Finite Element Model Updating of a Long Span Suspension Bridge

Petersen, Øyvind Wiig; Øiseth, Ole

doi:10.1007/978-3-319-78187-7_25

Cited by 9 publications

(8 citation statements)

References 12 publications

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“…2. In this study, the bridge is modelled with n m = 19 vibration modes from a FE model [25,26]. Fig.…”

Section: Data From the Hardanger Bridgementioning

confidence: 99%

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Inverse Identification of Buffeting and Self-Excited Wind Loads on the Hardanger Bridge From Acceleration Data

Petersen¹,

Øiseth²,

Nord³

et al. 2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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The traditional wind load assessment for long-span bridges rely on assumed models for the wind field and aerodynamic coefficients from wind tunnel tests, which usually introduces some uncertainties. It is therefore desired to develop tools that can utilize full-scale vibration response data from existing bridges in order to study the wind loading in detail for in-situ conditions. This paper presents a novel case study of inverse identification of dynamic wind loads on the 1310 m long Hardanger bridge, a suspension bridge equipped with a network of accelerometers. The identification method used is an extented Kalman-type filter for joint input, state, and parameter estimation. A system model considering the still-air modes in addition to a quasi-steady submodel for the self-excited forces of the bridge is presente. The coefficients for self-excited lift and pitching moment are considered unknown and are jointly estimated with the buffeting forces.

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“…2. In this study, the bridge is modelled with n m = 19 vibration modes from a FE model [25,26]. Fig.…”

Section: Data From the Hardanger Bridgementioning

confidence: 99%

“…• Errors in the FE-based state-space model could give some incorrect estimates. Although the model is tuned [25], some temperature variations could affect the still-air natural frequencies and damping and thus also slightly the graphs in Fig. 9 and 10.…”

Section: Assessment Of Effective Modal Propertiesmentioning

confidence: 99%

Inverse Identification of Buffeting and Self-Excited Wind Loads on the Hardanger Bridge From Acceleration Data

Petersen¹,

Øiseth²,

Nord³

et al. 2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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“…Covariance-driven stochastic subspace identification (Cov-SSI) is used to estimate the true natural frequencies (ω j ), damping ratios (ξ j ) and mode shapes (φ j ) of the bridge in operational conditions with low wind velocity (3-6 m/s) so that still-air modal properties is a fair approximation; see [29] for details. It is assumed that the effect of small time-variations in the modal properties due to for example changes in temperature can be neglected.…”

Section: System Modelmentioning

confidence: 99%

“…The FE model is calibrated in a classic sensitivity-based model updating scheme [29], with the objective of matching the mode shapes and natural frequencies of the model to the identified ones. Herein, the following model parameters are adjusted: the densities and elastic stiffnesses of the girder, towers and main cable; the non-structural mass on the girder; the shear stiffness of the girder; the hanger tension; and spring-elastic stiffnesses representing the bearings in the girder-tower connection.…”

Section: System Modelmentioning

confidence: 99%

The use of inverse methods for response estimation of long-span suspension bridges with uncertain wind loading conditions

Petersen

Øiseth

Lourens

2018

J Civil Struct Health Monit

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“…With the increasing establishment of SHM systems on bridge structures and the considerable improvement in numerical models that can be obtained from model updating, applications on several case studies are reported in the literature. These studies include applications on highway and railway bridges (Deng & Cai, 2010;Feng & Feng, 2015;Frøseth, R€ onnquist, & Øiseth, 2016;Jaishi & Ren, 2005;Ribeiro, Calçada, Delgado, Brehm, & Zabel, 2012;Sanayei, Phelps, Sipple, Bell, & Brenner, 2012;Schlune, Plos, & Gylltoft, 2009;Zordan, Briseghella, & Liu, 2014), footbridges (Naranjo-P erez, Jim enez-Alonso, Pavic, & S aez, 2020;Pavic, Hartley, & Waldron, 1998), cable-stay bridges (Asgari, Osman, & Adnan, 2013;Benedettini & Gentile, 2011;Ding & Li, 2008;Z arate & Caicedo, 2008;Zhang, Chang, & Chang, 2001;Zhong, Zong, Niu, Liu, & Zheng, 2016;Zhu, Xu, & Xiao, 2015), suspension and floating bridges (Hong, Ubertini, & Betti, 2011;Merce, Doz, de Brito, Macdonald, & Friswell, 2007;Petersen & Øiseth, 2017Petersen & Øiseth, , 2019, and relevant test structures (Sanayei, Khaloo, Gul, & Catbas, 2015;Zapico, Gonz alez, Friswell, Taylor, & Crewe, 2003;Zhang, Chang, & Chang, 2000).…”

Section: Introductionmentioning

confidence: 99%

Improved finite element model updating of a full-scale steel bridge using sensitivity analysis

Svendsen

Petersen

Frøseth

et al. 2021

Structure and Infrastructure Engineering

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There are many uncertainties related to existing bridges that are approaching or have exceeded their original design life. Lifetime extension analysis of bridges should be based on validated numerical models that can be effectively established. This paper presents a new procedure to obtain an optimal solution from sensitivity-based model updating with respect to an improvement in the modal properties, such as the natural frequencies and mode shapes, based on realistic parameter values. The procedure combines variations in the ratios of overdetermined systems with different definitions of local parameter bounds in a structured approach using a sensitivity analysis. The feasibility of the procedure is demonstrated in an experimental case study. Model updating is performed on a full-scale steel bridge using the natural frequencies and modal assurance criterion (MAC) numbers, where the numerical model is established by considering general uncertainties and model simplifications to reduce the model complexity. From the optimal solution for the case study considered, an improvement in modal parameters is obtained with highly reliable parameter values. The proposed procedure can be applied to similar case studies, irrespective of the structure under consideration and the corresponding parameterisation to be made, to effectively obtain a validated numerical model.

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Finite Element Model Updating of a Long Span Suspension Bridge

Cited by 9 publications

References 12 publications

Inverse Identification of Buffeting and Self-Excited Wind Loads on the Hardanger Bridge From Acceleration Data

Inverse Identification of Buffeting and Self-Excited Wind Loads on the Hardanger Bridge From Acceleration Data

The use of inverse methods for response estimation of long-span suspension bridges with uncertain wind loading conditions

Improved finite element model updating of a full-scale steel bridge using sensitivity analysis

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