Inverse identification of buffeting and self-excited wind loads on the hardanger bridge from acceleration data

Conference paper (2019)

Authors

Øyvind Wiig Petersen Norwegian University of Science and Technology (NTNU)
Ole Øiseth Norwegian University of Science and Technology (NTNU)
Torodd Skjerve Nord Norwegian University of Science and Technology (NTNU)
E. Lourens Dynamics of Structures - CEG , Offshore Engineering - CEG
Research Group
Offshore Engineering (CEG) (TU Delft)
Copyright: © 2019 Oyvind W. Petersen, Ole Øiseth, Torodd Skjerve Nord, E. Lourens
DOI: https://doi.org/10.7712/120119.7238.20007
Kalman filter Force identification Structural monitoring Suspension bridge
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Published Date

2019

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Hydraulic Engineering

Research Group

Offshore Engineering

Abstract

The traditional wind load assessment for long-span bridges rely on assumed models for the wind field and aerodynamic coefficients from wind tunnel tests, which usually introduces some uncertainties. It is therefore desired to develop tools that can utilize full-scale vibration response data from existing bridges in order to study the wind loading in detail for in-situ conditions. This paper presents a novel case study of inverse identification of dynamic wind loads on the 1310 m long Hardanger bridge, a suspension bridge equipped with a network of accelerometers. The identification method used is an extented Kalman-type filter for joint input, state, and parameter estimation. A system model considering the still-air modes in addition to a quasi-steady submodel for the self-excited forces of the bridge is presente. The coefficients for self-excited lift and pitching moment are considered unknown and are jointly estimated with the buffeting forces.

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