Investigation of the Aerodynamic Analysis of Super Long–Span Bridges by Using ERA-Based Reduced-Order Models

Ebrahimnejad, Latif; Janoyan, Kerop D.; Valentine, Daniel T.; Marzocca, Pier

doi:10.1061/(asce)be.1943-5592.0000607

Cited by 5 publications

(5 citation statements)

References 31 publications

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“…These data are consistent with the capability of the 2DoF [13] and 6DoF [14] HIL systems already available at Politecnico di Milano designed for simulating the motion of a 10MW floating wind turbine [15] with a length scale factor of 75 and a frequency scale factor of 1/25, which makes the motion of the scaled model working the sample displacement and frequency range of a possible floating bridge with the scale factors considered in the paper. For more details about the scaling procedure adopted for floating wind turbines, the reader is referred to [15]. For the sake of completeness in Table 2 …”

Section: Application To Aeroelastic Model Of the Bridgesupporting

confidence: 83%

“…(from [15]) From an aerodynamic point of view, the multi-box decks have better performances in terms of stability and buffeting responses, because of their smaller aerodynamic coefficients. As an example, Table 1 shows the derivatives of the lift and moment coefficients (KL and KM) for the 3 previous sections, having considered for each section its own chord width in the definition of the coefficients.…”

Section: Aeroelastic Stability Improvementmentioning

confidence: 99%

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Super-long bridges with floating towers: the role of multi-box decks and Hardware-In-the-Loop technology for wind tunnel tests

Zasso

Argentini

Bayati

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The super long fjord crossings in E39 Norwegian project pose new challenges to long span bridge design and construction technology. Proposed solutions should consider the adoption of bridge deck with super long spans or floating solutions for at least one of the towers, due to the relevant fjord depth. At the same time, the exposed fjord environment, possibly facing the open ocean, calls for higher aerodynamic stability performances. In relation to this scenario, the present paper addresses two topics: 1) the aerodynamic advantages of multi-box deck sections in terms of aeroelastic stability, and 2) an experimental setup in a wind tunnel able to simulate the aeroelastic bridge response including the wave forcing on the floating. IntroductionThe super long fjord crossings in E39 Norwegian project pose new challenges to large span bridge design and construction technology. Proposed solutions should consider the adoption of super long spans for the deck or floating solutions for at least one of the towers, due to the relevant fjord depth. At the same time, the exposed fjord environment, possibly facing the open ocean, calls for higher aerodynamic stability performances, compared to the existing long-span bridges further inland.The choice of the multi-box deck section concept has reached nowadays a proven technological development and reliability, offering its superior aerodynamic performances as possible key solution for a high aerodynamic stability request Assessment of a considered suspension bridge solution with one or two towers on a floating support is posing non-trivial challenges in terms of experimental validation of the numerically simulated structure dynamics, based on hybrid codes accounting both for the aero-and the hydro-dynamic loads effect. The new technology of Hardware-In-the-Loop (HIL) testing recently developed at POLIMI in the field of floating offshore wind turbines is proposed as a reliable tool for the experimental validation of the complex numerical approach. A 6 degree of freedom platform driven by linear actuators is available at POLIMI at the purpose of simulating the motion of the floater due to the combined action of the hydrodynamic loads on the floater (numerically simulated in real time) and of the aerodynamic and inertial loads transmitted by the tower (measured by a 6 components dynamometer at the tower-

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Section: Application To Aeroelastic Model Of the Bridgesupporting

confidence: 83%

Section: Aeroelastic Stability Improvementmentioning

confidence: 99%

Super-long bridges with floating towers: the role of multi-box decks and Hardware-In-the-Loop technology for wind tunnel tests

Zasso

Argentini

Bayati

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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“…These response surface methods have been used also in the probabilistic torsional flutter [8] and coupled flutter [2,9] analyses considering structural parameter uncertainties. Moreover, a reduced order model developed by [10] utilizes the impulse response of the cross section obtained from CFD simulations, provides an efficient approach to predict the aerodynamic response of a bridge section. However, the model is unable to capture the nonlinear dynamic behaviour due to linearisation.…”

Section: Introductionmentioning

confidence: 99%

Prediction of aeroelastic response of bridge decks using artificial neural networks

