Flutter reliability analysis of suspension bridges

Application of random eigenvalue analysis to assess bridge flutter probability

“…For example, probabilistic methods have been used to investigate bridge structural reliability, associated with the ultimate collapse limit state induced by flutter (e.g., Cheng et al, 2005;Ge et al, 2000;Pourzeynali and Datta, 2002;Dragomirescu et al, 2003). On the other hand, stochastic calculus has been employed to examine the effects of atmospheric turbulence either on flutter onset (e.g., Bucher and Lin, 1988;Sarkar and Tsiatas, 2009;Bartoli et al, 1997;Cai and Albrecht, 2000;Sepe and Vasta, 2014) and beyond, i.e., in a post-critical state (Hračov et al, 2005;Náprstek and Pospíšil, 2004;Pospíšil et al, 2006).…”

Probabilistic evaluation of the aerodynamic properties of a bridge deck

“…The cov shows very large, large and small values for C L ,C L , St D , respectively: the first value is much larger than the ones adopted in literature (0:05 rcov r0:2 in Ostenfeld- Rosenthal et al, 1992;Ge et al, 2000;Pourzeynali and Datta, 2002;Cheng et al, 2005;Cheng and Li, 2009). It is worth noting that the obtained cov values are expected to further increase, as other uncertain parameters with significant aerodynamic effect are introduced (e.g.…”

“…in Cheng et al, 2005;Cheng and Li, 2009); the large number of uncertainties which characterise not only the real-world conditions of the built prototype, but also the experimental setup of the wind-tunnel scaled model and the evaluation of the flow state variables by means of measurements or numerical simulations. Random lack of aerodynamic similarity among the selected design solution, the experimental conditions and the actual prototype can follow.…”

“…These studies focus on the effects of static forces (Cheng and Li, 2009), buffeting (Caracoglia, 2008) or flutter (Ge et al, 2000;Pourzeynali and Datta, 2002;Cheng et al, 2005). Every study among the cited ones accounts for the uncertainties related to the oncoming wind and structural properties one-byone, while a single fictitious random variable is introduced to indirectly incorporate the uncertainties arising from insufficient knowledge of the aerodynamic/aeroelastic behaviour.…”

Statistical buffeting response of flexible bridges influenced by errors in aeroelastic loading estimation

“…Reliability analysis for flutter has been performed by many researchers (Cheng et al, 2005;Dragomirescu et al, 2003;Kwon, 2010;Mannini and Bartoli, 2007;Pourzeynali and Datta, 2002;Prenninger et al, 1990;Scanlan, 1999), but less attention to structural serviceability during buffeting was given. Flutter derivatives (FDs) are force coefficients per unit length, routinely measured in wind tunnel tests.…”