Publicacións

@article{quintela_reliability_2025,

title = {Reliability analysis and parametric studies of the buffeting performance of long-span bridges under multiple sets of random variables},

author = {Juan Quintela-Suárez and Miguel Cid-Montoya and José Ángel Jurado-Albarracín-Martinón and Santiago Hernández-Ibáñez},

url = {https://www.sciencedirect.com/science/article/pii/S0167610525001084},

doi = {10.1016/j.jweia.2025.106112},

issn = {0167-6105},

year  = {2025},

date = {2025-08-01},

urldate = {2025-08-01},

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

volume = {263},

pages = {106112},

abstract = {Buffeting-induced accelerations and displacements of bridge deck girders commonly drive the bridge design’s comfort, operational, and strength limit states. The scattered nature of the main wind characteristics and bridge responses recorded in multiple monitoring campaigns make deterministic approaches insufficient to assess the bridge’s performance along its life span. This study reports comprehensive sensitivity and reliability studies conducted to unveil the influence of multiple parameters controlling long-span bridges’ buffeting responses. The impact of several sets of random variables on the reliability of the Great Belt Bridge is systematically studied. A detailed treatment of the uncertainty of flutter derivatives consisting of combining their frequency-dependent random definition with their experimentally defined correlation is proposed. Results show the drastic impact of uncertainty in the flutter derivatives, the vertical turbulence intensity, the mean wind velocity, and the definition of the buffeting loads, particularly the slopes of the force coefficients and the aerodynamic admittance, on the buffeting-induced accelerations. The influence of aerodynamic admittance on the results is analyzed in the context of random definitions of mean velocity, turbulent intensities, length scales, structural damping, and aerodynamic characteristics. The computational efficiency of gradient-based reliability methods is discussed, showing its potential to address high-dimensional problems within design frameworks.},

keywords = {Aerodynamic admittance, Buffeting, Gradient-based reliability methods, Long-span bridges, Random variables, Reliability analysis},

pubstate = {published},

tppubtype = {article}

}

@article{kusano_reliability_2020,

title = {Reliability based design optimization for bridge girder shape and plate thicknesses of long-span suspension bridges considering aeroelastic constraint},

author = {Ibuki Kusano and Miguel Cid Montoya and Aitor Baldomir-García and Félix Nieto-Mouronte and José Ángel Jurado-Albarracín-Martinón and Santiago Hernández-Ibáñez},

url = {https://www.sciencedirect.com/science/article/pii/S0167610520300866},

doi = {10.1016/j.jweia.2020.104176},

issn = {0167-6105},

year  = {2020},

date = {2020-07-01},

urldate = {2026-08-06},

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

volume = {202},

pages = {104176},

abstract = {Reliability based design optimization (RBDO) for deck shape and thicknesses of the steel plates that form a box girder of long-span suspension bridges is performed considering probabilistic flutter constraint. The entire process was carried out fully computationally including the definition of flutter derivatives. Surrogate models were constructed to estimate the aerodynamic response of the bridge for different deck shapes based on the results from a series of CFD simulations. Some of the aerodynamic coefficients were validated by wind tunnel tests. Flutter derivatives were then estimated using quasi-steady approach for the evaluation of critical flutter velocity. Uncertainty in the aerodynamic coefficients from CFD simulations as well as the extreme wind speed at the bridge site were considered. The formulated methodology was applied to the Great Belt East Bridge.},

keywords = {CFD simulation, Flutter derivatives, Force coefficients, Random variables, RBDO, Reliability analysis, Shape optimization, Surrogate model, Suspension bridge},

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}

}