Abbas

Kavrakov

Morgenthal

et al. 2020

Computers & Structures

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The assessment of wind-induced vibrations is considered vital for the design of long-span bridges. The aim of this research is to develop a methodological framework for robust and efficient prediction strategies for complex aerodynamic phenomena using hybrid models that employ numerical analyses as well as meta-models. Here, an approach to predict motion-induced aerodynamic forces is developed using artificial neural network (ANN). The ANN is implemented in the classical formulation and trained with a comprehensive dataset which is obtained from computational fluid dynamics forced vibration simulations. The input to the ANN is the response time histories of a bridge section, whereas the output is the motion-induced forces. The developed ANN has been tested for training and test data of different cross section geometries which provide promising predictions. The prediction is also performed for an ambient response input with multiple frequencies. Moreover, the trained ANN for aerodynamic forcing is coupled with the structural model to perform fully-coupled fluid-structure interaction analysis to determine the aeroelastic instability limit. The sensitivity of the ANN parameters to the model prediction quality and the efficiency has also been highlighted. The proposed methodology has wide application in the analysis and design of long-span bridges.

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“…The idea of applying ROMs into aerodynamic analysis was formed in the 80s, starting with moment matching methods based on Arnoldi, Lanczos and rational Krylov procedures (Antoulas, 1986) and developing to singular value decomposition (SVD)-based methods such as proper orthogonal decomposition (Tang and Kholodar, 2001; Rowley, 2005), eigensystem realization algorithm (ERA) (Silva and Raveh, 2001; Silva and Bartels, 2004; Gaitonde and Jones, 2006; Kim, 2005), balanced truncation (Raveh, 2001) and singular perturbations (Allen et al , 2005). For more information on different ROMs, the reader is referred to Ebrahimnejad et al (2014a) and the references therein.…”

Section: Introductionmentioning

confidence: 99%

“…The authors have recently showed the results of ERA-based aerodynamic ROM for a long-span bridge with and without guide vanes (Ebrahimnejad et al , 2012). Also, this procedure has been successfully applied to a bridge section and two simple canonical sections with the same chord length in Ebrahimnejad et al (2014a) and three super long-span bridges in Ebrahimnejad et al (2014b). This work develops the method proposed in Ebrahimnejad et al (2014a, 2012, 2014b) to perform aeroelastic analysis by coupling a pertinent aerodynamic ROM and compatible reduced DOF structural system.…”

Section: Introductionmentioning

confidence: 99%

Applications of reduced order models in the aeroelastic analysis of long-span bridges

Ebrahimnejad

Janoyan

Valentine

et al. 2017

Self Cite

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Purpose The application of reduced order models (ROMs) in the aerodynamic/aeroelastic analysis of long-span bridges, unlike the aeronautical structures, has not been extensively studied. ROMs are computationally efficient techniques, which have been widely used for predicting unsteady aerodynamic response of airfoils and wings. This paper aims to discuss the application of a reduced order computational fluid dynamics (CFD) model based on the eigensystem realization algorithm (ERA) in the aeroelastic analysis of the Great Belt Bridge (GBB). Design/methodology/approach The aerodynamic impulse response of the GBB section is used to construct the aerodynamic ROM, and then the aerodynamic ROM is coupled with the reduced DOF model of the system to construct the aeroelastic ROM. Aerodynamic coefficients and flutter derivatives are evaluated and compared to those of the advanced discrete vortex method-based CFD code. Findings Results demonstrate reasonable prediction power and high computational efficiency of the technique that can serve for preliminary aeroelastic analysis and design of long-span bridges, optimization and control purposes. Originality/value The application of a system identification tool like ERA into the aeroelastic analysis of long-span bridges is performed for the first time in this work. Authors have developed their earlier work on the aerodynamic analysis of long-span bridges, published in the Journal of Bridge Engineering, by coupling the aerodynamic forces with reduced DOF of structural system. The high computational efficiency of the technique enables bridge designers to perform preliminary aeroelastic analysis of long-span bridges in less than a minute.

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Investigation of the Aerodynamic Analysis of Super Long–Span Bridges by Using ERA-Based Reduced-Order Models

Cited by 5 publications

References 31 publications

Super-long bridges with floating towers: the role of multi-box decks and Hardware-In-the-Loop technology for wind tunnel tests

Super-long bridges with floating towers: the role of multi-box decks and Hardware-In-the-Loop technology for wind tunnel tests

Prediction of aeroelastic response of bridge decks using artificial neural networks

Applications of reduced order models in the aeroelastic analysis of long-span bridges

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