Updating Multiscale Model of a Long-Span Cable-Stayed Bridge

Wang, Feng-Yang; Xu, You‐Lin; Sun, Bin; Zhu, Qing

doi:10.1061/(asce)be.1943-5592.0001195

Cited by 40 publications

(25 citation statements)

References 24 publications

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“…In principle, the selection of indices must take into account not only the sensitivity of indices to the structural parameters for updating but also the quality of the measured indices extracted from the measurement data. Among existing studies, different kinds of indices are used to create the objective function for the FE model updating, such as modal information, influence lines, time‐history records, local responses, and so on. Furthermore, the multiobjective functions are composed of several single‐objective functions.…”

Section: Computational Framework Of the Fe Model Updating Used In Thimentioning

confidence: 99%

“…Furthermore, the multiobjective functions are composed of several single‐objective functions. The trade‐off between different objectives in a multiobjective problem can be evaluated by the Pareto Front or other methods.…”

Section: Computational Framework Of the Fe Model Updating Used In Thimentioning

confidence: 99%

“…Fei et al and Duan et al used shell/solid elements to model the hollow‐section reinforced concrete towers and steel decks of the Tsing Ma suspension bridge, but the large number of degrees of freedom (DOFs) resulting from such fine modeling caused difficulties in the dynamic analysis and the FE model updating. To capture both global and local responses and behaviors of a long‐span cable‐stayed bridge and at the same time to consider the computational demand, multiscale FE models of long‐span bridges were also proposed and established . It should be noted that even though the FE models established above help to simulate the structural responses of long‐span bridges in a scientific manner, the results may still not reproduce the actual responses since many uncertainties and errors are involved in the FE models, including (a) the uncertainties in modeling geometries, material properties, and boundary conditions; (b) the errors caused by poor FE meshes or the use of too simplified elements; (c) the assumptions made in the FE modeling process such as the assumption of rigid connections between the major structural components; and (d) the errors from the computing algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…The global optimum and corresponding model parameters are derived by combining the RSM and a multistart gradient‐based optimization method. Wang et al updated the FE models of the Stonecutters cable‐stayed bridge and a high‐voltage transmission tower using the Kriging metamodel and the GA‐based multiobjective optimization algorithm. The accuracies of different surrogate (meta)models are compared .…”

Section: Introductionmentioning

confidence: 99%

“…However, since only limited data are used to simplify the original model to a surrogate model, the accuracy of the surrogate model can only be guaranteed at the user‐defined outcomes and/or their neighborhood. From the published results of the surrogate model–based FE model updating, the errors between the updated results and the measured modal frequencies are usually between 1% and 5% . Moreover, the use of the surrogate model may lose the fidelity of the original FE model…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Cluster computing‐aided model updating for a high‐fidelity finite element model of a long‐span cable‐stayed bridge

Lin

et al. 2020

Earthq Engng Struct Dyn

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Accurate and high-fidelity finite element (FE) models are in great demand in the design, performance assessment, and life-cycle maintenance of long-span cable-stayed bridges. The structural system of a long-span cable-stayed bridge is often huge in size and complex with many components connected and various materials constituted. Therefore, the FE model of a long-span cable-stayed bridge involves a large number of elements and nodes with many uncertainties. The model updating of the FE model to best represent a real bridge is necessary but very challenging. One of the challenging issues is that the numerical computation needed for searching the global optimum of a large set of structural parameters is so extensive that the existing FE (not surrogate) model-based updating methods cannot fulfill this task. In this study, a cluster computing-aided FE model updating framework is proposed for the highperformance FE model updating of large and complex structures. In the framework, several computer software packages, including MSC.Marc, Python, and MATLAB, are interconnected for making use of their respective functions of strength. The shake table test of a scaled physical structure of the Sutong cable-stayed bridge in China is used to validate the accuracy and efficiency of the proposed framework. The simulated bridge responses based on the updated FE model are in good agreement with the measured ones from the shake table test. The successful application of the proposed framework provides a reference for the model updating of other types of large and complex structures. K E Y W O R D S cluster computing, finite element model updating, large and complex structures, long-span cable-stayed bridge, shake table test

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Section: Computational Framework Of the Fe Model Updating Used In Thimentioning

confidence: 99%

Section: Computational Framework Of the Fe Model Updating Used In Thimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Cluster computing‐aided model updating for a high‐fidelity finite element model of a long‐span cable‐stayed bridge

Lin

et al. 2020

Earthq Engng Struct Dyn

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Digital twin‐based structure health hybrid monitoring and fatigue evaluation of orthotropic steel deck in cable‐stayed bridge

2022

Structural Contr & Hlth

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Digital twin bridges are virtual replicas of real physical entity bridges in computers. A digital twin bridge in the form of a finite element model can help in making sense of the structural responses monitored by the structure health monitoring system. This study proposes the structure health hybrid monitoring method, which provides a mean for synthesizing monitoring data and finite element model to reconstruct the un-monitoring structure responses, in developing a digital twin of a cable-stayed bridge. The considered structure is the orthotropic steel deck, in which the welding residual stress is an important cause of fatigue cracking. The submodel technology is employed to study the distribution characteristics of welding residual stress and the coupling effect with vehicle-induced stress and temperature-induced stress near the weld in the U-ribs to top deck joint in orthotropic steel deck. Aiming at the defect that cannot consider welding residual stress for the S-N curves based on fatigue evaluation and life prediction method, a nonlinear fatigue damage model based on the continuum damage mechanics, which has been verified by orthotropic steel deck fatigue test, is employed to evaluate the fatigue performance of U-ribs to top deck joint in orthotropic steel deck for an in-service cable-stayed bridge.

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Simplified linear analysis model of longitudinal constraint effect of high-speed railway simply-supported bridge under frequent earthquake

Jiang,

Zhong,

Zhou

et al. 2023

Bull Earthquake Eng

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Updating Multiscale Model of a Long-Span Cable-Stayed Bridge

Cited by 40 publications

References 24 publications

Cluster computing‐aided model updating for a high‐fidelity finite element model of a long‐span cable‐stayed bridge

Cluster computing‐aided model updating for a high‐fidelity finite element model of a long‐span cable‐stayed bridge

Digital twin‐based structure health hybrid monitoring and fatigue evaluation of orthotropic steel deck in cable‐stayed bridge

Simplified linear analysis model of longitudinal constraint effect of high-speed railway simply-supported bridge under frequent earthquake

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