| dc.description.abstract | The Lysefjord Bridge is a suspension bridge at the entrance to the Lysefjord in
south-western Norway at which full-scale measurements on wind conditions and
bridge response are collected using anemometers and accelerometers. In this work
Python is used to develop a toolset for analysing the wind and response
measurement data from the Lysefjord Bridge. The functionality is provided through
different methods compiled in a class. This includes methods for importing and
combining data from multiple days, re-arranging and interpreting the data, feature
engineering, data cleaning, filtering and various types of visualisations. The code is
demonstrated in an analysis of 30 days of data. The analysis focuses on the wind
conditions for south-westerly and north-easterly winds in terms of wind speeds,
primary directions, turbulence intensity and angle of attack as well as the bridges
lateral, vertical and torsional wind response. The analysis shows on average slightly
higher wind speeds, lower turbulence intensities and higher angles of attack for
south-westerly winds, compared to north-easterly winds. Towards the southern end
of the bridge the wind direction has a south tendency for south-westerly winds and
north tendency for north-easterly winds. Turbulence intensity is measured slightly
higher on the downwind side of the bridge. The angle of attack is straightened
towards 0° on the downwind side. Furthermore, the analysis shows that the
assumption of a linear correlation between drag coefficient and angle of attack used
in the so-called quasi-steady theory of wind loading and the corresponding numerical
simulations underestimates most of the larger lateral bridge responses at angles of
attack above 0°. The lift and moment coefficients estimated using similar linearity
assumptions overestimate some of the larger vertical and torsional bridge responses
at angles of attack above +5°. | |
