Publicacións

@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}

}

@article{cid_bengoa_multi-model_2018,

title = {Multi-model reliability-based design optimization of structures considering the intact configuration and several partial collapses},

author = {Clara Cid Bengoa and Aitor Baldomir-García and Santiago Hernández-Ibáñez and Luis E. Romera-Rodríguez},

url = {https://doi.org/10.1007/s00158-017-1789-y},

doi = {10.1007/s00158-017-1789-y},

issn = {1615-1488},

year  = {2018},

date = {2018-03-01},

urldate = {2026-08-04},

journal = {Structural and Multidisciplinary Optimization},

volume = {57},

number = {3},

pages = {977–994},

abstract = {Some structures require keeping a specific safety level even if part of their elements have collapsed. The aim of this paper is to obtain the optimum design of these structures when uncertainty in some parameters that affects to the structural response is also considered. A Reliability-Based Design Optimization (RBDO) problem is formulated in order to minimize the mass of the structure fulfilling probabilistic constraints in both intact and damaged configurations. The proposed methodology combines the formulation of multi-model optimization with RBDO techniques programmed in a Matlab code. Two application examples are presented consisting of a two-dimensional truss structure with stress constraints as well as a curved stiffened panel of an aircraft fuselage subjected to buckling constraints.},

keywords = {Damaged configurations, Fail-safe design, Multi-model, Optimization, RBDO, Reliability index, Uncertainty},

pubstate = {published},

tppubtype = {article}

}