Publicacións

@article{alvarez_vortex_2025,

title = {Vortex induced vibration analysis of a twin-box bridge deck by means of 3D LES simulations},

author = {Antonio J. Álvarez-Naveira and Félix Nieto-Mouronte},

url = {https://www.sciencedirect.com/science/article/pii/S016761052500011X},

doi = {10.1016/j.jweia.2025.106015},

issn = {0167-6105},

year  = {2025},

date = {2025-03-01},

urldate = {2025-03-01},

journal = {Journal of Wind Engineering and Industrial Aerodynamics},

volume = {258},

pages = {106015},

abstract = {Twin-box decks are prone to suffer vortex-induced vibrations (VIV). Although this phenomenon has been widely studied experimentally, there are still gaps in our understanding about the complex interplay between the incoming flow, the windward and leeward boxes, and the potential oscillation of the deck. This work exploits the ability of 3D LES simulations to simulate complex aeroelastic phenomena to delve into the linkage between aerodynamic forcing and heave oscillation through detailed analysis of comprehensive datasets. Several reduced velocities are studied in the VIV-prone range of the bare deck of the Stonecutters Bridge, analysing the spectra of the time-histories of force coefficients, for the overall deck and individual boxes, and heave oscillations. Similarly, the contribution of the local lift coefficient has been studied along with the work done by the deck and the individual boxes at different reduced velocities. It has been found that the leeward box is the one governing the overall VIV response of the deck. The spanwise-averaged time-averaged work distribution around the deck permits the identification of those regions contributing to the heave oscillation build-up, enabling the design of aerodynamic countermeasures for mitigation of VIV tailored for the specific deck geometry and dynamical properties of the deck.},

keywords = {3D LES, Contribution, Correlation, Force coefficients, Pressure coefficient distribution, Strouhal number, Twin-box, Vortex induced vibrations, Vortex shedding, Work},

pubstate = {published},

tppubtype = {article}

}

@article{kusano_importance_2018,

title = {The importance of correlation among flutter derivatives for the reliability based optimum design of suspension bridges},

author = {Ibuki Kusano and Aitor Baldomir-García and José Ángel Jurado-Albarracín-Martinón and Santiago Hernández-Ibáñez},

url = {https://www.sciencedirect.com/science/article/pii/S014102961733523X},

doi = {10.1016/j.engstruct.2018.06.091},

issn = {0141-0296},

year  = {2018},

date = {2018-10-01},

urldate = {2026-08-05},

journal = {Engineering Structures},

volume = {173},

pages = {416–428},

abstract = {The design of long-span bridges is constrained by the uncertainty in the evaluation of flutter velocity. Among all the elements that take part in the flutter assessment, the uncertainty level in experimentally obtained flutter derivatives has the most impact. It is therefore important in the evaluation of flutter velocity to assess the uncertainty which is associated with the adopted experimental method for flutter derivatives. By using a method of coupled motion only to identify eight flutter derivations simultaneously, it is also essential to consider correlations among the points that define the full set of flutter derivatives since they are not independent from one another. In this research, an experimental campaign was carried out to obtain the statistical information of flutter derivatives and to assemble the correlation matrix. Several cases of reliability analyses were performed to illustrate the importance of considering correlation among random variables as well as the significance of uncertainty level in flutter derivatives on bridge flutter failure. Moreover, a study of Reliability Based Design Optimization (RBDO) was carried out to see the influence of correlations among flutter derivatives on the optimum designs. The RBDO of a suspension bridge was performed under probabilistic flutter constraint using Reliability Index Approach (RIA) method, and this methodology was applied to the Great Belt East Bridge.},

keywords = {Correlation, Flutter derivatives, Optimization, Random variables, RBDO, Reliability analysis, Suspension bridge},

pubstate = {published},

tppubtype = {article}

}