| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 267663 | Engineering Structures | 2011 | 11 Pages |
The modeling and seismic analysis of submerged floating tunnels moored by cables is addressed with particular attention to spatial variability of the excitation. Dissipation modeling issues and cables discretization are also discussed.A uniformly modulated random process, whose spatial variability is governed by a single coherency function, is deemed adequate to model the multi-support seismic input for a given structure of large dimension undergoing limited plastic deformation, as the one considered here. A novel method to obtain response spectrum compatible accelerograms is proposed, based on the explicit expression of the median pseudo-acceleration response spectrum induced by the adopted power density function (PSD). This expression is used to identify the parameters of the PSD function that minimize the difference with the elastic response spectrum prescribed by EN 1998; the minimization process is discussed and parameters for the PSD spectra are obtained. Samples of the free-field motion are then generated using a proved and theoretically sound approach and reach a satisfactory agreement with the prescribed response spectra.To model the cables, a 3 node isoparametric cable element is enriched by including hydrodynamic loading, within a numerical procedure for the dynamic time domain step-by-step analysis of non-linear discretized systems.An example of application is shown that makes reference to the bed profile of Qiandao Lake (People’s Republic of China), where a plan exists to build the first SFT prototype.
► Modeling and seismic analysis of submerged floating tunnels moored by cables is addressed. ► Dissipation modeling issues and cables discretization are discussed. ► Response spectrum compatible accelerograms are obtained by a new method. ► The explicit expression of the median PSA spectrum induced by the Kanai–Tajimi PSD is given. ► An application makes reference to the Qiandao Lake (People’s Republic of China).
