Model updating of an existing bridge with high-dimensional variables using modified particle swarm optimization and ambient excitation data

Xia, Zhiyuan; Li, Aiqun; Li, Jianhui; Shi, Huiyuan; Duan, Maojun; Zhou, Guangpan

doi:10.1016/j.measurement.2020.107754

Cited by 32 publications

(10 citation statements)

References 28 publications

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“…MATLAB is a commonly utilized computing software in structure optimization because of its excellent calculation and programming capabilities. For topology optimization, Yang et al [24] proposed a modified bidirectional evolutionary structural optimization (BESO) approach that they applied using MATLAB software.…”

Section: Computational Tools and Design Platformsmentioning

confidence: 99%

“…However, there are some disadvantages of metaheuristic techniques i.e. the high complexity [23], and deficiency for high-dimensional dilemmas [24], etc. Therefore, big numbers of researchers documented to concentrate on increasing the achievement of improvement (optimization) techniques either to recommend unique optimization techniques or to improve the prevailing metaheuristic techniques.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Literature review of bridge structure's optimization and it's development over time

Zaheer

Tan

Qamar

2022

Int. J. Simul. Multidisci. Des. Optim.

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The structural development in bridge engineering along with efficiency have got much attention in few decades. Leading to the development, Optimization of structure established on mathematical analysis emerged mostly employed strategies for productive and sustainable design in the bridge engineering. Despite the widespread knowledge, there has yet to be a rigorous examination of recent structural optimization exploration development. Thus, the primary objectives of this paper are to critically review previous structural optimization research, provide a detailed examination of optimization goals and outline recent research field limitations and provide guidelines for future research proposal in the field of bridge engineering structural optimization. This article begins by outlining the relevance of efficiency and sustainability in the bridge construction, as well as the work done required for this review. Suitable papers are gathered and followed by a statistical analysis of the selected publications. Following that, the selected papers are evaluated in terms of the optimization targets as well as their spatial patterns. Structure's optimization four key steps, including modeling, optimization techniques, formulation of optimization concerns and computational tools, are also researched and examined in depth. Finally, research gaps in contemporary works are identified, as well as suggested guidance for future works.

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Section: Computational Tools and Design Platformsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Literature review of bridge structure's optimization and it's development over time

Zaheer

Tan

Qamar

2022

Int. J. Simul. Multidisci. Des. Optim.

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“…In 2008, Huabing and Weixin [13,14] applied the response surface method to update the fnite element model of the Hongtang Bridge, and the results showed that the response surface method can signifcantly improve the effciency of model updating and that the calculation method is simple and easy to apply in engineering practice. In 2012, Zhouhong et al [15,16] Te selection of the optimal solution algorithm for the response surface model is a key factor afecting the accuracy of fnite element model updating [21,22]. Te simulated annealing algorithm is a stochastic optimization algorithm based on an iterative solution strategy.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Model Updating of Bridge Structures Based on Improved Response Surface Methods

Zhao

Zhang

et al. 2023

Structural Control and Health Monitoring

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An accurate and reasonable finite element model is essential for bridge structural health monitoring and safety assessment. To improve the accuracy and efficiency of the finite element model updating, this paper proposes a finite element model updating method for bridge structures based on an improved response surface method. By introducing the radial basis function as the augmentation term of the polynomial function, a response surface model based on the augmentation polynomial is established, and the fitting accuracy of the global response surface model is improved. The convergence speed and accuracy of the response surface model optimization solution are improved by improving the regression step and annealing strategy in the simulated annealing algorithm. The method is validated using the numerical case of a simply supported beam and the finite element model of the main bridge of the Tonghe Songhua River Highway Bridge (Tonghe Bridge), and the safety condition of the main bridge of the Tonghe Bridge is evaluated using the updated finite element model. The results show that the maximum relative error of the updated parameters of the simply supported beam decreased from 13.011% before improvement to 0.719% after improvement, and the maximum relative error of the natural frequencies decreased from 0.728% before improvement to 0.225% after improvement; the maximum relative error of the natural frequencies of the finite element model of the Tonghe Bridge main bridge decreased from 21.68% before improvement to 4.23% after improvement. In April, May, and June of 2021, the main bridge of the Tonghe Bridge operated well and had a good security reserve.

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“…Several studies in the literature have focused on the system and damage identification of bridges subjected to ambient or traffic excitation (i.e., operational conditions). Modal-based model updating has been used in real-world and laboratory settings using deterministic and stochastic filtering approaches [8,[27][28][29][30][31]. The performance of these methods is evaluated by comparing the identified and posterior FE-predicted modal signatures of the studied bridge.…”

Section: Introductionmentioning

confidence: 99%

A Two-step FE Model Updating Approach for System and Damage Identification of Full-Scale Prestressed Bridge Girders

Malekghaini¹,

Ghahari²,

Ebrahimian³

et al. 2022

Preprint

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The average age of in-service bridges has increased in recent years in the United States. To address this issue, structural health monitoring and damage identification approaches can be employed to prioritize maintenance/replacement of aging bridges. Among the damage identification and operational health monitoring approaches, finite element (FE) model updating methods can offer a solution to evaluate the mechanics-based characteristics of bridges. However, in a real-world setting, unidentifiability and mutual dependency between model parameters, modeling errors, especially due to boundary conditions, as well as ill-conditioning of updating algorithms can pose challenges to the application of FE model updating methods. To address these challenges, this study presents a two-step FE model updating approach. In the first step, modal-based model updating is used to estimate linear model parameters mainly related to the stiffness of boundary conditions and material properties. In the second step, in order to refine parameter estimation accounting for nonlinear response behavior of the bridge, a time-domain model updating is carried out. In this step, boundary conditions are fixed at their final estimates using modal-based model updating. To prevent the convergence of updating algorithm to local solutions, the initial estimates for nonlinear material properties are selected based on their corresponding final estimates in the modal-based model updating. To validate the applicability of the two-step FE model updating approach, a series of forced-vibration experiments are designed and carried out on a pair of decommissioned and deteriorated prestressed bridge I-girders. After carrying out the two-step FE model updating, the final estimates of concrete compressive strength are shown to provide reasonable assessment of the damage extent in the girders.

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Model updating of an existing bridge with high-dimensional variables using modified particle swarm optimization and ambient excitation data

Cited by 32 publications

References 28 publications

Literature review of bridge structure's optimization and it's development over time

Literature review of bridge structure's optimization and it's development over time

Finite Element Model Updating of Bridge Structures Based on Improved Response Surface Methods

A Two-step FE Model Updating Approach for System and Damage Identification of Full-Scale Prestressed Bridge Girders

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