Inverse reconstruction of wind load and stochastic response analysis from sparse long-term response measurements ; Inverse Rekonstruktion von Windlasten und stochastische Reaktionsberechnung auf der Grundlage lückenhafter Langzeitmessungen

Zusammenfassung in deutscher Sprache ; Wind can affect a wide range of structures including ordinary buildings, high-rise buildings and towers, overhead power lines, on/offshore wind turbines, cranes and industrial chimneys etc. In this sense the wind loading accounts for the destructive effects on the structures, which - depending on the particular case - can be due to wind overloads in storm event (e.g. hurricanes, typhoons), aeroelastic stability issues, architectural damages due to sudden change in wind pressure gradients or cumulative fatigue damage in structural elements. As a result wind loading of the structures has received substantial research works in the past decades. Due to this reason, the main attention in this dissertation was drawn to the wind-induced vibration of structures among other excitation sources. The primary goal of the dissertation is inverse identification of the wind load, which is the source of wind-induced vibrations. By -inversely- it is pointed out that wind load cannot be easily measured directly and it is recovered from its effect on the structure, i.e. from the structural response. To this end new formulations to derive the impulse response matrix is provided, which is then used in the problem of load identification. The ill-conditioning of the impulse response matrix made it necessary to deploy a regularization scheme to recover the applied force from noise polluted measured response. The Tikhonov regularized solution in conjunction with generalized cross validation (GCV) and L-curve method were used to solve the inverse problem. The identification procedure was implemented for a simple simulation example as well as its corresponding experimental laboratory case. It is shown that the accuracy of experimentally identified load depends on the sensitivity of measurement instruments over the different frequency range. In the next step, a procedure for inverse wind load reconstruction is presented, which is applicable to multiple degrees of freedom system and is especially ...