Multiscale Modeling and Model Updating of a Cable-Stayed Bridge. II: Model Updating Using Modal Frequencies and Influence Lines

Xiao, Xiang; Xu, You Lin; Zhu, Qing

doi:10.1061/(asce)be.1943-5592.0000723

Cited by 65 publications

(47 citation statements)

References 25 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%

“…The parallel model updating technique takes full advantage of the computational resources available on a computer or a distributed computing cluster/cloud. Although there are many successful implementations of model updating for engineering structures in the literature, most of the models are surrogate models, small‐scale FE models, or small portions of a large FE model. It will become computationally prohibitive if considering the model updating of an entire FE model of a long‐span cable‐stayed bridge.…”

Section: Cluster Computing‐aided Fe Model Updatingmentioning

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%

“…Wang et al built a multiscale model of the Runyang suspension bridge and updated the modulus of the bridge deck based on the field measurement data, in which the gradient‐based optimization algorithm is combined with fuzzy theory to reduce the workload of searching a global optimum. Zhu et al and Xiao et al established a multiscale model of the Stonecutters cable‐stayed bridge in Hong Kong, and the FE model is updated based on the measurement data of the modal information and influence line analysis. The global optimum and corresponding model parameters are derived by combining the RSM and a multistart gradient‐based optimization method.…”

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%

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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: Cluster Computing‐aided Fe Model Updatingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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Collapse prognosis of a long‐span cable‐stayed bridge based on shake table test and nonlinear model updating

Lin

et al. 2020

Earthq Engng Struct Dyn

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The collapse of long-span cable-stayed bridges under strong earthquakes will not only result in severe casualties and loss of property but also significantly delay the rehabilitation of the affected area. It is therefore essential to study the failure progress and potential collapse mechanisms of these bridges under strong earthquakes for assisting their inspection and maintenance and helping them survive an earthquake. Collapse simulations in existing studies are commonly conducted with design-document-based finite element (FE) models, which usually neglect the actual damage state of the bridges. The influences of modelling uncertainties on the simulated responses cannot be addressed. This study proposes a nonlinear FE model updating-based collapse prognosis method for long-span cable-stayed bridges, which includes (1) a correlatedupdating-parameter-based nonlinear FE model updating algorithm, (2) a restarted time history analysis-based seismic response prediction method and (3) an elemental deactivation-based collapse simulation algorithm. The shake table test of a scaled Sutong cable-stayed bridge in China is adopted to illustrate the proposed earthquake-induced collapse prognosis method. A refined FE model of the bridge is first established and nonlinearly updated using the measurement data. The collapse prognosis of the bridge under a subsequent strong ground motion is then performed based on the updated model. The predicted structural responses and final failure mechanisms are compared with the measured responses and experimental observations with good agreement, indicating that the proposed method is feasible and accurate for evaluating the seismic performance and failure mechanisms of long-span cable-stayed bridges. K E Y W O R D S collapse prognosis, long-span cable-stayed bridge, nonlinear FE model updating, restarted time history analysis, shake table test 1 | INTRODUCTION With the rapid development of global economy, many long-span bridges have been constructed worldwide over the last few decades. These long-span bridges usually serve as critical infrastructures in urban transportation systems, and many

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Vibration control of stress ribbon bridges subjected to moving vehicles

Xiao

Chen

Shen

et al. 2021

Struct Control Health Monit

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Stress ribbon bridges experience excessive vibration when subjected to moving vehicles due to flexibility and low damping, affecting the running safety and ride comfort of the vehicles. It is of great challenge to suppress the vibration of a vehicle-stress ribbon bridge (VSRB) system because of the strong geometric nonlinearity of the stress ribbon bridge, which might also lead to the inapplicability of the conventional optimal design of tuned mass dampers (TMD). This paper proposes an eddy-current tuned mass damper (ECTMD) and its parameter optimization method for suppressing the excessive vibration of stress ribbon bridges subjected to moving vehicles. A dynamic analysis method of the VSRB system is first presented for evaluating the control performance of the ECTMD. Then, a response surface method is proposed to optimize the parameters of the ECTMD for improving control performance. The control performance of the ECTMD optimized by the proposed procedure is validated using a numerical study of a real stress ribbon bridge. Numerical results demonstrate that the conventional design methodology of the TMD based on the linear theory is not the optimal design for the VSRB system due to its nonlinear vibration feature, whereas the proposed response surface method well optimizes the ECTMD's parameters, thus achieving the optimal control performance. This study provides an effective passive control approach for reducing the dynamic responses of stress ribbon bridges excited by moving vehicles.

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Multiscale Modeling and Model Updating of a Cable-Stayed Bridge. II: Model Updating Using Modal Frequencies and Influence Lines

Cited by 65 publications

References 25 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

Collapse prognosis of a long‐span cable‐stayed bridge based on shake table test and nonlinear model updating

Vibration control of stress ribbon bridges subjected to moving vehicles

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