAN BRIDGES SUBJECTED TO NON-SYNOPTIC WINDS

〇Khawaja Ali¹, Hiroshi Katsuchi¹, Hitoshi Yamada¹ (1.Yokohama National University)

Keywords:Buffeting response, Non-synoptic wind, Volterra series, Long-span bridges, Artificial Neural Network

This paper presents a nonlinear framework for the prediction of buffeting response of long-span bridges subjected to non-synoptic winds by using Volterra series-based wind load model. First, the Volterra kernels are identified by (1) experimental data (2) Artificial Neural Network (ANN). Then, the non-synoptic wind fields are simulated around the bridge based on the evolutionary power spectral density (EPSD) of measured wind speed. Finally, a numerical example of a real bridge model is presented, and buffeting analysis results are compared with the measurement data and LU model.